A model of topological mapping of space in bat hippocampus.

Abstract:

:The mammalian hippocampus plays a key role in spatial learning and memory, but the exact nature of the hippocampal representation of space is still being explored. Recently, there has been a fair amount of success in modeling hippocampal spatial maps in rats, assuming a topological perspective on spatial information processing. In this article, we use the topological approach to study the formation of a 3D spatial map in bats, which produces several insights into neurophysiological mechanisms of the hippocampal spatial leaning. First, we demonstrate that, in order to produce accurate maps of the environment, place cell should be organized into functional groups, which can be interpreted as cell assemblies. Second, the model suggests that the readout neurons in these cell assemblies should function as integrators of synaptic inputs, rather than detectors of place cells' coactivity, which allows estimating the integration time window. Lastly, the model suggests that, in contrast with relatively slow moving rats, suppressing θ-precession in bats improves the place cells capacity to encode spatial maps, which is consistent with the experimental observations. © 2016 Wiley Periodicals, Inc.

journal_name

Hippocampus

journal_title

Hippocampus

authors

Hoffman K,Babichev A,Dabaghian Y

doi

10.1002/hipo.22610

subject

Has Abstract

pub_date

2016-10-01 00:00:00

pages

1345-53

issue

10

eissn

1050-9631

issn

1098-1063

journal_volume

26

pub_type

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