Tag Archives: neuroscience

Brain stuff: quantum entanglement and a multi-dimensional universe

I have two brain news bits, one about neural networks and quantum entanglement and another about how the brain operates on more than three dimensions.

Quantum entanglement and neural networks

A June 13, 2017 news item on phys.org describes how machine learning can be used to solve problems in physics (Note: Links have been removed),

Machine learning, the field that’s driving a revolution in artificial intelligence, has cemented its role in modern technology. Its tools and techniques have led to rapid improvements in everything from self-driving cars and speech recognition to the digital mastery of an ancient board game.

Now, physicists are beginning to use machine learning tools to tackle a different kind of problem, one at the heart of quantum physics. In a paper published recently in Physical Review X, researchers from JQI [Joint Quantum Institute] and the Condensed Matter Theory Center (CMTC) at the University of Maryland showed that certain neural networks—abstract webs that pass information from node to node like neurons in the brain—can succinctly describe wide swathes of quantum systems.

An artist’s rendering of a neural network with two layers. At the top is a real quantum system, like atoms in an optical lattice. Below is a network of hidden neurons that capture their interactions (Credit: E. Edwards/JQI)

A June 12, 2017 JQI news release by Chris Cesare, which originated the news item, describes how neural networks can represent quantum entanglement,

Dongling Deng, a JQI Postdoctoral Fellow who is a member of CMTC and the paper’s first author, says that researchers who use computers to study quantum systems might benefit from the simple descriptions that neural networks provide. “If we want to numerically tackle some quantum problem,” Deng says, “we first need to find an efficient representation.”

On paper and, more importantly, on computers, physicists have many ways of representing quantum systems. Typically these representations comprise lists of numbers describing the likelihood that a system will be found in different quantum states. But it becomes difficult to extract properties or predictions from a digital description as the number of quantum particles grows, and the prevailing wisdom has been that entanglement—an exotic quantum connection between particles—plays a key role in thwarting simple representations.

The neural networks used by Deng and his collaborators—CMTC Director and JQI Fellow Sankar Das Sarma and Fudan University physicist and former JQI Postdoctoral Fellow Xiaopeng Li—can efficiently represent quantum systems that harbor lots of entanglement, a surprising improvement over prior methods.

What’s more, the new results go beyond mere representation. “This research is unique in that it does not just provide an efficient representation of highly entangled quantum states,” Das Sarma says. “It is a new way of solving intractable, interacting quantum many-body problems that uses machine learning tools to find exact solutions.”

Neural networks and their accompanying learning techniques powered AlphaGo, the computer program that beat some of the world’s best Go players last year (link is external) (and the top player this year (link is external)). The news excited Deng, an avid fan of the board game. Last year, around the same time as AlphaGo’s triumphs, a paper appeared that introduced the idea of using neural networks to represent quantum states (link is external), although it gave no indication of exactly how wide the tool’s reach might be. “We immediately recognized that this should be a very important paper,” Deng says, “so we put all our energy and time into studying the problem more.”

The result was a more complete account of the capabilities of certain neural networks to represent quantum states. In particular, the team studied neural networks that use two distinct groups of neurons. The first group, called the visible neurons, represents real quantum particles, like atoms in an optical lattice or ions in a chain. To account for interactions between particles, the researchers employed a second group of neurons—the hidden neurons—which link up with visible neurons. These links capture the physical interactions between real particles, and as long as the number of connections stays relatively small, the neural network description remains simple.

Specifying a number for each connection and mathematically forgetting the hidden neurons can produce a compact representation of many interesting quantum states, including states with topological characteristics and some with surprising amounts of entanglement.

Beyond its potential as a tool in numerical simulations, the new framework allowed Deng and collaborators to prove some mathematical facts about the families of quantum states represented by neural networks. For instance, neural networks with only short-range interactions—those in which each hidden neuron is only connected to a small cluster of visible neurons—have a strict limit on their total entanglement. This technical result, known as an area law, is a research pursuit of many condensed matter physicists.

These neural networks can’t capture everything, though. “They are a very restricted regime,” Deng says, adding that they don’t offer an efficient universal representation. If they did, they could be used to simulate a quantum computer with an ordinary computer, something physicists and computer scientists think is very unlikely. Still, the collection of states that they do represent efficiently, and the overlap of that collection with other representation methods, is an open problem that Deng says is ripe for further exploration.

Here’s a link to and a citation for the paper,

Quantum Entanglement in Neural Network States by Dong-Ling Deng, Xiaopeng Li, and S. Das Sarma. Phys. Rev. X 7, 021021 – Published 11 May 2017

This paper is open access.

Blue Brain and the multidimensional universe

Blue Brain is a Swiss government brain research initiative which officially came to life in 2006 although the initial agreement between the École Politechnique Fédérale de Lausanne (EPFL) and IBM was signed in 2005 (according to the project’s Timeline page). Moving on, the project’s latest research reveals something astounding (from a June 12, 2017 Frontiers Publishing press release on EurekAlert),

For most people, it is a stretch of the imagination to understand the world in four dimensions but a new study has discovered structures in the brain with up to eleven dimensions – ground-breaking work that is beginning to reveal the brain’s deepest architectural secrets.

Using algebraic topology in a way that it has never been used before in neuroscience, a team from the Blue Brain Project has uncovered a universe of multi-dimensional geometrical structures and spaces within the networks of the brain.

The research, published today in Frontiers in Computational Neuroscience, shows that these structures arise when a group of neurons forms a clique: each neuron connects to every other neuron in the group in a very specific way that generates a precise geometric object. The more neurons there are in a clique, the higher the dimension of the geometric object.

“We found a world that we had never imagined,” says neuroscientist Henry Markram, director of Blue Brain Project and professor at the EPFL in Lausanne, Switzerland, “there are tens of millions of these objects even in a small speck of the brain, up through seven dimensions. In some networks, we even found structures with up to eleven dimensions.”

Markram suggests this may explain why it has been so hard to understand the brain. “The mathematics usually applied to study networks cannot detect the high-dimensional structures and spaces that we now see clearly.”

If 4D worlds stretch our imagination, worlds with 5, 6 or more dimensions are too complex for most of us to comprehend. This is where algebraic topology comes in: a branch of mathematics that can describe systems with any number of dimensions. The mathematicians who brought algebraic topology to the study of brain networks in the Blue Brain Project were Kathryn Hess from EPFL and Ran Levi from Aberdeen University.

“Algebraic topology is like a telescope and microscope at the same time. It can zoom into networks to find hidden structures – the trees in the forest – and see the empty spaces – the clearings – all at the same time,” explains Hess.

In 2015, Blue Brain published the first digital copy of a piece of the neocortex – the most evolved part of the brain and the seat of our sensations, actions, and consciousness. In this latest research, using algebraic topology, multiple tests were performed on the virtual brain tissue to show that the multi-dimensional brain structures discovered could never be produced by chance. Experiments were then performed on real brain tissue in the Blue Brain’s wet lab in Lausanne confirming that the earlier discoveries in the virtual tissue are biologically relevant and also suggesting that the brain constantly rewires during development to build a network with as many high-dimensional structures as possible.

When the researchers presented the virtual brain tissue with a stimulus, cliques of progressively higher dimensions assembled momentarily to enclose high-dimensional holes, that the researchers refer to as cavities. “The appearance of high-dimensional cavities when the brain is processing information means that the neurons in the network react to stimuli in an extremely organized manner,” says Levi. “It is as if the brain reacts to a stimulus by building then razing a tower of multi-dimensional blocks, starting with rods (1D), then planks (2D), then cubes (3D), and then more complex geometries with 4D, 5D, etc. The progression of activity through the brain resembles a multi-dimensional sandcastle that materializes out of the sand and then disintegrates.”

