Neural representation of spatial topology in the rodent hippocampus

Zhe Chen, Stephen N. Gomperts, Jun Yamamoto, Matthew A. Wilson

Research output: Contribution to journalArticle

35 Citations (Scopus)

Abstract

Pyramidal cells in the rodent hippocampus often exhibit clear spatial tuning in navigation. Although it has been long suggested that pyramidal cell activity may underlie a topological code rather than a topographic code, it remains unclear whether an abstract spatial topology can be encoded in the ensemble spiking activity of hippocampal place cells. Using a statistical approach developed previously, we investigate this question and related issues in greater detail.We recorded ensembles of hippocampal neurons as rodents freely foraged in one- and two-dimensional spatial environments and used a "decode-to-uncover" strategy to examine the temporally structured patterns embedded in the ensemble spiking activity in the absence of observed spatial correlates during periods of rodent navigation or awake immobility. Specifically, the spatial environment was represented by a finite discrete state space. Trajectories across spatial locations ("states") were associated with consistent hippocampal ensemble spiking patterns, which were characterized by a state transition matrix. From this state transition matrix, we inferred a topology graph that defined the connectivity in the state space. In both one- and two-dimensional environments, the extracted behavior patterns from the rodent hippocampal population codes were compared against randomly shuffled spike data. In contrast to a topographic code, our results supportthe efficiency of topological coding in the presence of sparse sample size and fuzzy spacemapping. This computational approach allows us to quantify the variability of ensemble spiking activity, examine hippocampal population codes during off-line states, and quantify the topological complexity of the environment.

Original languageEnglish (US)
Pages (from-to)1-39
Number of pages39
JournalNeural Computation
Volume26
Issue number1
DOIs
StatePublished - Jan 30 2014

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Rodentia
Hippocampus
Pyramidal Cells
Sample Size
Population
Neurons
Topology
Rodent
Ensemble
Cells
Navigation

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Arts and Humanities (miscellaneous)

Cite this

Neural representation of spatial topology in the rodent hippocampus. / Chen, Zhe; Gomperts, Stephen N.; Yamamoto, Jun; Wilson, Matthew A.

In: Neural Computation, Vol. 26, No. 1, 30.01.2014, p. 1-39.

Research output: Contribution to journalArticle

Chen, Zhe ; Gomperts, Stephen N. ; Yamamoto, Jun ; Wilson, Matthew A. / Neural representation of spatial topology in the rodent hippocampus. In: Neural Computation. 2014 ; Vol. 26, No. 1. pp. 1-39.
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