Category Archives: Neuroscience

Neuroscience study finds amygdala activity is related to bullying behaviors in adolescents – PsyPost

Teens who bully their peers tend to display a different pattern of brain activity in response to certain facial expressions, according to new research published in Social Cognitive and Affective Neuroscience. The findings shed light on the neurological underpinnings of bullying behaviors and could help lead to new interventions to combat bullying.

Bullying is fairly common during adolescence, with about 25-50% of teenagers in the U.S. reporting that they have bullied or been a victim of bullying, said study author Johnna R. Swartz, an assistant professor at the University of California, Davis.

We also know that being a bully or victim of bullying is associated with poor mental health. I was interested in examining how measures of brain function relate to bullying or being a victim of bullying so we could better understand which factors may contribute to higher likelihood of these outcomes.

Swartz and her colleagues were particularly interested in a brain region known as the amygdala, which plays a key role in emotional processing and responding to threats.

The researchers used functional magnetic resonance imaging to examine amygdala activity in 49 adolescents as they completed an emotional face matching task.

They found that adolescents who reported engaging in more relational bullying behaviors (such as purposefully excluding a peer or spreading rumors) tended to display higher amygdala activity in response to angry faces and lower amygdala activity in response to fearful faces.

Higher amygdala activity to angry faces could suggest that these teens are more sensitive to signals of anger from other people, while lower amygdala activity to fearful faces could suggest that their brains are less responsive to signals of distress, which could lead to lower empathy when bullying victims, Swartz told PsyPost.

The higher amygdala activity to angry faces could also lead teens to perceive more hostility in their social interactions, whereas the lower amygdala activity to fearful faces could lead to lower empathy, and this combination seems to be associated with more bullying behavior. These results can help us to understand what may make some teens more likely to bully their peers.

The researchers also found that lower amygdala activity in response to angry faces and lower amygdala activity in response to fearful faces were both associated with lower levels of victimization.

But the study like all research includes some limitations.

A major caveat of this study is that the design was cross-sectional, meaning that amygdala activity and the measures of bullying behavior were collected at the same point in time. This means it is unclear whether these patterns of brain activity may have led to increased likelihood of bullying, or whether being a bully leads to these changes in brain activity, Swartz said.

Future research could use longitudinal designs with measures across several occasions to test whether these patterns of brain activity predict bullying behavior, or whether engaging in more bullying behavior predicts changes in these patterns of brain activity over time.

If longitudinal research confirms that these patterns of brain activity predict increases in bullying behavior over time, results from this study could have implications for new ways to reduce bullying behavior in the future, Swartz explained.

For example, the finding that higher amygdala activity to angry faces predicts more bullying behavior suggests that training teens attention away from angry faces or teaching teens to interpret ambiguous facial expressions in less hostile ways could be potential methods for reducing bullying.

The more we understand about how patterns of brain activity and the way we process social cues relates to bullying and victimization, the better we will be able to intervene to reduce bullying and victimization in teens, Swartz added.

The study, Amygdala activity to angry and fearful faces relates to bullying and victimization in adolescents, was authored by Johnna R. Swartz, Angelica F. Carranza, and Annchen R. Knodt.

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Neuroscience study finds amygdala activity is related to bullying behaviors in adolescents - PsyPost

Extension of neuroscience-focused collaboration – SelectScience

Initial twelve-month collaboration successfully identifies hit compounds and progresses into hit-to-lead optimization phase

Metrion Biosciences Limited, the specialist ion channel CRO and drug discovery company, and LifeArc, a leading UK independent medical research charity, today announced an extension of their neuroscience-focused ion channel drug discovery collaboration, following the success of the initial twelve-month agreement.

The collaboration is focused on novel selective small molecular modulators of a specific two-pore domain potassium ion channel target, identified as likely to be involved in neurological pathogenesis. Having commenced in January 2019, both companies have exercised the option to extend the program for a further 12 months following the achievement of mutually agreed criteria. As a result of successes during the initial phase, where potent and efficacious hit compounds have been identified through a robust screening cascade (using a fluorescence assay, automated electrophysiology and manual patch clamp technique), the collaboration has now progressed into the hit-to-lead optimization phase.

Under the terms of the agreement LifeArc is responsible for all new chemical syntheses, with Metrion providing ion channel screening expertise. Metrion will continue to support target optimization using the companys extensive experience of developing validated screening assays for use against specific neuronal ion channels, or in a range of translational phenotypic disease-relevant assays, to thoroughly explore mechanism of action.

Dr Edward Stevens, Head of Drug Discovery, Metrion Biosciences, said: The extension of this collaboration is testament to the achievements of the combined team to date, and to our long-standing successful relationship with LifeArc. We are excited to be moving forward for an additional twelve months and progress the project to further advance research in this important field of neuroscience.

Dr Justin Bryans, Executive Director, Drug Discovery, LifeArc, commented: We are dedicated to supporting promising research that could have transformative benefits for patients. The success to date of this novel small molecule program with Metrion is very motivating, especially as this lies in one of our three priority therapy areas. We have a strong track record with Metrion, and we look forward to the next twelve months collaboration.

