Space, time and learning in the hippocampus: How fine spatial and temporal scales are expanded into population codes for behavioral control

DOI10.1016/j.neunet.2006.11.007zbMath1107.92011DBLPjournals/nn/GorchetchnikovG07OpenAlexW2115648661WikidataQ48310598 ScholiaQ48310598MaRDI QIDQ872391

Anatoli Gorchetchnikov, Stephen Grossberg

Publication date: 27 March 2007

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://hdl.handle.net/2144/2047

zbMATH Keywords

entorhinal cortexgrid cellsspatial navigationadaptively timed learningCA3dentate gyrusplace cells

Mathematics Subject Classification ID

Neural biology (92C20)

Related Items (4)

Why grid cells function as a metric for space ⋮ Transition scale-spaces: A computational theory for the discretized entorhinal cortex ⋮ Exponentially Long Orbits in Hopfield Neural Networks ⋮ Hexagonal Grid Fields Optimally Encode Transitions in Spatiotemporal Sequences

Cites Work

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• A Proposed Function for Hippocampal Theta Rhythm: Separate Phases of Encoding and Retrieval Enhance Reversal of Prior Learning
• Contour Enhancement, Short Term Memory, and Constancies in Reverberating Neural Networks
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