The big question these researchers are asking now is whether the intricacy of tasks we can perform depends on the complexity of the multi-dimensional “sandcastles” the brain can build. Neuroscience has also been struggling to find where the brain stores its memories. “They may be ‘hiding’ in high-dimensional cavities,” Markram speculates.

###

About Blue Brain

The aim of the Blue Brain Project, a Swiss brain initiative founded and directed by Professor Henry Markram, is to build accurate, biologically detailed digital reconstructions and simulations of the rodent brain, and ultimately, the human brain. The supercomputer-based reconstructions and simulations built by Blue Brain offer a radically new approach for understanding the multilevel structure and function of the brain. http://bluebrain.epfl.ch

About Frontiers

Frontiers is a leading community-driven open-access publisher. By taking publishing entirely online, we drive innovation with new technologies to make peer review more efficient and transparent. We provide impact metrics for articles and researchers, and merge open access publishing with a research network platform – Loop – to catalyse research dissemination, and popularize research to the public, including children. Our goal is to increase the reach and impact of research articles and their authors. Frontiers has received the ALPSP Gold Award for Innovation in Publishing in 2014. http://www.frontiersin.org.

Here’s a link to and a citation for the paper,

Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function by Michael W. Reimann, Max Nolte, Martina Scolamiero, Katharine Turner, Rodrigo Perin, Giuseppe Chindemi, Paweł Dłotko, Ran Levi, Kathryn Hess, and Henry Markram. Front. Comput. Neurosci., 12 June 2017 | https://doi.org/10.3389/fncom.2017.00048

This paper is open access.

A question of consciousness: Facebotlish (a new language); a July 5, 2017 rap guide performance in Vancouver, Canada; Tom Stoppard’s play; and a little more

This would usually be a simple event announcement but with the advent of a new, related (in my mind if no one else’s) development on Facebook, this has become a roundup of sorts.

Facebotlish (Facebook’s chatbots create their own language)

The language created by Facebook’s chatbots, Facebotlish, was an unintended consequence—that’s right Facebook’s developers did not design a language for the chatbots or anticipate its independent development, apparently.  Adrienne LaFrance’s June 20, 2017 article for theatlantic.com explores the development and the question further,

Something unexpected happened recently at the Facebook Artificial Intelligence Research lab. Researchers who had been training bots to negotiate with one another realized that the bots, left to their own devices, started communicating in a non-human language.

In order to actually follow what the bots were saying, the researchers had to tweak their model, limiting the machines to a conversation humans could understand. (They want bots to stick to human languages because eventually they want those bots to be able to converse with human Facebook users.) …

Here’s what the language looks like (from LaFrance article),

Here’s an example of one of the bot negotiations that Facebook observed:Bob: i can i i everything else . . . . . . . . . . . . . .
Alice: balls have zero to me to me to me to me to me to me to me to me to
Bob: you i everything else . . . . . . . . . . . . . .
Alice: balls have a ball to me to me to me to me to me to me to me
Bob: i i can i i i everything else . . . . . . . . . . . . . .
Alice: balls have a ball to me to me to me to me to me to me to me
Bob: i . . . . . . . . . . . . . . . . . . .
Alice: balls have zero to me to me to me to me to me to me to me to me to
Bob: you i i i i i everything else . . . . . . . . . . . . . .
Alice: balls have 0 to me to me to me to me to me to me to me to me to
Bob: you i i i everything else . . . . . . . . . . . . . .
Alice: balls have zero to me to me to me to me to me to me to me to me to

It is incomprehensible to humans even after being tweaked, even so, some successful negotiations can ensue.

Facebook’s researchers aren’t the only one to come across the phenomenon (from LaFrance’s article; Note: Links have been removed),

Other AI researchers, too, say they’ve observed machines that can develop their own languages, including languages with a coherent structure, and defined vocabulary and syntax—though not always actual meaningful, by human standards.

In one preprint paper added earlier this year [2017] to the research repository arXiv, a pair of computer scientists from the non-profit AI research firm OpenAI wrote about how bots learned to communicate in an abstract language—and how those bots turned to non-verbal communication, the equivalent of human gesturing or pointing, when language communication was unavailable. (Bots don’t need to have corporeal form to engage in non-verbal communication; they just engage with what’s called a visual sensory modality.) Another recent preprint paper, from researchers at the Georgia Institute of Technology, Carnegie Mellon, and Virginia Tech, describes an experiment in which two bots invent their own communication protocol by discussing and assigning values to colors and shapes—in other words, the researchers write, they witnessed the “automatic emergence of grounded language and communication … no human supervision!”

The implications of this kind of work are dizzying. Not only are researchers beginning to see how bots could communicate with one another, they may be scratching the surface of how syntax and compositional structure emerged among humans in the first place.

LaFrance’s article is well worth reading in its entirety especially since the speculation is focused on whether or not the chatbots’ creation is in fact language. There is no mention of consciousness and perhaps this is just a crazy idea but is it possible that these chatbots have consciousness? The question is particularly intriguing in light of some of philosopher David Chalmers’ work (see his 2014 TED talk in Vancouver, Canada: https://www.ted.com/talks/david_chalmers_how_do_you_explain_consciousness/transcript?language=en runs roughly 18 mins.); a text transcript is also featured. There’s a condensed version of Chalmers’ TED talk offered in a roughly 9 minute NPR (US National Public Radio) interview by Gus Raz. Here are some highlights from the text transcript,

So we’ve been hearing from brain scientists who are asking how a bunch of neurons and synaptic connections in the brain add up to us, to who we are. But it’s consciousness, the subjective experience of the mind, that allows us to ask the question in the first place. And where consciousness comes from – that is an entirely separate question.

DAVID CHALMERS: Well, I like to distinguish between the easy problems of consciousness and the hard problem.

RAZ: This is David Chalmers. He’s a philosopher who coined this term, the hard problem of consciousness.

CHALMERS: Well, the easy problems are ultimately a matter of explaining behavior – things we do. And I think brain science is great at problems like that. It can isolate a neural circuit and show how it enables you to see a red object, to respondent and say, that’s red. But the hard problem of consciousness is subjective experience. Why, when all that happens in this circuit, does it feel like something? How does a bunch of – 86 billion neurons interacting inside the brain, coming together – how does that produce the subjective experience of a mind and of the world?

RAZ: Here’s how David Chalmers begins his TED Talk.

(SOUNDBITE OF TED TALK)

CHALMERS: Right now, you have a movie playing inside your head. It has 3-D vision and surround sound for what you’re seeing and hearing right now. Your movie has smell and taste and touch. It has a sense of your body, pain, hunger, orgasms. It has emotions, anger and happiness. It has memories, like scenes from your childhood, playing before you. This movie is your stream of consciousness. If we weren’t conscious, nothing in our lives would have meaning or value. But at the same time, it’s the most mysterious phenomenon in the universe. Why are we conscious?

RAZ: Why is consciousness more than just the sum of the brain’s parts?

CHALMERS: Well, the question is, you know, what is the brain? It’s this giant complex computer, a bunch of interacting parts with great complexity. What does all that explain? That explains objective mechanism. Consciousness is subjective by its nature. It’s a matter of subjective experience. And it seems that we can imagine all of that stuff going on in the brain without consciousness. And the question is, where is the consciousness from there? It’s like, if someone could do that, they’d get a Nobel Prize, you know?

RAZ: Right.

CHALMERS: So here’s the mapping from this circuit to this state of consciousness. But underneath that is always going be the question, why and how does the brain give you consciousness in the first place?

