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The first complete map of mouse mind exercise has been unveiled by a big worldwide collaboration of neuroscientists.
Researchers from the International Brain Laboratory (IBL), together with MIT neuroscientist Ila Fiete, revealed their open-access findings at the moment in two papers in Nature, revealing insights into how decision-making unfolds throughout your entire mind in mice at single-cell decision. This brain-wide exercise map challenges the standard hierarchical view of knowledge processing within the mind and exhibits that decision-making is distributed throughout many areas in a extremely coordinated manner.
“This is the first time anyone has produced a full, brain-wide map of the activity of single neurons during decision-making,” explains co-founder of IBL Alexandre Pouget. “The scale is unprecedented as we recorded from over half-a-million neurons across mice in 12 labs, covering 279 brain areas, which together represent 95 percent of the mouse brain volume. The decision-making activity, and particularly reward, lit up the brain like a Christmas tree,” provides Pouget, who can also be a bunch chief on the University of Geneva in Switzerland.
Modeling decision-making
The mind map was made doable by a serious worldwide collaboration of neuroscientists from a number of universities, together with MIT. Researchers throughout 12 labs used state-of-the-art silicon electrodes, referred to as neuropixels probes, for simultaneous neural recordings to measure mind exercise whereas mice had been finishing up a decision-making process.
“Participating in the International Brain Laboratory has added new ways for our group to contribute to science,” says Fiete, who can also be a professor of mind and cognitive sciences, an affiliate investigator on the McGovern Institute for Brain Research, and director of the K. Lisa Yang ICoN Center at MIT. “Our lab has helped standardize methods to analyze and generate robust conclusions from data. As computational neuroscientists interested in building models of how the brain works, access to brain-wide recordings is incredible: the traditional approach of recording from one or a few brain areas limited our ability to build and test theories, resulting in fragmented models. Now, we have the delightful but formidable task to make sense of how all parts of the brain coordinate to perform a behavior. Surprisingly, having a full view of the brain leads to simplifications in the models of decision-making,” says Fiete.
The labs collected information from mice performing a decision-making process with sensory, motor, and cognitive parts. In the duty, a mouse sits in entrance of a display and a light-weight seems on the left or proper aspect. If the mouse then responds by transferring a small wheel within the right path, it receives a reward.
In some trials, the sunshine is so faint that the animal should guess which technique to flip the wheel, for which it could possibly use prior information: the sunshine tends to look extra steadily on one aspect for quite a lot of trials, earlier than the high-frequency aspect switches. Well-trained mice study to make use of this info to assist them make right guesses. These difficult trials due to this fact allowed the researchers to review how prior expectations affect notion and decision-making.
Brain-wide outcomes
The first paper, “A brain-wide map of neural activity during complex behaviour,” confirmed that decision-making alerts are surprisingly distributed throughout the mind, not localized to particular areas. This provides brain-wide proof to a rising variety of research that problem the standard hierarchical mannequin of mind perform, and emphasizes that there’s fixed communication throughout mind areas throughout decision-making, motion onset, and even reward. This signifies that neuroscientists might want to take a extra holistic, brain-wide strategy when learning advanced behaviors sooner or later.
“The unprecedented breadth of our recordings pulls back the curtain on how the entire brain performs the whole arc of sensory processing, cognitive decision-making, and movement generation,” says Fiete. “Structuring a collaboration that collects a large standardized dataset which single labs could not assemble is a revolutionary new direction for systems neuroscience, initiating the field into the hyper-collaborative mode that has contributed to leaps forward in particle physics and human genetics. Beyond our own conclusions, the dataset and associated technologies, which were released much earlier as part of the IBL mission, have already become a massively used resource for the entire neuroscience community.”
The second paper, “Brain-wide representations of prior information,” confirmed that prior expectations — our beliefs about what’s prone to occur primarily based on our latest expertise — are encoded all through the mind. Surprisingly, these expectations should not solely present in cognitive areas, but additionally mind areas that course of sensory info and management actions. For instance, expectations are even encoded in early sensory areas such because the thalamus, the mind’s first relay for visible enter from the attention. This helps the view that the mind acts as a prediction machine, however with expectations encoded throughout a number of mind buildings taking part in a central position in guiding conduct responses. These findings may have implications for understanding circumstances corresponding to schizophrenia and autism, that are regarded as brought on by variations in the way in which expectations are up to date within the mind.
“Much remains to be unpacked: If it is possible to find a signal in a brain area, does it mean that this area is generating the signal, or simply reflecting a signal generated somewhere else? How strongly is our perception of the world shaped by our expectations? Now we can generate some quantitative answers and begin the next phase experiments to learn about the origins of the expectation signals by intervening to modulate their activity,” says Fiete.
Looking forward, the workforce at IBL plan to increase past their preliminary give attention to decision-making to discover a broader vary of neuroscience questions. With renewed funding in hand, IBL goals to increase its analysis scope and proceed to help large-scale, standardized experiments.
New mannequin of collaborative neuroscience
Officially launched in 2017, IBL launched a brand new mannequin of collaboration in neuroscience that makes use of a standardized set of instruments and information processing pipelines shared throughout a number of labs, enabling the gathering of large datasets whereas making certain information alignment and reproducibility. This strategy to democratize and speed up science attracts inspiration from large-scale collaborations in physics and biology, corresponding to CERN and the Human Genome Project.
All information from these research, together with detailed specs of the instruments and protocols used for information assortment, are brazenly accessible to the worldwide scientific neighborhood for additional evaluation and analysis. Summaries of those sources could be considered and downloaded on the IBL web site underneath the sections: Data, Tools, Protocols.
This analysis was supported by grants from Wellcome, the Simons Foundation, the National Institutes of Health, the National Science Foundation, the Gatsby Charitable Foundation, and by the Max Planck Society and the Humboldt Foundation.
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