The simplest maximum entropy model for collective behavior in a neural network

DOI10.1088/1742-5468/2013/03/P03011zbMath1456.92035arXiv1207.6319OpenAlexW3103448208MaRDI QIDQ3301553

Michael J. Berry II, Thierry Mora, Olivier Marre, Dario Amodei, William Bialek, Gašper Tkačik

Publication date: 11 August 2020

Published in: Journal of Statistical Mechanics: Theory and Experiment (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1207.6319

Mathematics Subject Classification ID

Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (7)

Pattern recognition at different scales: a statistical perspective ⋮ Ultrametric identities in glassy models of natural evolution ⋮ The Population Tracking Model: A Simple, Scalable Statistical Model for Neural Population Data ⋮ Theory of population coupling and applications to describe high order correlations in large populations of interacting neurons ⋮ Modeling the Correlated Activity of Neural Populations: A Review ⋮ Performance of the quantum maxent estimation in the presence of physical symmetries ⋮ Solutions for the MaxEnt problem with symmetry constraints

Cites Work

• Are biological systems poised at criticality?
• Random-energy model: An exactly solvable model of disordered systems
• Information Theory and Statistical Mechanics
• Modeling Brain Function
• Neural networks and physical systems with emergent collective computational abilities.

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