(SOUNDBITE OF TED TALK)

CHALMERS: Right now, nobody knows the answers to those questions. So we may need one or two ideas that initially seem crazy before we can come to grips with consciousness, scientifically. The first crazy idea is that consciousness is fundamental. Physicists sometimes take some aspects of the universe as fundamental building blocks – space and time and mass – and you build up the world from there. Well, I think that’s the situation we’re in. If you can’t explain consciousness in terms of the existing fundamentals – space, time – the natural thing to do is to postulate consciousness itself as something fundamental – a fundamental building block of nature. The second crazy idea is that consciousness might be universal. This view is sometimes called panpsychism – pan, for all – psych, for mind. Every system is conscious. Not just humans, dogs, mice, flies, but even microbes. Even a photon has some degree of consciousness. The idea is not that photons are intelligent or thinking. You know, it’s not that a photon is wracked with angst because it’s thinking, oh, I’m always buzzing around near the speed of light. I never get to slow down and smell the roses. No, not like that. But the thought is, maybe photons might have some element of raw subjective feeling, some primitive precursor to consciousness.

RAZ: So this is a pretty big idea – right? – like, that not just flies, but microbes or photons all have consciousness. And I mean we, like, as humans, we want to believe that our consciousness is what makes us special, right – like, different from anything else.

CHALMERS: Well, I would say yes and no. I’d say the fact of consciousness does not make us special. But maybe we’ve a special type of consciousness ’cause you know, consciousness is not on and off. It comes in all these rich and amazing varieties. There’s vision. There’s hearing. There’s thinking. There’s emotion and so on. So our consciousness is far richer, I think, than the consciousness, say, of a mouse or a fly. But if you want to look for what makes us distinct, don’t look for just our being conscious, look for the kind of consciousness we have. …

Intriguing, non?

Vancouver premiere of Baba Brinkman’s Rap Guide to Consciousness

Baba Brinkman, former Vancouverite and current denizen of New York City, is back in town offering a new performance at the Rio Theatre (1680 E. Broadway, near Commercial Drive). From a July 5, 2017 Rio Theatre event page and ticket portal,

Baba Brinkman’s Rap Guide to Consciousness

Wednesday, July 5 [2017] at 6:30pm PDT

Baba Brinkman’s new hip-hop theatre show “Rap Guide to Consciousness” is all about the neuroscience of consciousness. See it in Vancouver at the Rio Theatre before it goes to the Edinburgh Fringe Festival in August [2017].

This event also features a performance of “Off the Top” with Dr. Heather Berlin (cognitive neuroscientist, TV host, and Baba’s wife), which is also going to Edinburgh.

Wednesday, July 5
Doors 6:00 pm | Show 6:30 pm

Advance tickets $12 | $15 at the door

*All ages welcome!
*Sorry, Groupons and passes not accepted for this event.

“Utterly unique… both brilliantly entertaining and hugely informative” ★ ★ ★ ★ ★ – Broadway Baby

“An education, inspiring, and wonderfully entertaining show from beginning to end” ★ ★ ★ ★ ★ – Mumble Comedy

There’s quite the poster for this rap guide performance,

In addition to  the Vancouver and Edinburgh performance (the show was premiered at the Brighton Fringe Festival in May 2017; see Simon Topping’s very brief review in this May 10, 2017 posting on the reviewshub.com), Brinkman is raising money (goal is $12,000US; he has raised a little over $3,000 with approximately one month before the deadline) to produce a CD. Here’s more from the Rap Guide to Consciousness campaign page on Indiegogo,

Brinkman has been working with neuroscientists, Dr. Anil Seth (professor and co-director of Sackler Centre for Consciousness Science) and Dr. Heather Berlin (Brinkman’s wife as noted earlier; see her Wikipedia entry or her website).

There’s a bit more information about the rap project and Anil Seth in a May 3, 2017 news item by James Hakner for the University of Sussex,

The research frontiers of consciousness science find an unusual outlet in an exciting new Rap Guide to Consciousness, premiering at this year’s Brighton Fringe Festival.

Professor Anil Seth, Co-Director of the Sackler Centre for Consciousness Science at the University of Sussex, has teamed up with New York-based ‘peer-reviewed rapper’ Baba Brinkman, to explore the latest findings from the neuroscience and cognitive psychology of subjective experience.

What is it like to be a baby? We might have to take LSD to find out. What is it like to be an octopus? Imagine most of your brain was actually built into your fingertips. What is it like to be a rapper kicking some of the world’s most complex lyrics for amused fringe audiences? Surreal.

In this new production, Baba brings his signature mix of rap comedy storytelling to the how and why behind your thoughts and perceptions. Mixing cutting-edge research with lyrical performance and projected visuals, Baba takes you through the twists and turns of the only organ it’s better to donate than receive: the human brain. Discover how the various subsystems of your brain come together to create your own rich experience of the world, including the sights and sounds of a scientifically peer-reviewed rapper dropping knowledge.

The result is a truly mind-blowing multimedia hip-hop theatre performance – the perfect meta-medium through which to communicate the dazzling science of consciousness.

Baba comments: “This topic is endlessly fascinating because it underlies everything we do pretty much all the time, which is probably why it remains one of the toughest ideas to get your head around. The first challenge with this show is just to get people to accept the (scientifically uncontroversial) idea that their brains and minds are actually the same thing viewed from different angles. But that’s just the starting point, after that the details get truly amazing.”

Baba Brinkman is a Canadian rap artist and award-winning playwright, best known for his “Rap Guide” series of plays and albums. Baba has toured the world and enjoyed successful runs at the Edinburgh Fringe Festival and off-Broadway in New York. The Rap Guide to Religion was nominated for a 2015 Drama Desk Award for “Unique Theatrical Experience” and The Rap Guide to Evolution (“Astonishing and brilliant” NY Times), won a Scotsman Fringe First Award and a Drama Desk Award nomination for “Outstanding Solo Performance”. The Rap Guide to Climate Chaos premiered in Edinburgh in 2015, followed by a six-month off-Broadway run in 2016.

Baba is also a pioneer in the genre of “lit-hop” or literary hip-hop, known for his adaptations of The Canterbury Tales, Beowulf, and Gilgamesh. He is a recent recipient of the National Center for Science Education’s “Friend of Darwin Award” for his efforts to improve the public understanding of evolutionary biology.

Anil Seth is an internationally renowned researcher into the biological basis of consciousness, with more than 100 (peer-reviewed!) academic journal papers on the subject. Alongside science he is equally committed to innovative public communication. A Wellcome Trust Engagement Fellow (from 2016) and the 2017 British Science Association President (Psychology), Professor Seth has co-conceived and consulted on many science-art projects including drama (Donmar Warehouse), dance (Siobhan Davies dance company), and the visual arts (with artist Lindsay Seers). He has also given popular public talks on consciousness at the Royal Institution (Friday Discourse) and at the main TED conference in Vancouver. He is a regular presence in print and on the radio and is the recipient of awards including the BBC Audio Award for Best Single Drama (for ‘The Sky is Wider’) and the Royal Society Young People’s Book Prize (for EyeBenders). This is his first venture into rap.

Professor Seth said: “There is nothing more familiar, and at the same time more mysterious than consciousness, but research is finally starting to shed light on this most central aspect of human existence. Modern neuroscience can be incredibly arcane and complex, posing challenges to us as public communicators.

“It’s been a real pleasure and privilege to work with Baba on this project over the last year. I never thought I’d get involved with a rap artist – but hearing Baba perform his ‘peer reviewed’ breakdowns of other scientific topics I realized here was an opportunity not to be missed.”

Interestingly, Seth has another Canadian connection; he’s a Senior Fellow of the Azrieli Program in Brain, Mind & Consciousness at the Canadian Institute for Advanced Research (CIFAR; Wikipedia entry). By the way, the institute  was promised $93.7M in the 2017 Canadian federal government budget for the establishment of a Pan-Canadian Artificial Intelligence Strategy (see my March 24, 2017 posting; scroll down about 25% of the way and look for the highlighted dollar amount). You can find out more about the Azrieli programme here and about CIFAR on its website.

