Bayesian Integration of Information in Hippocampal Place Cells

Tamas Madl, Stan Franklin, Ke Chen, Daniela Montaldi and Robert Trappl

PLOS ONE, 2014, vol. 9, issue 3, 1-16

Abstract: Accurate spatial localization requires a mechanism that corrects for errors, which might arise from inaccurate sensory information or neuronal noise. In this paper, we propose that Hippocampal place cells might implement such an error correction mechanism by integrating different sources of information in an approximately Bayes-optimal fashion. We compare the predictions of our model with physiological data from rats. Our results suggest that useful predictions regarding the firing fields of place cells can be made based on a single underlying principle, Bayesian cue integration, and that such predictions are possible using a remarkably small number of model parameters.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0089762

DOI: 10.1371/journal.pone.0089762

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