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Extension of neuroscience-focused collaboration - SelectScience

Cutting Through the Headlines: Are Scientists Really Growing Sentient "Mini-brains"? – Technology Networks

Neuroscience 2019, the worlds biggest conference of brain science, finished just over a month ago. In the wake of some particularly inflammatory headlines, we take a closer look at whether claims that new model systems for studying the brain could produce sentience in a jar have any truth to them.

It must be a matter of some regret to researchers that, when they were first created a few years ago, the temptation to call the three-dimensional balls of neural tissue mini-brains proved too strong to resist.

At the Society for Neurosciences 2019 conference, the catchy, headline magnet term mini-brain had very much been taken out of the lexicon. In a press conference that we attended, the gathered scientific panel had obviously been encouraged to stick to a new term: brain organoid. More abstract than mini-brain, and certainly less likely to feature on a tabloid front cover.

As a session introducing the latest advances in organoid research drew to a close, the rebrand appeared to have worked. There had been no questions about Futurama-style talking heads in jars, or questions of existential cellular dread. So far. But by the end of the session, a dispute rose which highlighted some real doubts among researchers in the field, indicating that the topic of consciousness, let alone consciousness in a jar, was far from settled. But before we get to that, lets take a look at the science behind brain organoids.

The previous days plenary had gone very smoothly. A truly excellent talk by Harvard Stem Cell Institute (HSCI)s Paola Arlotta had shown the care and detail that had gone into organoid science.

Arlotta began her talk by outlining why researchers might consider making three-dimensional neuro-balls (my submission for what brain organoids should really be called) in the first place. Studying the brain is really hard. Its complexity is unrivaled by any other organ in the body and humans tend to object if you try and remove their brain to get a closer look.

As such, biomedical researchers have mainly focused on one of two approaches when attempting to model the incredible intricacy of the brain:

Clearly, neither route is perfect, and teams like Arlottas have been seeking a new model that could potentially take the best of both worlds and put them in one system. Brain organoids were meant to be that model. A lot of work has gone into enabling the creation of such a system, including huge steps in our tools for studying brain development. This requires handling data from more than just one cell type, as Arlotta explained in her lecture:

There are no individual subtypes that develop in isolation. They all develop together and it's really an orchestrated dance of many different cell types being generated. This is the complexity that we have always wanted to provide all at once. All cells, all genes, all stages, except we have never had the technology and methodology that would allow us to do that.

Forget a "brain in a jar". This image shows what pea-size brain organoids at 10 months old actually look like, grown in the Muotri lab at UCSD. Credit: Muotri Lab/UCTV

This changed a few years ago, when we invented amazing single-cell level genomics approaches that now allow us to sequence thousands, to hundreds of thousands, to millions of cells from any tissue any stage of any organism. Arlotta continues. This innovation, alongside computational methods, has permitted researchers to take a widescreen view of brain development.

For Arlottas team, capturing this global picture meant a lot of meticulous work: Basically, we set off to purify and refine, at a single cell level, every single cell of the developing somatosensory cortex, which we sampled every day in the mouse until about P1 [postnatal day 1] when the majority of the cells had been generated. The result: beautiful, detailed plots of the gene expression underlining the development of this region of the mouse brain.

With this information, a blueprint for how a brain organoid should develop, Arlottas team could then go on to create organoids.

The simplicity of this process is something that made even Arlotta do a double take at first. I was skeptical for many years, but then Yoshiki Sasai published what I think is a seminal experiment. Basically, what was shown is that if you take a 3D cluster of embryonic stem cells and you culture them in a dish, without adding much from the outside, these cells have the ability to self-organize and undergo self-morphogenesis to give rise to an optic-cup like structure. This cup has retinal and other cells of the mature eye, responds to light, and even forms morphological layers like an eye does. Sasais work, alongside that of Madeline Lancaster, formed the blueprint for future organoid work. It was published just seven years ago. This is a field advancing at a breakneck speed.

As such, its a field of great interest to the press and general public. To answer questions on her research, Arlotta joined UCSFs Arnold Kriegstein and Michael Nestor from the Hussman Institute for Autism for the next days panel discussion.

The main points from the panel were as follows:

The latter point, addressed by Kriegstein, seems pivotal to the future of this field. He presented results from single-cell RNA-seq (a technique that analyzes genetic material in base-by-base detail) scans of organoids and human brain tissue. The cell types are broadly similar to the ones you find in normally developing tissue, but the problem is that our genetic analysis is showing that they lack specificity, as though their identify is a bit confused, explained Kriegstein.

Images of brain tissue contrasted with organoids clearly show the reduced complexity of the model brains, with fewer cell types and a different developmental timeline. Kriegstein showed that the organoid cells are under a type of cellular stress that seems to limit their ability to mimic normal cells (although when the cells were transplanted into a mouse brain, creating a human-mouse chimera, the stress seemed to reduce). This is both an issue for the organoids potential as a model for brain disease, and for any claims that they might in any way become sentient in any human way.

Arlottas data had suggested that organoids were able to be kept in bioreactors, alive for up to four years. Could the simplified organoids simply not be old enough yet? This is not an adult brain that you make. Its not even a complete younger brain, its very primitive and reductive. There is a limit to what you can do in culture; they only grow to a certain size and they only make certain cells, said Arlotta.