The Hard Problem (a Tom Stoppard play)

Brinkman isn’t the only performance-based artist to be querying the concept of consciousness, Tom Stoppard has written a play about consciousness titled ‘The Hard Problem’, which debuted at the National Theatre (UK) in January 2015 (see BBC [British Broadcasting Corporation] news online’s Jan. 29, 2015 roundup of reviews). A May 25, 2017 commentary by Andrew Brown for the Guardian offers some insight into the play and the issues (Note: Links have been removed),

There is a lovely exchange in Tom Stoppard’s play about consciousness, The Hard Problem, when an atheist has been sneering at his girlfriend for praying. It is, he says, an utterly meaningless activity. Right, she says, then do one thing for me: pray! I can’t do that, he replies. It would betray all I believe in.

So prayer can have meanings, and enormously important ones, even for people who are certain that it doesn’t have the meaning it is meant to have. In that sense, your really convinced atheist is much more religious than someone who goes along with all the prayers just because that’s what everyone does, without for a moment supposing the action means anything more than asking about the weather.

The Hard Problem of the play’s title is a phrase coined by the Australian philosopher David Chalmers to describe the way in which consciousness arises from a physical world. What makes it hard is that we don’t understand it. What makes it a problem is slightly different. It isn’t the fact of consciousness, but our representations of consciousness, that give rise to most of the difficulties. We don’t know how to fit the first-person perspective into the third-person world that science describes and explores. But this isn’t because they don’t fit: it’s because we don’t understand how they fit. For some people, this becomes a question of consuming interest.

There are also a couple of video of Tom Stoppard, the playwright, discussing his play with various interested parties, the first being the director at the National Theatre who tackled the debut run, Nicolas Hytner: https://www.youtube.com/watch?v=s7J8rWu6HJg (it runs approximately 40 mins.). Then, there’s the chat Stoppard has with previously mentioned philosopher, David Chalmers: https://www.youtube.com/watch?v=4BPY2c_CiwA (this runs approximately 1 hr. 32 mins.).

I gather ‘consciousness’ is a hot topic these days and, in the venacular of the 1960s, I guess you could describe all of this as ‘expanding our consciousness’. Have a nice weekend!

Emerging technology and the law

I have three news bits about legal issues that are arising as a consequence of emerging technologies.

Deep neural networks, art, and copyright

Caption: The rise of automated art opens new creative avenues, coupled with new problems for copyright protection. Credit: Provided by: Alexander Mordvintsev, Christopher Olah and Mike Tyka

Presumably this artwork is a demonstration of automated art although they never really do explain how in the news item/news release. An April 26, 2017 news item on ScienceDaily announces research into copyright and the latest in using neural networks to create art,

In 1968, sociologist Jean Baudrillard wrote on automatism that “contained within it is the dream of a dominated world […] that serves an inert and dreamy humanity.”

With the growing popularity of Deep Neural Networks (DNN’s), this dream is fast becoming a reality.

Dr. Jean-Marc Deltorn, researcher at the Centre d’études internationales de la propriété intellectuelle in Strasbourg, argues that we must remain a responsive and responsible force in this process of automation — not inert dominators. As he demonstrates in a recent Frontiers in Digital Humanities paper, the dream of automation demands a careful study of the legal problems linked to copyright.

An April 26, 2017 Frontiers (publishing) news release on EurekAlert, which originated the news item, describes the research in more detail,

For more than half a century, artists have looked to computational processes as a way of expanding their vision. DNN’s are the culmination of this cross-pollination: by learning to identify a complex number of patterns, they can generate new creations.

These systems are made up of complex algorithms modeled on the transmission of signals between neurons in the brain.

DNN creations rely in equal measure on human inputs and the non-human algorithmic networks that process them.

Inputs are fed into the system, which is layered. Each layer provides an opportunity for a more refined knowledge of the inputs (shape, color, lines). Neural networks compare actual outputs to expected ones, and correct the predictive error through repetition and optimization. They train their own pattern recognition, thereby optimizing their learning curve and producing increasingly accurate outputs.

The deeper the layers are, the higher the level of abstraction. The highest layers are able to identify the contents of a given input with reasonable accuracy, after extended periods of training.

Creation thus becomes increasingly automated through what Deltorn calls “the arcane traceries of deep architecture”. The results are sufficiently abstracted from their sources to produce original creations that have been exhibited in galleries, sold at auction and performed at concerts.

The originality of DNN’s is a combined product of technological automation on one hand, human inputs and decisions on the other.

DNN’s are gaining popularity. Various platforms (such as DeepDream) now allow internet users to generate their very own new creations . This popularization of the automation process calls for a comprehensive legal framework that ensures a creator’s economic and moral rights with regards to his work – copyright protection.

Form, originality and attribution are the three requirements for copyright. And while DNN creations satisfy the first of these three, the claim to originality and attribution will depend largely on a given country legislation and on the traceability of the human creator.

Legislation usually sets a low threshold to originality. As DNN creations could in theory be able to create an endless number of riffs on source materials, the uncurbed creation of original works could inflate the existing number of copyright protections.

Additionally, a small number of national copyright laws confers attribution to what UK legislation defines loosely as “the person by whom the arrangements necessary for the creation of the work are undertaken.” In the case of DNN’s, this could mean anybody from the programmer to the user of a DNN interface.

Combined with an overly supple take on originality, this view on attribution would further increase the number of copyrightable works.

The risk, in both cases, is that artists will be less willing to publish their own works, for fear of infringement of DNN copyright protections.

In order to promote creativity – one seminal aim of copyright protection – the issue must be limited to creations that manifest a personal voice “and not just the electric glint of a computational engine,” to quote Deltorn. A delicate act of discernment.

DNN’s promise new avenues of creative expression for artists – with potential caveats. Copyright protection – a “catalyst to creativity” – must be contained. Many of us gently bask in the glow of an increasingly automated form of technology. But if we want to safeguard the ineffable quality that defines much art, it might be a good idea to hone in more closely on the differences between the electric and the creative spark.

This research is and be will part of a broader Frontiers Research Topic collection of articles on Deep Learning and Digital Humanities.

Here’s a link to and a citation for the paper,

Deep Creations: Intellectual Property and the Automata by Jean-Marc Deltorn. Front. Digit. Humanit., 01 February 2017 | https://doi.org/10.3389/fdigh.2017.00003

This paper is open access.

Conference on governance of emerging technologies

I received an April 17, 2017 notice via email about this upcoming conference. Here’s more from the Fifth Annual Conference on Governance of Emerging Technologies: Law, Policy and Ethics webpage,

The Fifth Annual Conference on Governance of Emerging Technologies:

Law, Policy and Ethics held at the new

Beus Center for Law & Society in Phoenix, AZ

May 17-19, 2017!

Call for Abstracts – Now Closed

The conference will consist of plenary and session presentations and discussions on regulatory, governance, legal, policy, social and ethical aspects of emerging technologies, including (but not limited to) nanotechnology, synthetic biology, gene editing, biotechnology, genomics, personalized medicine, human enhancement technologies, telecommunications, information technologies, surveillance technologies, geoengineering, neuroscience, artificial intelligence, and robotics. The conference is premised on the belief that there is much to be learned and shared from and across the governance experience and proposals for these various emerging technologies.

