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A computational model for grid maps in neural populations

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Publication:2210970
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DOI10.1007/S10827-020-00742-9zbMath1451.92009arXiv1902.06553OpenAlexW3009413916WikidataQ89992562 ScholiaQ89992562MaRDI QIDQ2210970

Micah M. Murray, Fabio Anselmi, Benedetta Franceschiello

Publication date: 10 November 2020

Published in: Journal of Computational Neuroscience (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1902.06553


zbMATH Keywords

computational modelhippocampusgrid cells


Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Computational methods for problems pertaining to biology (92-08)


Related Items (2)

Why grid cells function as a metric for space ⋮ Theta Functions and Optimal Lattices for a Grid Cells Model




Cites Work

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  • Unnamed Item
  • Natural image statistics. A probabilistic approach to early computational vision.
  • A simplified neuron model as a principal component analyzer
  • Wavelets, vision and the statistics of natural scenes
  • Optimal Population Codes for Space: Grid Cells Outperform Place Cells
  • Quantized frame expansions with erasures




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