This is a cross-section of a brain organoid, showing the initial formation of a cortical plate. Each color marks a different type of brain cell. Credit:Muotri Lab/UCTV

This point didnt come from a member of the press, but from another researcher. This was Elan Ohayon, co-founder of the San Diego-based Green Neuroscience Laboratory (GNL), who had been quoted in The Guardian in the days before SfN, singing from a very different hymnsheet from the panel. In that article, Ohayon had said, "If there's even a possibility of the organoid being sentient, we could be crossing that line. We don't want people doing research where there is potential for something to suffer." The GNL is also opposed to any captive animal experimentation. In the press event Ohayon professed at length, to a stony-faced response from the panel, why he believed they were underestimating the risk of an ethically dubious outcome from their research.

Ohayon finished by asking whether the researchers felt that the field should be put on hold until more was known about consciousness in the organoids. Nestor, in response, highlighted the lack of cytoarchitecture present to support the conditions needed for sentience, but he was cut off by a sharp retort from Ohayon. Thats incorrect. Actually thats my specialty, he began, before a stressed SfN staffer attempted to get him to sit down. Moving away from the microphone, Ohayon concluded, Its great that you are moving towards human-based research, the real concern is also this move towards chimera without thinking about sentience. You are underestimating where you are going, and its going to get there fast.

To say the least, Ohayons views seem quite at odds with that of the panel (the Green Neuroscience Laboratory did not immediately respond to request for comment for this interview). But, as with much in science, there is perhaps a truth to be found in between these two divergent positions.

Talking later to UC San Diego Professor Alysson Muotri, who has used brain organoids in his lab for years, we began to find evidence of where that midpoint might stand. He explains that he led a panel discussion on ethics in brain organoids, which you can watch below. The panel consisted of experts in both neuroscience and philosophy. Disagreements began with the basic definition of what consciousness is. Christof Koch, Chief Scientist and President of the Allen Brain Institute suggests that the cortex alone could be sufficient for consciousness, whilst Patricia Churchland, and Emerita Professor at UC San Diego suggested that other regions, like a brain stem or thalamus would be required. Other panel members, Muotri told me, argued that: You need a body, a brain connected to a body, otherwise there will be no consciousness coming from the tissue. How can we have a debate about creating a conscious being in a jar, if we dont really know what consciousness is in the first place?

What Muotri does suggest, in place of a halt to research, is a better effort to conduct studies in a more ethical way, similar to how scientists aim to conduct animal research. We don't treat animals badly just because they're for research. We try to give them a good lifestyle. So for the organoids it might be exactly the same thing. We just have to agree on how we should do it. I mean, what are the conditions that we need to keep them alive? How do we discard them? How many of them we should use to answer specific scientific questions? So these are the kinds of debate that we can start right now. But I just think it would be unfair to stop science.

So the potential of organoids, or brains-in-a-dish, or mini-brains, or whatever you want to call them, may be undeniable, but so is the potential of science to go faster than it intends. What scary headlines dont reflect is that scientists are well aware of both these things.

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Cutting Through the Headlines: Are Scientists Really Growing Sentient "Mini-brains"? - Technology Networks

George Mashour, MD, Ph.D. Appointed as Chair of UM Department of Anesthesiology – University of Michigan Health System News

ANN ARBOR, Mich. Today, the U-M Board of Regents approved the appointments of George A. Mashour, M.D., Ph.D. as chair of the Department of Anesthesiology and the Robert B. Sweet Professor of Anesthesiology, effective December 1.

Dr. Mashour, formerly the Bert N. La Du Professor of Anesthesiology Research, has served the Medical School as associate dean for clinical and translational research and director of the Michigan Institute for Clinical and Health Research (MICHR) since 2015. He has also held the roles of associate chair for research in the Department of Anesthesiology since 2014, director of the Center for Consciousness Science since 2014, and executive director of translational research for U-Ms central Office of Research since 2016. Of these roles, he will relinquish all except for MICHR director, which he will continue to serve until a successor is named.

He received his medical degree and doctorate in neuroscience from Georgetown University, and studied neuroscience as a Fulbright Scholar in Berlin and Bonn. He completed his internship, residency, and chief residency at the Harvard Medical School and Massachusetts General Hospital. He was a fellow in neurosurgical anesthesiology at the U-M, and in 2007 was appointed assistant professor in the departments of Anesthesiology and Neurosurgery, with an additional faculty appointment in the Neuroscience Graduate Program. He was promoted to tenured associate professor in 2013, named the La Du Professor in 2014, and promoted to professor in 2017.

Dr. Mashour is an internationally recognized expert on the neurobiology of consciousness and general anesthesia. He has authored more than 200 publications and been the lead editor of five textbooks on anesthesiology and neuroscience. He currently serves as the principal investigator of several major NIH grants in the field of neuroscience, academic anesthesiology and translational science. He also serves on the steering committee of the NIH Clinical Translational Science Awards program and as a member of the NIH Surgery, Anesthesiology, and Trauma study section.

He serves on the boards of the Association of University Anesthesiologists and the International Anesthesia Research Society. He has received numerous institutional awards as well as national honors that include the Presidential Scholar Award from the American Society of Anesthesiologists and election to the National Academy of Medicine.

Dr. Mashour succeeds Kevin Tremper, M.D., Ph.D., who served as chair of Anesthesiology since 1990.