Keynote Speakers:

Gillian HadfieldRichard L. and Antoinette Schamoi Kirtland Professor of Law and Professor of Economics USC [University of Southern California] Gould School of Law

Shobita Parthasarathy, Associate Professor of Public Policy and Women’s Studies, Director, Science, Technology, and Public Policy Program University of Michigan

Stuart Russell, Professor at [University of California] Berkeley, is a computer scientist known for his contributions to artificial intelligence

Craig Shank, Vice President for Corporate Standards Group in Microsoft’s Corporate, External and Legal Affairs (CELA)

Plenary Panels:

Innovation – Responsible and/or Permissionless

Ellen-Marie Forsberg, Senior Researcher/Research Manager at Oslo and Akershus University College of Applied Sciences

Adam Thierer, Senior Research Fellow with the Technology Policy Program at the Mercatus Center at George Mason University

Wendell Wallach, Consultant, ethicist, and scholar at Yale University’s Interdisciplinary Center for Bioethics

 Gene Drives, Trade and International Regulations

Greg Kaebnick, Director, Editorial Department; Editor, Hastings Center Report; Research Scholar, Hastings Center

Jennifer Kuzma, Goodnight-North Carolina GlaxoSmithKline Foundation Distinguished Professor in Social Sciences in the School of Public and International Affairs (SPIA) and co-director of the Genetic Engineering and Society (GES) Center at North Carolina State University

Andrew Maynard, Senior Sustainability Scholar, Julie Ann Wrigley Global Institute of Sustainability Director, Risk Innovation Lab, School for the Future of Innovation in Society Professor, School for the Future of Innovation in Society, Arizona State University

Gary Marchant, Regents’ Professor of Law, Professor of Law Faculty Director and Faculty Fellow, Center for Law, Science & Innovation, Arizona State University

Marc Saner, Inaugural Director of the Institute for Science, Society and Policy, and Associate Professor, University of Ottawa Department of Geography

Big Data

Anupam Chander, Martin Luther King, Jr. Professor of Law and Director, California International Law Center, UC Davis School of Law

Pilar Ossorio, Professor of Law and Bioethics, University of Wisconsin, School of Law and School of Medicine and Public Health; Morgridge Institute for Research, Ethics Scholar-in-Residence

George Poste, Chief Scientist, Complex Adaptive Systems Initiative (CASI) (http://www.casi.asu.edu/), Regents’ Professor and Del E. Webb Chair in Health Innovation, Arizona State University

Emily Shuckburgh, climate scientist and deputy head of the Polar Oceans Team at the British Antarctic Survey, University of Cambridge

 Responsible Development of AI

Spring Berman, Ira A. Fulton Schools of Engineering, Arizona State University

John Havens, The IEEE [Institute of Electrical and Electronics Engineers] Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems

Subbarao Kambhampati, Senior Sustainability Scientist, Julie Ann Wrigley Global Institute of Sustainability, Professor, School of Computing, Informatics and Decision Systems Engineering, Ira A. Fulton Schools of Engineering, Arizona State University

Wendell Wallach, Consultant, Ethicist, and Scholar at Yale University’s Interdisciplinary Center for Bioethics

Existential and Catastrophic Ricks [sic]

Tony Barrett, Co-Founder and Director of Research of the Global Catastrophic Risk Institute

Haydn Belfield,  Academic Project Administrator, Centre for the Study of Existential Risk at the University of Cambridge

Margaret E. Kosal Associate Director, Sam Nunn School of International Affairs, Georgia Institute of Technology

Catherine Rhodes,  Academic Project Manager, Centre for the Study of Existential Risk at CSER, University of Cambridge

These were the panels that are of interest to me; there are others on the homepage.

Here’s some information from the Conference registration webpage,

Early Bird Registration – $50 off until May 1! Enter discount code: earlybirdGETs50

New: Group Discount – Register 2+ attendees together and receive an additional 20% off for all group members!

Click Here to Register!

Conference registration fees are as follows:

  • General (non-CLE) Registration: $150.00
  • CLE Registration: $350.00
  • *Current Student / ASU Law Alumni Registration: $50.00
  • ^Cybsersecurity sessions only (May 19): $100 CLE / $50 General / Free for students (registration info coming soon)

There you have it.

Neuro-techno future laws

I’m pretty sure this isn’t the first exploration of potential legal issues arising from research into neuroscience although it’s the first one I’ve stumbled across. From an April 25, 2017 news item on phys.org,

New human rights laws to prepare for advances in neurotechnology that put the ‘freedom of the mind’ at risk have been proposed today in the open access journal Life Sciences, Society and Policy.

The authors of the study suggest four new human rights laws could emerge in the near future to protect against exploitation and loss of privacy. The four laws are: the right to cognitive liberty, the right to mental privacy, the right to mental integrity and the right to psychological continuity.

An April 25, 2017 Biomed Central news release on EurekAlert, which originated the news item, describes the work in more detail,

Marcello Ienca, lead author and PhD student at the Institute for Biomedical Ethics at the University of Basel, said: “The mind is considered to be the last refuge of personal freedom and self-determination, but advances in neural engineering, brain imaging and neurotechnology put the freedom of the mind at risk. Our proposed laws would give people the right to refuse coercive and invasive neurotechnology, protect the privacy of data collected by neurotechnology, and protect the physical and psychological aspects of the mind from damage by the misuse of neurotechnology.”

Advances in neurotechnology, such as sophisticated brain imaging and the development of brain-computer interfaces, have led to these technologies moving away from a clinical setting and into the consumer domain. While these advances may be beneficial for individuals and society, there is a risk that the technology could be misused and create unprecedented threats to personal freedom.

Professor Roberto Andorno, co-author of the research, explained: “Brain imaging technology has already reached a point where there is discussion over its legitimacy in criminal court, for example as a tool for assessing criminal responsibility or even the risk of reoffending. Consumer companies are using brain imaging for ‘neuromarketing’, to understand consumer behaviour and elicit desired responses from customers. There are also tools such as ‘brain decoders’ which can turn brain imaging data into images, text or sound. All of these could pose a threat to personal freedom which we sought to address with the development of four new human rights laws.”

The authors explain that as neurotechnology improves and becomes commonplace, there is a risk that the technology could be hacked, allowing a third-party to ‘eavesdrop’ on someone’s mind. In the future, a brain-computer interface used to control consumer technology could put the user at risk of physical and psychological damage caused by a third-party attack on the technology. There are also ethical and legal concerns over the protection of data generated by these devices that need to be considered.

International human rights laws make no specific mention to neuroscience, although advances in biomedicine have become intertwined with laws, such as those concerning human genetic data. Similar to the historical trajectory of the genetic revolution, the authors state that the on-going neurorevolution will force a reconceptualization of human rights laws and even the creation of new ones.

Marcello Ienca added: “Science-fiction can teach us a lot about the potential threat of technology. Neurotechnology featured in famous stories has in some cases already become a reality, while others are inching ever closer, or exist as military and commercial prototypes. We need to be prepared to deal with the impact these technologies will have on our personal freedom.”

Here’s a link to and a citation for the paper,

Towards new human rights in the age of neuroscience and neurotechnology by Marcello Ienca and Roberto Andorno. Life Sciences, Society and Policy201713:5 DOI: 10.1186/s40504-017-0050-1 Published: 26 April 2017

©  The Author(s). 2017

This paper is open access.

The memristor as the ‘missing link’ in bioelectronic medicine?

The last time I featured memrisors and a neuronal network it was in an April 22, 2016 posting about Russian research in that field. This latest work comes from the UK’s University of Southampton. From a Sept. 27, 2016 news item on phys.org,

New research, led by the University of Southampton, has demonstrated that a nanoscale device, called a memristor, could be the ‘missing link’ in the development of implants that use electrical signals from the brain to help treat medical conditions.

Monitoring neuronal cell activity is fundamental to neuroscience and the development of neuroprosthetics – biomedically engineered devices that are driven by neural activity. However, a persistent problem is the device being able to process the neural data in real-time, which imposes restrictive requirements on bandwidth, energy and computation capacity.

In a new study, published in Nature Communications, the researchers showed that memristors could provide real-time processing of neuronal signals (spiking events) leading to efficient data compression and the potential to develop more precise and affordable neuroprosthetics and bioelectronic medicines.

A Sept. 27, 2016 University of Southampton press release, which originated the news item, expands on the theme,

Memristors are electrical components that limit or regulate the flow of electrical current in a circuit and can remember the amount of charge that was flowing through it and retain the data, even when the power is turned off.

