Completed Brain & Nervous System Psychology & Behaviour

Statistical physics of cognition

In plain English

AI plain-English summary

A single avalanche of electrical activity, sweeping across roughly ten thousand neurons at once, may hold the key to how the brain thinks. This project tackles a long-standing gap in neuroscience. For years, researchers have observed that brain circuits operate near a special point called "criticality"—a state where systems are poised between order and chaos, and where avalanches of activity propagate in characteristic patterns. But no one has been able to link that physical state directly to cognition—to actual thinking, remembering, or deciding. The team will bridge that gap by simulating neurons from the sub-cellular level up to whole-brain networks, and by using a new imaging technique to watch avalanches unfold in large populations of neurons while animals perform a cognitive task. This is fundamental science. It asks how the brain’s physical architecture gives rise to thought, without promising an immediate medical or technological payoff. If it succeeds, it could reshape our understanding of what goes wrong in conditions such as epilepsy, schizophrenia, or dementia—where the brain’s critical balance may be disrupted. Similar fundamental work on criticality in physics has already influenced fields from materials science to earthquake prediction; a deeper grasp of how the brain tunes itself could one day inform new diagnostics or therapies for neurological disorders.

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This project asks how the statistical mechanics of critical processes such as avalanches underpin mammalian cognition. This is important because self-organising criticality has been proposed as a general explanation of the architecture and operating point of brain circuitry, however until now it has not been possible to relate it to cognitive function itself. We bring an inter-disciplinary approach to bear upon this problem, simulating neuronal mechanisms at scales from sub-cellular to brain-wide, and employing a new mesoscopic neuroimaging technology to detect avalanches and measure distance to criticality in very large (~10,000) populations of neurons during a cognitive task. This will bring new insight into system-wide brain function during health and disease states.

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Researchers

Amanda Foust (Co-Investigator)Henrik Jensen (Co-Investigator)Mauricio Barahona (Co-Investigator)Simon Schultz (Principal Investigator)

Related Research

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Research Grant

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