Said Mashour, It is a privilege to serve in this role. The Department of Anesthesiology is deeply committed to exceptional patient care, the education of outstanding clinicians and scientists, and research that improves health. I look forward to working with team members across the department, Michigan Medicine, and the community to fulfill this important mission.

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George Mashour, MD, Ph.D. Appointed as Chair of UM Department of Anesthesiology - University of Michigan Health System News

Global Neuroscience Antibodies and Assays Market 2019 by Manufacturers, Countries, Type and Application, Forecast to 2025 – News Agree

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Where Will 1000 People Park? – New Haven Independent

Dwight neighbors revved up concerns about increased parking and traffic from Yale New Haven Hospitals planned new neuroscience center and renovated Saint Raphael Campus while a hospital spokesperson pointed out that the many new patients, doctors, staff, and visitors for the nearly $1 billion project will have to park somewhere.

Neighborhood historic preservationist Olivia Martson led the charge against the hospitals proposed parking plan Tuesday night during the regular monthly meeting of the Dwight Community Management Team in the Amistad Middle School gymnasium on Edgewood Avenue.

That parking plan is to support the prospective new $838 million neuroscience center and St. Raphael campus renovation that YNHH is looking to build out over the next five years on the blocks bounded by Chapel Street, Sherman Avenue, George Street, and Orchard Street.

In three 4-1 votes, commissioners voted to pass along a favorable report to the Board of Alders for a proposed amendment to the Medical Area Overall Parking Plan (MAOPP), a proposed amendment to the city ordinance text and maps that describe the St. Raphael campuss Planned Development District (PDD), and a proposed license agreement for the construction of a new pedestrian bridge over Orchard Street.

Holding up a 2008 map of New Haven speckled red and yellow with all of the citys existing surface and garage parking sites, Martson urged the roughly 20 neighbors who showed up Tuesday night to go to City Hall on Dec. 10.

Thats when the Board of Alders Legislation Committee will be holding public hearings on the neuroscience center parking plan.

She called on neighbors to testify about how the hospitals planned new parking garage at Chapel Street and Orchard Street and its planned expansion of the nearby Orchard Street Garage will affect Dwight and West River.

YNHH Senior Vice President Vin Petrini shared a design rendering of the proposed new garage with the Independent for this article (pictured above).

While hospital execs did not share this picture at last months City Plan Commission hearing, YNHH Senior Vice President Operations Michael Holmes did estimate that the new research center and medical facilities will increase the campuss current parking demand by roughly 1,000 spaces.

We dont want it to impact the neighborhood so much that no one will live here, added Martson. We have to come up with a plan so that our neighborhood grows in a responsible way. I dont want to see us become just a place where people drive in and drive out.

The hospital currently leases parking spaces at various city-owned surface lots in the area, he said. But several of the larger lots, including the former Coliseum site and the Sherman/Tyler lots, are likely to be scooped up by developers in the not-too-distant future.

He said YNHH already does a lot to encourage staff to use alternative forms of transportation. The hospital subsidizes bus passes and train tickets for its employees and runs a free shuttle service, including to park-and-ride pick-up spots in surrounding suburbs.

Were trying, he said.

But it still needs to provide some kind of parking, especially considering the scope of the project.

There will be no egress or ingress on Orchard Street for the new planned garage, he said, to reduce the car flow on that already congested block.

Martson, Walton, and several other neighbors Tuesday remained unconvinced.

The neighborhood already has large parking garages on Orchard Street and at the southwestern corner of George and Orchard, let alone the planned new 763-space garage for nearby Legion Avenue.

We only have one shot at this, she said, and thats gonna be it.

The hospital should instead consider investing in housing for the area, she said, and not in building new garages. I know that might be a real dream, she added, but its worth adding to the mix.

If the hospital doesnt build these new garages, asked neighbor Richard Crouse, where will these new cars go?

I dont have the answer, Martson admitted, but hopefully there is some alternative to just building more and more garages.

We need the science building, said management team Chair Florita Gillespie (pictured). And we need to live here, in a safe, healthy community. We dont want all this pollution. So what are we gonna do about it?

She didnt have an answer either Tuesday night. She also called on neighbors to go to City Hall on Dec. 10 and to keep working with the alders, the city, and the hospital to come up with the best solution for all parties.

Decades of disinvestment in the areas bus, rail, walking, and biking infrastructure is coming home to roost.

Air quality issues, primarily caused by fossil fuel use, are killing thousands of people in Connecticut, part of the tens of millions of people being killed by air pollution worldwide.

Remember when the Board of Alders declined the money that President Obama gave to New Haven for a new combined streetcar-bus system, that would have created a trunk line to major employers, streamlined connection points, and allowed the regions bus system to take a great leap forward?

That combined with very modest increases to parking costs would have solved this issue. President Obamas streetcar-bus system grant was instead used for a project that will have marginal impact.

Going forward, maybe Yale would be willing to chip in the $50,000,000 that Elicker has requested if it could be earmarked to transportation? Or maybe the state would finally realize that its entire economy is dependent on the success of places like New Haven and Stamford, and be willing to chip in the funding for that instead of continuing to widen highways?

Until those things happen, adding major pedestrian, bus stop and bicycle improvements to the area would cost about $800,000. Even though they would represent about 0.1% the total cost of this new building project, they are somehow not on the table here.