Lead author Isha Gupta, Postgraduate Research Student at the University of Southampton, said: “Our work can significantly contribute towards further enhancing the understanding of neuroscience, developing neuroprosthetics and bio-electronic medicines by building tools essential for interpreting the big data in a more effective way.”

The research team developed a nanoscale Memristive Integrating Sensor (MIS) into which they fed a series of voltage-time samples, which replicated neuronal electrical activity.

Acting like synapses in the brain, the metal-oxide MIS was able to encode and compress (up to 200 times) neuronal spiking activity recorded by multi-electrode arrays. Besides addressing the bandwidth constraints, this approach was also very power efficient – the power needed per recording channel was up to 100 times less when compared to current best practice.

Co-author Dr Themis Prodromakis, Reader in Nanoelectronics and EPSRC Fellow in Electronics and Computer Science at the University of Southampton said: “We are thrilled that we succeeded in demonstrating that these emerging nanoscale devices, despite being rather simple in architecture, possess ultra-rich dynamics that can be harnessed beyond the obvious memory applications to address the fundamental constraints in bandwidth and power that currently prohibit scaling neural interfaces beyond 1,000 recording channels.”

The Prodromakis Group at the University of Southampton is acknowledged as world-leading in this field, collaborating among others with Leon Chua (a Diamond Jubilee Visiting Academic at the University of Southampton), who theoretically predicted the existence of memristors in 1971.

Here’s a link to and a citation for the paper,

Real-time encoding and compression of neuronal spikes by metal-oxide memristors by Isha Gupta, Alexantrou Serb, Ali Khiat, Ralf Zeitler, Stefano Vassanelli, & Themistoklis Prodromakis. Nature Communications 7, Article number: 12805 doi:10.1038/ncomms12805 Published  26 September 2016

This is an open access paper.

For anyone who’s interested in better understanding memristors, there’s an interview with Forrest H Bennett III in my April 7, 2010 posting and you can always check Wikipedia.

Curiosity Collider (Vancouver, Canada) presents Neural Constellations: Exploring Connectivity

I think of Curiosity Collider as an informal art/science  presenter but I gather the organizers’ ambitions are more grand. From the Curiosity Collider’s About Us page,

Curiosity Collider provides an inclusive community [emphasis mine] hub for curious innovators from any discipline. Our non-profit foundation, based in Vancouver, Canada, fosters participatory partnerships between science & technology, art & culture, business communities, and educational foundations to inspire new ways to experience science. The Collider’s growing community supports and promotes the daily relevance of science with our events and projects. Curiosity Collider is a catalyst for collaborations that seed and grow engaging science communication projects.

Be inspired by the curiosity of others. Our Curiosity Collider events cross disciplinary lines to promote creative inspiration. Meet scientists, visual and performing artists, culinary perfectionists, passionate educators, and entrepreneurs who share a curiosity for science.

Help us create curiosity for science. Spark curiosity in others with your own ideas and projects. Get in touch with us and use our curiosity events to showcase how your work creates innovative new ways to experience science.

I wish they hadn’t described themselves as an “inclusive community.” This often means exactly the opposite.

Take for example the website. The background is in black, the heads are white, and the text is grey. This is a website for people under the age of 40. If you want to be inclusive, you make your website legible for everyone.

That said, there’s an upcoming Curiosity Collider event which looks promising (from a July 20, 2016 email notice),

Neural Constellations: Exploring Connectivity

An Evening of Art, Science and Performance under the Dome

“We are made of star stuff,” Carl Sagan once said. From constellations to our nervous system, from stars to our neurons. We’re colliding neuroscience and astronomy with performance art, sound, dance, and animation for one amazing evening under the planetarium dome. Together, let’s explore similar patterns at the macro (astronomy) and micro (neurobiology) scale by taking a tour through both outer and inner space.

This show is curated by Curiosity Collider’s Creative Director Char Hoyt, along with Special Guest Curator Naila Kuhlmann, and developed in collaboration with the MacMillan Space Centre. There will also be an Art-Science silent auction to raise funding for future Curiosity Collider activities.

Participating performers include:

The July 20, 2016 notice also provides information about date, time, location, and cost,

When
7:30pm on Thursday, August 18th 2016. Join us for drinks and snacks when doors open at 6:30pm.

Where
H. R. MacMillan Space Centre (1100 Chestnut Street, Vancouver, BC)

Cost
$20.00 sliding scale. Proceeds will be used to cover the cost of running this event, and to fund future Curiosity Collider events. Curiosity Collider is a registered BC non-profit organization. Purchase tickets on our Eventbrite page.

Head to the Facebook event page: Let us know you are coming and share this event with others! We will also share event updates and performer profiles on the Facebook page.

There is a pretty poster,

CuriostiytCollider_AugEvent_NeuralConstellations

[downloaded from http://www.curiositycollider.org/events/]

Enjoy!

US White House’s grand computing challenge could mean a boost for research into artificial intelligence and brains

An Oct. 20, 2015 posting by Lynn Bergeson on Nanotechnology Now announces a US White House challenge incorporating nanotechnology, computing, and brain research (Note: A link has been removed),

On October 20, 2015, the White House announced a grand challenge to develop transformational computing capabilities by combining innovations in multiple scientific disciplines. See https://www.whitehouse.gov/blog/2015/10/15/nanotechnology-inspired-grand-challenge-future-computing The Office of Science and Technology Policy (OSTP) states that, after considering over 100 responses to its June 17, 2015, request for information, it “is excited to announce the following grand challenge that addresses three Administration priorities — the National Nanotechnology Initiative, the National Strategic Computing Initiative (NSCI), and the BRAIN initiative.” The grand challenge is to “[c]reate a new type of computer that can proactively interpret and learn from data, solve unfamiliar problems using what it has learned, and operate with the energy efficiency of the human brain.”

Here’s where the Oct. 20, 2015 posting, which originated the news item, by Lloyd Whitman, Randy Bryant, and Tom Kalil for the US White House blog gets interesting,

 While it continues to be a national priority to advance conventional digital computing—which has been the engine of the information technology revolution—current technology falls far short of the human brain in terms of both the brain’s sensing and problem-solving abilities and its low power consumption. Many experts predict that fundamental physical limitations will prevent transistor technology from ever matching these twin characteristics. We are therefore challenging the nanotechnology and computer science communities to look beyond the decades-old approach to computing based on the Von Neumann architecture as implemented with transistor-based processors, and chart a new path that will continue the rapid pace of innovation beyond the next decade.

There are growing problems facing the Nation that the new computing capabilities envisioned in this challenge might address, from delivering individualized treatments for disease, to allowing advanced robots to work safely alongside people, to proactively identifying and blocking cyber intrusions. To meet this challenge, major breakthroughs are needed not only in the basic devices that store and process information and the amount of energy they require, but in the way a computer analyzes images, sounds, and patterns; interprets and learns from data; and identifies and solves problems. [emphases mine]

Many of these breakthroughs will require new kinds of nanoscale devices and materials integrated into three-dimensional systems and may take a decade or more to achieve. These nanotechnology innovations will have to be developed in close coordination with new computer architectures, and will likely be informed by our growing understanding of the brain—a remarkable, fault-tolerant system that consumes less power than an incandescent light bulb.

Recent progress in developing novel, low-power methods of sensing and computation—including neuromorphic, magneto-electronic, and analog systems—combined with dramatic advances in neuroscience and cognitive sciences, lead us to believe that this ambitious challenge is now within our reach. …

This is the first time I’ve come across anything that publicly links the BRAIN initiative to computing, artificial intelligence, and artificial brains. (For my own sake, I make an arbitrary distinction between algorithms [artificial intelligence] and devices that simulate neural plasticity [artificial brains].)The emphasis in the past has always been on new strategies for dealing with Parkinson’s and other neurological diseases and conditions.

