Characterization of Minimum Error Linear Coding with Sensory and Neural Noise

DOI10.1162/NECO_a_00181zbMath1231.94020OpenAlexW2062690756WikidataQ84511684 ScholiaQ84511684MaRDI QIDQ3116940

Eizaburo Doi, Michael S. Lewicki

Publication date: 14 February 2012

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

Full work available at URL: https://doi.org/10.1162/neco_a_00181

zbMATH Keywords

Wiener filteringdecodinglinear neuronsrobust coding

Mathematics Subject Classification ID

Linear codes (general theory) (94B05) Biomedical imaging and signal processing (92C55) Neural networks for/in biological studies, artificial life and related topics (92B20) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Decoding (94B35)

Related Items (3)

Physiological constraints of visual pathway lead to more efficient coding of information in retina ⋮ Learning Visual Spatial Pooling by Strong PCA Dimension Reduction ⋮ Efficient Neural Codes That Minimize L_p Reconstruction Error

Cites Work

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• Elements of Information Theory
• Transmission of noisy information to a noisy receiver with minimum distortion
• Information transmission with additional noise

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