Honestly, I feel that the new neuroscience center should provide new shuttle buses to connect people from every existing garage in the area to the campus of where the new center will be. It may be a good to connect people back YNHHs main campus as well.

I really dont see the need to add a new garage if theres already going to be one thats built on the old route 34 connector right next door to whats eventually going to be a new hotel.

I definitely agree that instead of building more garages there should be more housing. Too much parking opportunities usually bring more cars and more cars only adds more congestion. Which is certainly not good for the air quality. More housing is so much better than having more parking. Especially in an urban setting where you have plenty of options besides driving due to being other modes of transportation.

Only a scant two and a half blocks away from the hospital are the existing Frontage road lots. Take a quick look at a google map of the area. Most of those spaces are empty. Two or three blocks is not a difficult walk. Doesnt the Medical/Health establishment admonish us all to incorporate more exercise into our daily routines? Or is this how the hospital drums up more business? But if you really are that lazy, an electric shuttle bus service would not be very expensive. The CT Bus Co. has already made plans to put clean air electric busses in to service. Less parking spaces mean less cars. More parking spaces mean more cars. If you build it they will come.

Logic tells me that not building it would lead to the worse neighborhood street parking nightmare ever seen. Of course the city could benefit from increased parking fine collections for blocked driveways, fire hydrants, and pedestrian crosswalks.

One option that could be in everyones interest is for YNHH to expand its transportation demand management program. As the article notes, YNHH already subsidizes bus passes and takes other steps to reduce the number of employees driving to work alone. If YNHH sweetened these incentives, presumably more employees would take advantage of them. This could reduce the need for additional parking. Building garage spaces is wicked expensive, and reducing demand for garage spaces could be in YNHHs self interest, as well as being in the interests of the neighborhood.

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Where Will 1000 People Park? - New Haven Independent

Mice with autism mutation may be indifferent to social scents – Spectrum

Distinct stink: Mice missing a key autism gene respond similarly to nonsocial and social smells.tiripero / iStock

Neurons in mice that lack an autism gene called CNTNAP2 do not differentiate well between social and nonsocial smells, according to a new study1. These neurons are located in the prefrontal cortex a brain region that controls social behavior and fire haphazardly.

The findings suggest that these differences drive the social problems in the mice and perhaps in autistic people with mutations in the gene. The results appeared 25 November in Nature Neuroscience.

The work is some of the first to explore the way neurons in the prefrontal cortex recognize and decipher, or encode, social information.

We know from many studies that the prefrontal cortex is somehow important for social interactions, says lead author Ofer Yizhar, professor of neuroscience at the Weizmann Institute of Science in Rehovot, Israel. But we actually know very little about how social information is encoded.

In people, mutations in CNTNAP2 are linked to autism and language impairments, as well as to altered brain connectivity.

According to one leading theory, autism arises from an imbalance between excitatory and inhibitory activity in the brain. Mice missing CNTNAP2 show such an imbalance, although it is unclear whether the imbalance contributes to their autism-like traits.

One possibility is that the signaling imbalance prevents neurons from firing synchronously in response to social cues, Yizhar says.

The study is the first to directly link this sort of noisy brain activity in autism mice to problems with their social behavior, says Dan Feldman, professor of neurobiology at the University of California, Berkeley, who was not involved in the work. That could be quite important if this turns out to be common across different forms of autism, he says.

Yizhars team recorded the electrical activity of neurons in the prefrontal cortex of male mice, using an electrode array. The array uses filaments embedded in the mouses brain to monitor up to 30 neurons at once.

A cable connects the head-mounted array to a recording system, allowing the mice to roam freely in a chamber into which the researchers piped one of five scents: social odors from unfamiliar male or female mice; peanut butter oil, which mice find attractive; banana oil, which mice are indifferent to; and a chemical called hexanal, which mice dislike.

The researchers exposed mice to these odors for several days. They then recorded the activity in the mices prefrontal cortex while exposing the animals to each smell one by one.

Twice as many prefrontal neurons in control mice respond to the social odors as to the nonsocial ones, the researchers found. These neurons also fire more frequently than those in control mice do, and in distinct patterns for social versus nonsocial smells.

[This] indicates that the prefrontal cortex is somehow differently classifying [odors] based on this property, says Yizhar.

Other brain regions that respond to smell, such as the olfactory cortex, do not show a preference for social odors, according to previous studies suggesting that the prefrontal cortex plays a unique role in interpreting smells.

The prefrontal cortex integrates multiple levels of information from converging brain regions in order to encode not the odor itself, but its social value, Yizhar says.

The researchers then recorded the mices neuronal activity as the animals experienced the five odors for the first time and again two to five days later.

As before, control mice distinguish social and nonsocial smells and they do this even better at later time points, suggesting that experience helps them refine their response to smells.

In the mutant mice, however, neurons in the prefrontal cortex respond similarly to social and nonsocial odors. They also failed to show any kind of refinement with experience, Yizhar says. They pretty much stayed the same.

And yet the mice have no trouble detecting the smells.

What they found is really interesting, says Audrey Brumback, assistant professor of neurology at the University of Texas at Austin, who was not involved in the work. The animals can still register smells in the same way, but the way that they are encoding social smells is fundamentally different.