Brain-friendly interface to replace neural prosthetics one day?

This research will not find itself occupying anyone’s brain for some time to come but it is interesting to find out that neural prosthetics have some drawbacks and there is work being done to address them. From an Aug. 10, 2015 news item on Azonano,

Instead of using neural prosthetic devices–which suffer from immune-system rejection and are believed to fail due to a material and mechanical mismatch–a multi-institutional team, including Lohitash Karumbaiah of the University of Georgia’s Regenerative Bioscience Center, has developed a brain-friendly extracellular matrix environment of neuronal cells that contain very little foreign material. These by-design electrodes are shielded by a covering that the brain recognizes as part of its own composition.

An Aug. 5, 2015 University of Georgia news release, which originated the news item, describes the new approach and technique in more detail,

Although once believed to be devoid of immune cells and therefore of immune responses, the brain is now recognized to have its own immune system that protects it against foreign invaders.

“This is not by any means the device that you’re going to implant into a patient,” said Karumbaiah, an assistant professor of animal and dairy science in the UGA College of Agricultural and Environmental Sciences. “This is proof of concept that extracellular matrix can be used to ensheathe a functioning electrode without the use of any other foreign or synthetic materials.”

Implantable neural prosthetic devices in the brain have been around for almost two decades, helping people living with limb loss and spinal cord injury become more independent. However, not only do neural prosthetic devices suffer from immune-system rejection, but most are believed to eventually fail because of a mismatch between the soft brain tissue and the rigid devices.

The collaboration, led by Wen Shen and Mark Allen of the University of Pennsylvania, found that the extracellular matrix derived electrodes adapted to the mechanical properties of brain tissue and were capable of acquiring neural recordings from the brain cortex.

“Neural interface technology is literally mind boggling, considering that one might someday control a prosthetic limb with one’s own thoughts,” Karumbaiah said.

The study’s joint collaborators were Ravi Bellamkonda, who conceived the new approach and is chair of the Wallace H. Coulter Department of Biomedical Engineering at the Georgia Institute of Technology and Emory University, as well as Allen, who at the time was director of the Institute for Electronics and Nanotechnology.

“Hopefully, once we converge upon the nanofabrication techniques that would enable these to be clinically translational, this same methodology could then be applied in getting these extracellular matrix derived electrodes to be the next wave of brain implants,” Karumbaiah said.

Currently, one out of every 190 Americans is living with limb loss, according to the National Institutes of Health. There is a significant burden in cost of care and quality of life for people suffering from this disability.

The research team is one part of many in the prosthesis industry, which includes those who design the robotics for the artificial limbs, others who make the neural prosthetic devices and developers who design the software that decodes the neural signal.

“What neural prosthetic devices do is communicate seamlessly to an external prosthesis,” Karumbaiah said, “providing independence of function without having to have a person or a facility dedicated to their care.”

Karumbaiah hopes further collaboration will allow them to make positive changes in the industry, saying that, “it’s the researcher-to-industry kind of conversation that now needs to take place, where companies need to come in and ask: ‘What have you learned? How are the devices deficient, and how can we make them better?'”

Here’s a link to and a citation for the paper,

Extracellular matrix-based intracortical microelectrodes: Toward a microfabricated neural interface based on natural materials by Wen Shen, Lohitash Karumbaiah, Xi Liu, Tarun Saxena, Shuodan Chen, Radhika Patkar, Ravi V. Bellamkonda, & Mark G. Allen. Microsystems & Nanoengineering 1, Article number: 15010 (2015) doi:10.1038/micronano.2015.10

This appears to be an open access paper.

One final note, I have written frequently about prosthetics and neural prosthetics, which you can find by using either of those terms and/or human enhancement. Here’s my latest piece, a March 25, 2015 posting.

Science and music festivals such as Latitude 2015 and some Guerilla Science

Science has been gaining prominence at music festivals in Britain if nowhere else. I wrote about the Glastonbury Festival’s foray into science in a July 12, 2011 posting which featured the Guerilla Science group tent and mentioned other of the festival’s science and technology efforts over the years. More recently, I noticed that Stephen Hawking was scheduled for the 2015 Glastonbury Festival (he had to cancel due to personal reasons).

The 2015 Latitude Festival seems to have more luck with its science-themed events. according to a July 22, 2015 posting by Suzi Gage for the Guardian’s science blogs,

Why do people go to music festivals? When I was 18 years old and heading to Reading festival the answer was very much ‘to listen to Pulp and Beck in a field while drinking overpriced beer and definitely not trying to sneak a hip flask on to the site’. But I’ve grown up since then, and so, it seems, have festivals.

At Latitude this weekend, I probably only watched a handful of bands. Not to say that the musical lineup wasn’t great, but there was so much more on offer that caught my attention. The Wellcome Trust funded a large number of talks, interactive sessions and demos that appeared both in their ‘hub’, a tiny tent on the outskirts of the festival, but also in the Literary Tent at the heart of the festival and at other locations across the site.

The programming of the science content was imaginative, often pairing a scientist with an author who had written on a similar topic. This was effective in that it allowed a discussion, but kept it from becoming too technical or full of jargon.

Dr Robin Carhart-Harris, an expert in psychedelics, was paired with Zoe Cormier, author of ‘Sex Drugs and Rock and Roll’ in the Literary Tent, to discuss the use of psychedelics as ‘medicine for the soul’. [emphasis mine] Robin was very measured in his description of the trials he has been involved with at Imperial College London, being clear that while preliminary findings about psilocybin in treatment-resistant depression might be exciting, there’s a long way to go in such research. Talking about drugs at a festival is always going to be a crowd pleaser, but both Robin and Zoe never sensationalized.

A highlight for me was a session organised by The Psychologist magazine, featuring Professor Sarah-Jayne Blakemore and Fiona Neil, author of The Good Girl. Entitled ‘Being Young Never Gets Old’, it claimed to ‘debunk’ teenagers. …

Gage’s piece is a good read and I find it interesting she makes no comment about a literary tent at a music festival. I don’t know of a music festival in Canada that would feature literature or literature and science together.

Guerilla Science

I highlighted Zoe Cormier’s name as a participant (born in Canada and living in London, England) as she is a founder of Guerilla Science, the group I mentioned earlier with regard to the Glastonbury Festival. A science communicator with some fairly outrageous events under her belt, her and her co-founder’s ‘guerilla’ approach to science is exciting. I mentioned their annual Secret Garden event in a Aug. 1, 2012 posting where they sang and danced the Higgs Boson and otherwise celebrated elementary particles. The 2015 Secret Garden Party featured rest, noise, and neuroscience. (Perhaps it’s not too early to plan attendance at the 2016 Secret Garden Party?) Here’s an excerpt from this year’s lineup found in Louis’ July 15, 2015 posting on the Guerilla Science website,

Friday [July 24, 2015]

….

12:00 – Rest & Noise Shorts

Crash, bang, shush, zzz… four short talks about rest and noise from artist Zach Walker, psychologist Will Lawn and neuroscientists Ed Bracey and Melissa Ellamil.

13.00 Speed, Synapse… Go!

Two teams go head-to-head in a competition to see whose neurotransmitters can move the fastest. What happens when cocaine, marijuana and ketamine are introduced? Join us for some fast and furious neuroscientific gameplay.

15.00 Craft a Connectome

Help us transform the Guerilla Science tent into a giant model brain with a tangle of woolen connections. Neuroscientists Julia Huntenburg and Melissa Ellamil will be on hand to conduct our connectome and coax it into a resting state.

16.00 Sound, Fire and Water

We test out our new toy: a fire organ that visualises sound in flames! Join engineers from Buro Happold and artist Zach Walker as we make fire, water and cornstarch dance and jump to the beat.

