Fisher and Shannon Information in Finite Neural Populations

DOI10.1162/NECO_a_00292zbMath1247.92006OpenAlexW2170334989WikidataQ48005911 ScholiaQ48005911MaRDI QIDQ2919422

Peggy Seriès, Edward Challis, Stuart Yarrow

Publication date: 2 October 2012

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

Full work available at URL: https://doi.org/10.1162/neco_a_00292

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20) Information theory (general) (94A15) Statistical aspects of information-theoretic topics (62B10)

Related Items (9)

Stimulus reference frame and neural coding precision ⋮ Encoding efficiency of suprathreshold stochastic resonance on stimulus-specific information ⋮ Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise ⋮ Coding Accuracy Is Not Fully Determined by the Neuronal Model ⋮ Mutual Information, Fisher Information, and Efficient Coding ⋮ Efficient Neural Codes That Minimize L_p Reconstruction Error ⋮ Information-Theoretic Bounds and Approximations in Neural Population Coding ⋮ Coordinate invariance as a fundamental constraint on the form of stimulus-specific information measures ⋮ Statistical Analysis of Decoding Performances of Diverse Populations of Neurons

Cites Work

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• Measuring Information Spatial Densities
• Is the Homunculus “Aware” of Sensory Adaptation?
• Metric-space analysis of spike trains: theory, algorithms and application
• Optimal Short-Term Population Coding: When Fisher Information Fails
• Nonlinear Population Codes
• Elements of Information Theory

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