Even in the absence of smells, neurons in the prefrontal cortex of the mutant mice fire more often than those in controls, and that the pattern of firing is less coordinated. The noisier the firing, the worse the neurons are at categorizing smells. The mices response to odors show this trend almost perfectly, Yizhar says. Its really striking.

He and his colleagues plan to see whether these findings hold in other mouse models of autism. They are also testing whether boosting or silencing the activity of neurons in the prefrontal cortex affects how this brain area processes social smells.

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Mice with autism mutation may be indifferent to social scents - Spectrum

Why computational neuroscience and AI will converge – JAXenter

The limitations of neural networks

Today neural networks dominate the landscape of AI and AIOps, but Ive said many times that this is unsustainable. Neural networks have peaked in their ability to deliver effective and meaningful results. The science has issues with basic intractability, mismatch and inherent latency. Even though there is a lot of investment in neural networks, its bearing on AIOps and the real-time business community is limited. Which brings me on to computational neuroscience, which I believe will benefit AI enormously.

As I gaze into the future in terms of how AI is likely to evolve, I expect there to be a lot of crossover with computational neuroscience. Whats happening at the moment with neural networks is an early attempt to cross fertilize with AI, but this is failing and will continue to do so.

Its an attempt to take the complex and poorly understood behaviours of the human brain and associated nervous system and develop both mathematical and algorithmic models to try to understand their behaviour. You can compare computational neuroscience to economics or climate science. In all of these cases you have an immensely complex system with visible, but poorly understood, contours. We hope we can learn something about these systems to make high level predictions, which is achieved by building computational models that are either straight algorithms or a set of mathematical equations to try and get some insight into these large complex systems. This approach is entirely different from other scientific endeavours such as physics and chemistry, where you start with well defined behaviour and then try to build from the bottom up to understand, for example, why atoms behave the way they do, or how molecules or cells interact. Think of computational neuroscience, economics, and climate science as top down sciences, as opposed to classical bottom up sciences. Generally, computational neuroscience will give you some indication as to how the brain and nervous system works.

When you look at it that way, one of the things that becomes very interesting is that AI and computational neuroscience have many similarities. However, there is a perception that there is a massive difference between the two disciplines, many perceive computational neuroscience as a bottom up science and see AI as an engineering project. That is wrong, both of them are top down sciences that are investigating very similar and heavily overlapping domains. Therefore, in the next five to ten years we are going to see more crossovers between the two disciplines.

Firstly, there will be an increasing focus on how AI algorithms interact with one another. I think in most academic research and industrial efforts there is a lot of emphasis on developing and working with individual algorithms, but there is very little attention given to how the collection of algorithms interact with one another from an architectural perspective. One of the reasons why is because we naturally think of intelligence as a space that co-exists and there is no interacting structure. The truth is that algorithms need to be carefully choreographed with one another. This is very evident in the field of AIOps and how the Moogsoft platform has evolved. We have different types of algorithms which function at different times and hand off their results to one another. The result is very similar to the architecture off the human brain as we understand it.

As AI is deployed more systematically across more systems, the need to choreograph the interactions between the different algorithms will become more pressing. There is a vast body of knowledge which already exists on how, for example, visual systems interact with higher level conceptual categorization systems or how visual and auditory systems interact with one another. Therefore, it would be natural to look at the architecture of the brain as a starting point to design an optimal architecture for the interaction of various AI algorithms.

SEE ALSO:Data recovery: What matters when disaster hits

Secondly, AI research and industrial deployments has always focussed on centralized AI algorithms. In general, there is a drive to pull data in from various parts of the environment and take it to a single place where the AI algorithm is applied to it. I think increasingly there will be a focus on distributing algorithms geographically.

If you look at the way cognitive processes are enacted in the brain, and especially in the nervous system, it is evident it can become a model for how intelligence can be modularized and distributed not only conceptually but physically across a system. I think the way in which models are being developed on the computational neuroscience side to reflect distribution of intelligence will end up being a body of teachings for AI. To be fair, even in the field of computational neuroscience there has been insufficient focus on the need to modularize and distribute algorithmsbut its definitely coming.

Thirdly, as industry becomes more and more interested in robotics (the application of AI to automation) there will be an increased focus on how intelligence and AI algorithms interact with physical world processes. So, as robotics moves from being theoretical to a genuine industrial endeavour, the models that have been built to understand how the brain interacts with the nervous system and the external world will play an increasing role in the advancement of AI.

SEE ALSO:How to implement chatbots in an industrial context

Lastly, when we talk about machine learning or neural networks the focus is very much on the learning that takes place within an individual algorithm. It is not focused on how an entire system of algorithms evolves. As AI begins to recognize the importance of architecture and the choreography of algorithms; as it becomes more focused on distributed intelligence; as it becomes more focused on interacting with the external world; then I think were going to develop systems whose entire cognitive apparatus evolves and learns with time.

Computational neuroscience has absorbed and modified work conducted around cognitive psychology which has been embraced by the neural science world. I think this research has a lot to teach AI around the cognitive architectures it seeks to deploy in the industrial world.

These are the four big developments which will occur over the next five to ten years. Lessens learnt and models built in the computational neuroscience world will enter the world of research and industrial AI. As AI becomes more involved in business process execution, it starts to behave more like the brain and nervous system and hence its not a surprise that the work that has been done in computational neuroscience is likely to impact AI in the years ahead.