Saturday [July 25, 2015]

11.00 Hearing the Voice

Philosopher Sam Wilkinson explores the idea of the brain as a hypothesis testing machine. He asks whether thinking about the mind in this way can help explain mental illness, hallucinations and the voices in our heads.

15.00 – The Unquiet Mind

Hallucinations are our contact with the unreal but are also a window into human nature. Neuroscientist and clinical psychologist Vaughan Bell reveals what they tell us about brain function and the limits of human experience.

Sunday [July 26, 2015]

12.00 Phantom Terrains

Frank Swain and Daniel Jones present their project to listen in to wireless networks. By streaming wi-fi signals to a pair of hearing aids, Frank can hear the changing landscapes of data that silently surround us.

13.00 Rest and Nose

Join chemists Rose Gray and Alex Bour and neuroscientist Ed Bracey to explore the links between relaxation, rest and sense of smell. Create a perfume to lull yourself to sleep, help you unwind and evoke a peaceful place or time.

..

For anyone interested in Guerilla Science, this is their website. They do organize events year round.

Brain data (neuroscience) crowdsourced at Toronto’s (Canada) 2013 Nuit Blanche event

The brain data was crowdsourced in 2013 in Toronto but only recently published according to a July 8, 2015 Baycrest Centre for Geriatric Care news release (also on EurekAlert),

Neuroscientists in Toronto have shown that crowdsourcing brain data with hundreds of adults in a short period of time could be a new frontier in neuroscience and lead to new insights about the brain.

More than 500 adults aged 18 and older participated in the experiment at the 2013 Scotiabank Nuit Blanche arts event in Toronto. Baycrest, in partnership with the University of Toronto and industry partners, created a large-scale art-science installation called My Virtual Dream. Festival-goers were invited to wear a Muse™ wireless electroencephalography (EEG) headband and participate in a brief collective neurofeedback experience in groups of 20 inside a 60-foot geodesic dome. The group’s collective EEG signals triggered a specific catalogue of artistic imagery displayed on the dome’s 360-degree interior, along with spontaneous musical interpretation by live musicians on stage.

The installation was one of the most popular at Nuit Blanche, with an average lineup wait time of two hours.

Studying brains in a social and multi-sensory environment is closer to real life and may help scientists to approach questions of complex real-life social cognition that otherwise are not accessible in traditional labs that study one person’s cognitive functions at a time.

“In traditional lab settings, the environment is so controlled that you can lose some of the fine points of real-time brain activity that occur in a social life setting,” said Dr. Kovacevic, creative producer of My Virtual Dream and program manager of the Centre for Integrative Brain Dynamics at Baycrest’s Rotman Research Institute.

“What we’ve done is taken the lab to the public. We collaborated with multi-media artists, made this experiment incredibly engaging, attracted highly motivated subjects which is not easy to do in the traditional lab setting, and collected useful scientific data from their experience.”

Results from the experiment not only demonstrated the scientific viability of collective neurofeedback as a potential new avenue of neuroscience research that takes into account individuality, complexity and sociability of the human mind, but yielded new evidence that neurofeedback learning can have an effect on the brain almost immediately.

Neurofeedback learning supports mindful awareness and joins a growing market for wearable biofeedback devices. The device used in this study, Muse™, is a clinical-grade EEG brain computer interface (BCI) headband that helps individuals to be more aware of their brain states (relaxed versus focused versus distracted) and learn self-regulation of brain function to fit their personal goals.

A total of 523 adults (209 males, 314 females), ranging in age from 18 to 89, with an average age of 31, contributed their EEG brain data for the study. Each session involved 20 participants being seated in a semicircle in front of a stage and divided into four groups (“pods”) of five. They played a collective neurofeedback computer game where they were required to manipulate their mental states of relaxation and concentration. The neurofeedback training lasted 6.5 minutes, which is much shorter than typical neurofeedback training experiments.

The massive amount of EEG data collected in one night yielded an interesting and statistically relevant finding – that subtle brain activity changes were taking place within approximately one minute of the neurofeedback learning exercise – unprecedented speed of learning changes that have not been demonstrated before.

“These results really open up a whole new domain of neuroscience study that actively engages the public to advance our understanding of the brain,” said Dr. Randy McIntosh, director of the Rotman Research Institute and vice-president of Research at Baycrest. He is a senior author on the paper.

The idea for the Nuit Blanche art -science experiment was inspired by Baycrest’s ongoing international project to build the world’s first functional, virtual brain – a research and diagnostic tool that could one day revolutionize brain healthcare.

Baycrest cognitive neuroscientists collaborated with artists and gaming and wearable technology industry partners for over a year to create the My Virtual Dream installation. Partners included the University of Toronto, Scotiabank Nuit Blanche, Muse™ and Uken Games.

Here’s a link to and a citation for the paper,

‘My Virtual Dream’: Collective Neurofeedback in an Immersive Art Environment by Natasha Kovacevic, Petra Ritter, William Tays, Sylvain Moreno, and Anthony Randal McIntosh. DOI: 10.1371/journal.pone.0130129 PLOS Published: July 8, 2015

This is an open access paper.

A few final words, I last wrote about MUSE (a Canadian technology company) in a March 6, 2015 posting. Uken Games , also a Canadian company, is new to this blog.

Gray Matters volume 2: Integrative Approaches for Neuroscience, Ethics, and Society issued March 2015 by US Presidential Bioethics Commission

The second and final volume in the Grey Matters  set (from the US Presidential Commission for the Study of Bioethical Issues produced in response to a request from President Barack Obama regarding the BRAIN (Brain Research through Advancing Innovative Neurotechnologies) initiative) has just been released.

The formal title of the latest volume is Gray Matters: Topics at the Intersection of Neuroscience, Ethics, and Society, volume two. The first was titled: Gray Matters: Integrative Approaches for Neuroscience, Ethics, and Society, volume one.)

According to volume 2 of the report’s executive summary,

… In its first volume on neuroscience and ethics, Gray Matters: Integrative Approaches for Neuroscience, Ethics, and Society, the Bioethics Commission emphasized the importance of integrating ethics and neuroscience throughout the research endeavor.1 This second volume, Gray Matters: Topics at the Intersection of Neuroscience, Ethics, and Society, takes an in-depth look at three topics at the intersection of neuroscience and society that have captured the public’s attention.

The Bioethics Commission found widespread agreement that contemporary neuroscience holds great promise for relieving human suffering from a number of devastating neurological disorders. Less agreement exists on multiple other topics, and the Bioethics Commission focused on three cauldrons of controversy—cognitive enhancement, consent capacity, and neuroscienceand the legal system. These topics illustrate the ethical tensions and societal implications of advancing neuroscience and technology, and bring into heightened relief many important ethical considerations.

A March 26, 2015 post by David Bruggeman on his Pasco Phronesis blog further describes the 168 pp. second volume of the report,

There are fourteen main recommendations in the report:

Prioritize Existing Strategies to Maintain and Improve Neural Health

Continue to examine and develop existing tools and techniques for brain health

Prioritize Treatment of Neurological Disorders

As with the previous recommendation, it would be valuable to focus on existing means of addressing neurological disorders and working to improve them.

Study Novel Neural Modifiers to Augment or Enhance Neural Function

Existing research in this area is limited and inconclusive.

Ensure Equitable Access to Novel Neural Modifiers to Augment or Enhance Neural Function

Access to cognitive enhancements will need to be handled carefully to avoid exacerbating societal inequities (think the stratified societies of the film Elysium or the Star Trek episode “The Cloud Minders“).

Create Guidance About the Use of Neural Modifiers

Professional societies and expert groups need to develop guidance for health care providers that receive requests for prescriptions for cognitive enhancements (something like an off-label use of attention deficit drugs, beta blockers or other medicines to boost cognition rather than address perceived deficits).

If you don’t have time to look at the 2nd volume, David’s post covers many of the important points.