414 citations · 802 across the 6 of their papers we have counts for
6 papers
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…
Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks
Noah J. Apthorpe, Alexander J. Riordan, Rob E. Aguilar +4
Calcium imaging is an important technique for monitoring the activity of thousands of neurons simultaneously. As calcium imaging datasets grow in size, automated detection of indiv…
Recurrent Network Models Of Sequence Generation And Memory
Kanaka Rajan, Christopher D Harvey, David W Tank
Sequential activation of neurons is a common feature of network activity during a variety of behaviors, including working memory and decision making. Previous network models for se…