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

DOI10.1162/neco_a_01208zbMath1429.92022arXiv1712.04602OpenAlexW2963584595WikidataQ91508544 ScholiaQ91508544MaRDI QIDQ5214357

David M. Schwartz, O. Ozan Koyluoglu

Publication date: 7 February 2020

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

Full work available at URL: https://arxiv.org/abs/1712.04602

zbMATH Keywords

hippocampussubspace learninggrid cellsplace cellsmedial entorhinal cortexneural denoising

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Memory and learning in psychology (91E40)

Cites Work

• On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix
• The capacity of the Hopfield associative memory
• Neural networks and physical systems with emergent collective computational abilities.
• Combinatorial Neural Codes from a Mathematical Coding Theory Perspective

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