Optimal Population Codes for Space: Grid Cells Outperform Place Cells

DOI10.1162/NECO_a_00319zbMath1269.92023WikidataQ28266824 ScholiaQ28266824MaRDI QIDQ5327141

Martin Stemmler, Alexandre Mathis, Andreas V. M. Herz

Publication date: 7 August 2013

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

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Neural biology (92C20) Computational methods for problems pertaining to biology (92-08) Animal behavior (92D50)

Related Items (8)

A computational model for grid maps in neural populations ⋮ Neural Representation of Spatial Topology in the Rodent Hippocampus ⋮ Transition scale-spaces: A computational theory for the discretized entorhinal cortex ⋮ Mutual Information, Fisher Information, and Efficient Coding ⋮ Asymmetry of Neuronal Combinatorial Codes Arises from Minimizing Synaptic Weight Change ⋮ On Decoding Grid Cell Population Codes Using Approximate Belief Propagation ⋮ Hexagonal Grid Fields Optimally Encode Transitions in Spatiotemporal Sequences ⋮ Toward a Unified Framework for Cognitive Maps

Cites Work

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• Vector reconstruction from firing rates
• Representational Accuracy of Stochastic Neural Populations
• Bayesian Filtering in Spiking Neural Networks: Noise, Adaptation, and Multisensory Integration
• Optimal Short-Term Population Coding: When Fisher Information Fails
• Fast Population Coding
• Optimal Neuronal Tuning for Finite Stimulus Spaces

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