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Why computational neuroscience and AI will converge - JAXenter

Promoting neuroscience in Europe with FENS – SciTech Europa

FENS currently represents 43 European national and single discipline neuroscience societies with more than 20,000 member scientists from 33 countries across Europe. FENS promotes neuroscience research to policy-makers, funding bodies and the general public, both regionally and internationally. Hence, FENS promotes excellence in neuroscience research and facilitates exchanges and networking between neuroscientists within the European Research Area and beyond. We spoke to FENS President, Professor Carmen Sandi, about some of the latest trends and challenges the neuroscience sector is currently facing.

Neuroscience is a very broad and vibrant discipline aimed at understanding how the brain works and which mechanisms underlie its different types of dysfunction, where new topics and techniques are constantly added. In recent years, the emergence of possibilities for large data collection and management, and advances in computational sciences, have transformed the way neuroscience is done today and how it relates to society.

I should mention the renewed emergence of Artificial Intelligence (AI), which at its base is a neuroscientific discipline, and how it relates to our day-to-day activities. Similarly, technological advances in imaging and molecular and genetic tools have transformed the way we, as scientists, can understand complex behaviours and dissect the pathways and causes underlying behaviour and cognition as well as the debilitating diseases of the nervous system. I am very hopeful that a decade from now, insights derived from todays investments in neuroscience research will form a new basis for providing early diagnosis, prevention and in some cases cures, for serious diseases that currently represent an unparalleled burden in Europe.

As the voice of neuroscience in Europe, FENS promotes collaboration, networking and career development for the neuroscience community at large, with a particular focus on European early-career scientists. FENS supports education and training by providing information, organising schools and training programmes, and offering grants. FENS facilitates the dissemination of scientific information through its journal, the European Journal of Neuroscience. It also encourages interactions between neuroscientists and related scientists within and outside Europe by holding scientific meetings such as the biannual neuroscience conference series The Brain Conferences and the biennial FENS Forum.

The FENS Forum of Neuroscience is FENS flagship event. It brings together more than 7,000 international neuroscientists every second year and fosters scientific exchange and interdisciplinary collaboration. It attracts scientists from academic, fundamental sciences to preclinical and pharma scientists who are working on translational understanding of the mechanisms underlying brain diseases. Facilitating the exchange between these diverse and international scientists is an important objective of the Forum, and for FENS more generally. The next Forum will take place in Glasgow on 11-15 July 2020.

The Neuroscience Schools are part of FENS broader higher education and training strategy, which offers a wide range of opportunities in continued education and career development. At the end of your university education or when you start as a postdoc, when dedicated training in your particular field of neuroscience is often limited, formalised training such as that offered by FENS is extremely important for the success of a young scientist today.

The FENS schools are run within an intimate setting by leading scientists around novel concepts and theories in neuroscience. This format facilitates both formal and informal exchanges and leads to a high degree of interaction between the students and the faculty. FENS offers a wide range of training opportunities. The Cajal Advanced Neuroscience Training Programme for instance, which is a new training concept in Europe, offers a series of three-week hands-on training courses on timely neuroscience topics. The Cajal programme, which has been developed by FENS and IBRO and is supported by the Gatsby Foundation, is a unique platform for dedicated hands-on training across most disciplines in modern neuroscience. Tied in with these training programmes, FENS has also developed a Network of European Neuroscience Schools that brings together most of the Universities and Centres that are offering graduate training in neuroscience. The network, which currently represents more than 180 programmes, was recently expanded to also include online courses and programmes. Through this network, FENS can act at the European level to coordinate and influence neuroscience education.

Our mission at FENS is to advance research and education in neuroscience and, within this context, to promote neuroscience research to policy-makers, funding bodies and the general public. Too often, the societal value of investing in fundamental research is underestimated. The challenge to FENS thus lies in demonstrating the importance of investing in knowledge-generating fundamental research and showing how it fuels applied research and innovation. Promoting interaction and coordination between neuroscientists throughout the value chain is probably our largest challenge within the scientific arena of today, as well as connecting European research with efforts outside of Europe. To that effect, FENS regularly organises meetings and events, where scientists can connect across research areas and from different ends of the value-generating research enterprise. The FENS Forum, for instance, is a great platform to showcase innovation: delegates can learn more about new technological developments and meet with their peers, from basic to translational science. We also conduct a series of outreach activities to promote the understanding of neuroscience among the general public and decision-makers as well as coordinating events and activities within the scope of the European Brain Council (EBC) to influence how brain related policies and priorities are defined.

In Europe alone, an estimated 179 million people live with brain disorders and the estimated cost of these disorders in Europe since January 2019 has exceeded 615bn. Brain health, and by extension, brain research, need to be identified as funding priorities by the European Union and across its Member States. Policymakers, at both national and European scales, need to ensure that research remains a priority in order to secure new ideas and development of new technologies.

FENS has developed an advocacy strategy that comprises three levels. At the national level, FENS engages with policy-makers through its national neuroscience member societies: they identify and act on the specific needs for neuroscience advocacy. Under the umbrella of the EBC, FENS, together with other member organisations, regularly interacts as an advisor to European institutions and provides expertise and recommendations. Speaking as one voice towards the European Institutions, the EBC stands as a unique platform to foster cooperation between its member organisations and other stakeholders. At the global level, FENS works with other leading organisations to raise public awareness and promote investment in and cohesion of neuroscience research. In this context, FENS provides support for advocacy and outreach programmes across the globe for the dissemination and support of brain research.

