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Scientists simulate the brain on a supercomputer

Creating a virtual brain may sound like a science-fiction nightmare, but for neuroscientists in Japan and at Seattle’s Allen Institute, it’s a big step toward a long-held dream.

They say their mouse-cortex simulation, run on one of the world’s fastest supercomputers, could eventually open the way to understanding the mechanisms behind maladies such as Alzheimer’s disease and epilepsy — and perhaps unraveling the mysteries of consciousness.

“This shows the door is open,” Allen Institute investigator Anton Arkhipov said today in a news release. “It’s a technical milestone giving us confidence that much larger models are not only possible, but achievable with precision and scale.”

Arkhipov and his colleagues describe the project in a research paper being presented this week in St. Louis during the SC25 conference on high-performance computing. The simulation models the activity of a whole mouse cortex, encompassing nearly 10 million neurons connected by 26 billion synapses.

To create the simulation, researchers fed data from the Allen Cell Types Database and the Allen Connectivity Atlas into Supercomputer Fugaku, a computing cluster developed by Fujitsu and Japan’s RIKEN Center for Computational Science. Fugaku is capable of executing more than 400 quadrillion operations per second, or 400 petaflops.

The massive data set was translated into a 3-D model using the Allen Institute’s Brain Modeling ToolKit. A simulation program called Neulite brought the data to life as virtual neurons that interact with each other like living brain cells.

Scientists ran the program in different scenarios, including an experiment that used the full-scale Fugaku configuration to model the entire mouse cortex.

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Scientists enlist AI to map regions of the brain in detail

Scientists say an artificial intelligence program that they compare to ChatGPT has helped them create one of the most detailed maps of the mouse brain to date, with 1,300 regions and subregions marked on the map.

Some of those subregions have never been charted before — and the researchers say there’s more to come. “I think there are already indications that we can go beyond what we see now,” said Bosiljka Tasic, director of molecular genetics at Seattle’s Allen Institute for Brain Science.

The mapping effort, led by researchers at the University of California at San Francisco and the Allen Institute, is detailed in a study published today in the journal Nature Communications.

“Our model is built on the same powerful technology as AI tools like ChatGPT,” senior author Reza Abbasi-Asl, a neuroscientist at UCSF, said in a news release. “Both are built on a ‘transformer’ network which excels at understanding context.”

That context could be important for treating neurological ailments, Tasic told me. “Location is everything in the brain,” she said. “Defining the geography of the brain, and then defining all these regions and their functions, not only leads to better understanding, but also better ability to treat.”

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Scientists create new toolkit to fight brain diseases

Scientists say they’ve put together a new kind of molecular toolkit that could eventually be used to treat a variety of brain diseases, possibly including epilepsy, sleep disorders and Huntington’s disease.

The kit currently contains more than 1,000 tools of a type known as enhancer AAV vectors, with AAV standing for “adeno-associated virus.” A consortium that included researchers from Seattle’s Allen Institute for Brain Science and the University of Washington combined harmless adeno-associated viruses with snippets of engineered DNA to create a gene-therapy package that could target specific neurons in the brain while having no effect on other cells.

Researchers laid out their findings in a set of eight studies published today in the Cell Press family of journals. The work is part of a project called the Armamentarium for Precision Brain Cell Access, funded through the National Institutes of Health’s BRAIN Initiative.

“Honing in on the right cells — in the right way and at the right time — is the future of precision brain medicine,” John Ngai, director of the BRAIN Initiative, said in a news release. “These tools move us closer to that future, while also expanding what we know about the brain’s cells and circuits today.”

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New clues in the search for the roots of consciousness

Seven years after they started, neuroscientists have published the results of a landmark study that was designed to determine which theory of human consciousness came closest to the mark — and those results are decidedly mixed.

The bad news is that neither of the leading theories held a clear advantage in explaining how consciousness arises. The good news is that researchers picked up new clues about where to look.

One of the leaders of the effort — Christof Koch, a meritorious investigator at the Seattle-based Allen Institute — said he was heartened by the state of the debate.

“Adversarial collaboration fits within the Allen Institute’s mission of team science, open science and big science, in service of one of the biggest, and most long-standing, intellectual challenges of humanity: the Mind-Body Problem,” Koch said in a news release. “Unraveling this mystery is the passion of my entire life.”

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New ‘wiring diagram’ traces millions of brain connections

Researchers say they’ve accomplished a feat that was said to be impossible 46 years ago: mapping the cells in a cubic millimeter of brain tissue and tracing their activity.

The achievement, documented today in a set of research papers published by the Nature family of journals, is being compared to the Apollo moon shots that were launched more than 50 years ago, and to drafts of the human genome that were released more than 20 years ago.

Scientists from Seattle’s Allen Institute played a key role in the $100 million effort known as the Machine Intelligence from Cortical Networks program, or MICrONS. More than 150 researchers worked together through MICrONS to create a detailed 3D map of a cubic millimeter taken from a mouse’s brain — and figure out how the 200,000 brain cells in a speck the size of a grain of sand work together.

