On the Organization of Grid and Place Cells: Neural Denoising via Subspace Learning

David M. Schwartz, Onur Ozan Koyluoglu

Research output: Contribution to journalArticle

Abstract

Place cells in the hippocampus (HC) are active when an animal visits a certain location (referred to as a place field) within an environment. Grid cells in the medial entorhinal cortex (MEC) respond at multiple locations, with firing fields that form a periodic and hexagonal tiling of the environment. The joint activity of grid and place cell populations, as a function of location, forms a neural code for space. In this article, we develop an understanding of the relationships between coding theoretically relevant properties of the combined activity of these populations and how these properties limit the robustness of this representation to noise-induced interference. These relationships are revisited by measuring the performances of biologically realizable algorithms implemented by networks of place and grid cell populations, as well as constraint neurons, which perform denoising operations. Contributions of this work include the investigation of coding theoretic limitations of the mammalian neural code for location and how communication between grid and place cell networks may improve the accuracy of each population's representation. Simulations demonstrate that denoising mechanisms analyzed here can significantly improve the fidelity of this neural representation of space. Furthermore, patterns observed in connectivity of each population of simulated cells predict that anti-Hebbian learning drives decreases in inter-HC-MEC connectivity along the dorsoventral axis.

Original languageEnglish (US)
Pages (from-to)1519-1550
Number of pages32
JournalNeural computation
Volume31
Issue number8
DOIs
StatePublished - Aug 1 2019

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Learning
Entorhinal Cortex
Population
Hippocampus
Noise
Communication
Grid Cells
Place Cells
Grid
Cells
Neurons
Connectivity
Cortex

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Cognitive Neuroscience

Cite this

On the Organization of Grid and Place Cells : Neural Denoising via Subspace Learning. / Schwartz, David M.; Koyluoglu, Onur Ozan.

In: Neural computation, Vol. 31, No. 8, 01.08.2019, p. 1519-1550.

Research output: Contribution to journalArticle

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