171 citations · 327 across the 5 of their papers we have counts for
5 papers
Statistical mechanics for networks of real neurons
Leenoy Meshulam, William Bialek
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 t…
Successes and failures of simple statistical physics models for a network of real neurons
Leenoy Meshulam, Jeffrey L. Gauthier, Carlos D. Brody +2
Biological networks exhibit complex, coordinated patterns of activity. Can these patterns be captured precisely in simple models? Here we use measurements of simultaneous activity…
Coarse--graining and hints of scaling in a population of 1000+ neurons
Leenoy Meshulam, Jeffrey L. Gauthier, Carlos D. Brody +2
In many systems we can describe emergent macroscopic behaviors, quantitatively, using models that are much simpler than the underlying microscopic interactions; we understand the s…
Coarse--graining, fixed points, and scaling in a large population of neurons
Leenoy Meshulam, Jeffrey L. Gauthier, Carlos D. Brody +2
We develop a phenomenological coarse--graining procedure for activity in a large network of neurons, and apply this to recordings from a population of 1000+ cells in the hippocampu…
Collective behavior of place and non-place neurons in the hippocampal network
Leenoy Meshulam, Jeffrey L. Gauthier, Carlos D. Brody +2
Discussions of the hippocampus often focus on place cells, but many neurons are not place cells in any given environment. Here we describe the collective activity in such mixed pop…