“It really has been one of the holy grails of the field from the beginning,” Clay Reid, a senior investigator at the Allen Institute, told me. “There are many thousands of neuroscientists who study the cerebral cortex, and pretty much everyone who studies the cerebral cortex would like to be able to know what are the sources of inputs to any given cell within the cortex, and what are the outputs of that cell. That’s what such a complete data set allows one to study.”

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Elon Musk’s views on artificial vision get a reality check

If Elon Musk’s Neuralink brain-implant venture succeeds in its effort to create next-generation brain implants for artificial vision, the devices could bring about a breakthrough for those with impaired sight — but probably wouldn’t match Musk’s claim that they could provide “better than normal vision,” University of Washington researchers report.

In a study published today by the open-access science journal Scientific Reports, UW psychologists Ione Fine and Geoffrey Boynton point out that the brain’s vision system relies on complex interactions between neurons that don’t directly translate into a pixel-by-pixel picture.

“Engineers often think of electrodes as producing pixels, but that is simply not how biology works,” Fine said in a news release. “We hope that our simulations based on a simple model of the visual system can give insight into how these implants are going to perform. These simulations are very different from the intuition an engineer might have if they are thinking in terms of a pixels on a computer screen.”

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Scientists harness generative AI for cancer diagnosis

Researchers at Microsoft, Providence Health System and the University of Washington say they’ve developed a new artificial intelligence model for diagnosing cancer, based on an analysis of more than a billion images of tissue samples from more than 30,000 patients.

The open-access model, known as Prov-GigaPath, is described in research published today by the journal Nature and is already being used in clinical applications.

“The rich data in pathology slides can, through AI tools like Prov-GigaPath, uncover novel relationships and insights that go beyond what the human eye can discern,” study co-author Carlo Bifulco, chief medical officer of Providence Genomics, said in a news release. “Recognizing the potential of this model to significantly advance cancer research and diagnostics, we felt strongly about making it widely available to benefit patients globally. It’s an honor to be part of this groundbreaking work.”

The effort to develop Prov-GigaPath used AI tools to identify patterns in 1.3 billion pathology image tiles obtained from 171,189 digital whole-slides provided by Providence. The researchers say this was the largest pre-training effort to date with whole-slide modeling — drawing upon a database five to 10 times larger than datasets such as the The Cancer Genome Atlas.

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Scientists team up to turn cells into tiny recording devices

The Allen Institute, the Chan Zuckerberg Initiative and the University of Washington have launched a collaboration called the Seattle Hub for Synthetic Biology, with the goal of using genetically modified cells to capture a DNA-based record showing how they change over time.

If the project works out as hoped, it could lead to a deeper understanding of the mechanisms behind cellular processes — including, for example, how tumors grow — and point to new methods for fighting disease and promoting healthy cell growth.

Over the next five years, the Seattle Hub for Synthetic Biology will receive $35 million from the Allen Institute, and another $35 million from the Chan Zuckerberg Initiative, founded by Meta CEO Mark Zuckerberg and his wife, Priscilla Chan.

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Contest offers $101M for ways to boost healthy lifespan

Some of the biggest names in longevity research — and at least one Seattle biotech startup — say they’ll enter a $101 million, seven-year competition to turn back the clock on the effects of aging by at least 10 years.

XPRIZE Healthspan was unveiled today at a conference in Riyadh, Saudi Arabia. It’s the richest incentive-based technology competition ever created by the XPRIZE foundation, beating out a $100 million XPRIZE Carbon Removal contest that’s being funded by Elon Musk, the world’s richest (and most controversial) billionaire.

The top prize in the Healthspan contest will go to the team that does the best job of creating a therapy that can be administered in a year or less, leading to the restoration of at least 10 years’ worth of muscular function, cognition and immune function in people aged 65 to 80.

Peter Diamandis, the founder and executive chairman of XPRIZE, said the concept started out as a longevity prize, but the program’s planners “realized that the idea of waiting 20 years to see if someone won the prize was probably impractical.”

“We shifted from longevity to really looking at age reversal first, and then functional restoration second,” Diamandis explained. “You see, it doesn’t really matter what your epigenetic age is. Do you actually feel younger? Do you have the muscle, immune and cognition that you had 10 or 20 years ago? Because at the end of the game, that’s what really matters.”

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Allen Frontiers Group awards $10M for neuroimmunology

The Paul G. Allen Frontiers Group, a division of the Seattle-based Allen Institute, is launching a research center in New York to focus on interactions between the nervous system and the immune system.

The Allen Discovery Center for Neuroimmune Interactions, headquartered at the Icahn School of Medicine at Mount Sinai, will receive $10 million over the course of four years from the Paul G. Allen Family Foundation, with a total potential for $20 million over eight years.

The award is the result of an open call for research proposals exploring fundamental questions at the intersection of neuroscience and immunology. It’s the latest open-science initiative celebrating the legacy of Microsoft co-founder Paul Allen, who died five years ago at the age of 65 from complications of non-Hodgkin’s lymphoma.