Name: Check out the AI brain search engine built on mouse brain maps
Uploaded: 2025-11-19T14:49:02.472Z
Duration: 2 min 28 s
Description: The Allen Institute in Seattle has released an artificial intelligence platform that lets scientists search and compare massive brain datasets as easily as looking something up online, the institute said.

The Allen Institute in Seattle has released an artificial intelligence platform that lets scientists search and compare massive brain datasets as easily as looking something up online, the institute said.

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Scientists have introduced the Brain Knowledge Platform, an artificial intelligence tool designed to allow researchers to search and compare brain maps with the ease of a Google search. The platform integrates extensive datasets from both humans and animals, with a particular emphasis on detailed mouse brain maps, and was developed through collaboration among institutions including the Allen Institute, RIKEN Center for Computational Science, and Fujitsu.

The tool enables direct comparison of brain cells, circuits, and disease markers across studies, potentially speeding up research on conditions such as dementia and psychiatric disorders. While current simulations focus on the mouse brain, researchers hope future advances will allow similar detailed modeling of the human brain.

Check out the AI 'brain search engine' built on mouse brain maps

Scientists have created a new artificial intelligence tool they say can let them look up so-called brain maps as easily as a Google search. They call it the Brain Knowledge Platform, and being able to compare massive brain datasets like this may even speed up research on conditions like dementia and psychiatric disorders. The platform pulls together data from humans and other animals, but its backbone is an unusually rich set of brain maps of mice. The work brings together researchers from the Allen Institute in Seattle, Japan's RIKEN Center for Computational Science, tech company Fujitsu, as well as other collaborators, who helped run mouse brain simulations on Japan's Fugaku supercomputer. Anton Arkhipov is an investigator at the Allen Institute. So now this is a technical milestone. It's a simulation of a very carefully, systematically constructed model of the whole mouse cortex at a high level of resolution where we represent each of the approximately 10 million neurons in the cortex as a tree consisting of multiple electrical compartments. Over the past 20 years, scientists have mapped where thousands of genes turn on across the brain of a mouse, how different cell types are distributed, and how regions of their brain connect and process visual information. Now, with the Brain Knowledge Platform, they can check their mouse experiments against studies from other labs, allowing apples-to-apples comparisons of brain cells, circuits, and disease markers. Scientists say feeding previous data sets into one big AI system may also help drug makers test ideas more quickly, and that mouse brains are a crucial testing ground because they share most of their genes with humans but are far easier to study in high detail. Arkhipov says he has big hopes for the future of the technology. Ultimately, it would be fantastic to be able to run simulations at the level of the human brain with this level of detail that we have in the simulation. Currently, it's not feasible, even at the largest supercomputer possible, or the largest supercomputer available, but in the future, we believe that that should be possible.

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Check out the AI 'brain search engine' built on mouse brain maps

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