Statistical physics of cognition
Lead Research Organisation:
Imperial College London
Department Name: Bioengineering
Abstract
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.
Organisations
Publications
Garcia-Font N
(2022)
Ca2+ imaging of self and other in medial prefrontal cortex during social dominance interactions in a tube test.
in Proceedings of the National Academy of Sciences of the United States of America
Gobbo F
(2022)
Neuronal signature of spatial decision-making during navigation by freely moving rats by using calcium imaging.
in Proceedings of the National Academy of Sciences of the United States of America
Laumann F
(2023)
Kernel-Based Independence Tests for Causal Structure Learning on Functional Data
in Entropy
Liu Z
(2023)
Kernel-based joint independence tests for multivariate stationary and non-stationary time series
in Royal Society Open Science
Maes A
(2023)
Long- and short-term history effects in a spiking network model of statistical learning.
in Scientific reports
Vera Gonzalez G
(2022)
Two-Photon Targeted, Quad Whole-Cell Patch-Clamping Robot