2020 is a Forum year! The 12th edition of the FENS Forum will take place on 11-15 July in Glasgow, UK. It has a high-quality and wide-ranging scientific programme, designed to showcase the frontlines of science, giving the floor to renowned speakers and the most up-to-date discoveries and innovation. The Forum is always a great platform to discuss science, regardless of career stage. On a slightly longer horizon, I believe that FENS will continue to play a vital role in coordinating knowledge exchange in Europe and globally. I am confident that the scientific community will continue to embrace the values that are provided by scientific societies in Europe as I truly believe FENS and similar organisations represent the best channels to support the delivery of tomorrows knowledge and cures.

Professor Carmen Sandi

President

Federation of European Neuroscience Societies

Tweet @FENSorg

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Promoting neuroscience in Europe with FENS - SciTech Europa

David Byrne is building a neuroscience-powered hall of mirrors somewhere in Denver – The Colorado Sun

Talking Heads frontman David Byrne has been interested in the intersection of art and science for years. When hes not debuting a Broadway show, launching an online magazine or creating a show about Joan of Arc or Imelda Marcos, hes exploring how neuroscience plays with our perceptions.

Theater of the Mind, to have its world premiere in Denver in August 2020, picks up on themes Byrne explored in a Silicon Valley art exhibit in 2016. That exhibit, The Institute Presents: NEUROSOCIETY, featured a series of interactive environments created in conjunction with PACE Arts + Technology in Menlo Park, California, that questioned human perception and bias.

The goal of Byrne and writer Mala Gaonkar for Theater of the Mind is to blend sensory experiments with theatrical entertainment in a seamless show.

Think of it as a carny hall of mirrors 2.0 with input from neuroscientists. An intimate audience of 16 people at a time will move through specially designed environments throughout 15,000 square feet within a warehouse. Sometimes wearing VR headsets. With a storyteller guide.

The immersive show will debut here, thanks to the Off-Center branch of the Denver Center for the Performing Arts, which has gained national attention for its exploits in immersive theater.

Charlie Miller, Off-Center curator, heard from a friend that the NEUROSOCIETY show was mind-blowing and last year approached Byrne about a collaboration. This is a world premiere of a project David has been developing for four to five years. There have been earlier workshop iterations and it continues to evolve with major script revisions.

Part of what is exciting about it for me as a producer, Miller said, is were still figuring out how the machine of it will run. Part of the reason were not sharing information about scheduling is that were still figuring out how frequently groups can move through. Its a very high-tech undertaking in terms of the technology in the experiments and in the technology thats used to run the show.

Due to the small size of each audience group, the nightly or weekly total wont be huge, Miller said, but enough to bring in revenue to make it economically feasible. Ticket sales only cover a portion of the overall cost. As a nonprofit, Off-Center relies on grants, SCFD funding and investment from DCPA as a whole. The balance is better than the one-on-ones we did last year (like Between Us), which were very heavily grant subsidized.

In the early version, NEUROSOCIETY viewers were led through several rooms. In one they saw their hand grow to giant size and observed themselves embodied in a dolls body. In another they saw moving objects freeze, and witnessed complete darkness and some single very bright flashes of light (not strobes). The installations and the script have changed substantially since then, Miller said.

The long-term hope is that Off-Centers name will be attached to this project when it is mounted in other cities, gaining further prominence. DCPA will be involved if it can go on to a life in other cities which we all hope it can. Our main focus is to get this thing off the ground in Denver. If we get it right, that will open doors for the future.

But Theater of the Mind will not be easy to transport elsewhere, given its specific requirements. There are close to a dozen different environments were building now that the audience moves through, a whole VR experience being custom built by a series of technology companies, it requires custom software. It will be a challenge to find space of a certain size that can accommodate it, Miller said.

He wont hint at the Denver location of the historic warehouse where the show will be produced. In size and scale, the installation will be similar to Sweet & Lucky, the inventive and engaging immersive show commissioned by Off-Center and created with New York-based Third Rail Projects in 2016. (The warehouse leased for that production, behind Mission Ballroom, is no longer available.)

The five to 10 experiments included in Theater of the Mind are meant to demonstrate how easily our minds can be tricked. The show engages all of the senses, including taste (expect a number of disclaimers and FAQs beforehand).

The team is passionate about being honest with the audience the magic is in the science, its not in theater magic, Miller said. Were not playing tricks on people. What happens in your brain is really the magic there. Its very true to science.

In fact, there is a position on the creative team director of technology helping the theater folks preserve the integrity of the science.

We always go back to whats going to make the science most effective. Thats the starting point. The purity of the science, Miller said.

Expect ancillary programs to include the local scientific community once the show is up and running.

Specifics on dates, times and tickets are not yet available but signing up on the shows website ensures those who are interested will hear more as information is released.

This reporting is made possible by our members. You can directly support independent watchdog journalism in Colorado for as little as $5 a month. Start here: coloradosun.com/join

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David Byrne is building a neuroscience-powered hall of mirrors somewhere in Denver - The Colorado Sun