Direct estimates of trajectory irreversibility can be made by extrapolating plug-in D_KL estimates to infinite sample size, and single retinal neurons show nonzero irreversibility over 200 ms windows.
Statistical mechanics for networks of real neurons
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
Perceptions and actions, thoughts and memories result from coordinated activity in hundreds or even thousands of neurons in the brain. It is an old dream of the physics community to provide a statistical mechanics description for these and other emergent phenomena of life. These aspirations appear in a new light because of developments in our ability to measure the electrical activity of the brain, sampling thousands of individual neurons simultaneously over hours or days. We review the progress that has been made in bringing theory and experiment together, focusing on maximum entropy methods and a phenomenological renormalization group. These approaches have uncovered new, quantitatively reproducible collective behaviors in networks of real neurons, and provide examples of rich parameter--free predictions that agree in detail with experiment.
citation-role summary
background 1
citation-polarity summary
fields
cond-mat.stat-mech 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Direct estimates of irreversibility from time series
Direct estimates of trajectory irreversibility can be made by extrapolating plug-in D_KL estimates to infinite sample size, and single retinal neurons show nonzero irreversibility over 200 ms windows.