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Discussions of the hippocampus often focus on place cells, but many neuronsare not place cells in any given environment. Here we describe the collectiveactivity in such mixed populations, treating place and non-place cells on thesame footing. We start with optical imaging experiments on CA1 in mice as theyrun along a virtual linear track, and use maximum entropy methods toapproximate the distribution of patterns of activity in the population,matching the correlations between pairs of cells but otherwise assuming aslittle structure as possible. We find that these simple models accuratelypredict the activity of each neuron from the state of all the other neurons inthe network, regardless of how well that neuron codes for position. These andother results suggest that place cells are not a distinct sub-network, but partof a larger system that encodes, collectively, more than just placeinformation.

Collective behavior of place and non-place neurons in the hippocampal network