Error-based analysis of optimal tuning functions explains phenomena observed in sensory neurons

Frontiers in Computational Neuroscience

Volumn 4, Issue , 2010, Pages

  Yaeli, Steve ^a   Meir, Ron ^a  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

Bayesian decoding; Fisher information; Neural encoding; Optimal width; Population coding; Tuning functions

Indexed keywords

FISHER INFORMATION; NEURAL ENCODING; OPTIMAL WIDTH; POPULATION CODING; TUNING FUNCTION; BAYESIAN DECODING;

BIOLOGICAL SYSTEMS; DECODING; ENCODING (SYMBOLS); FISHER INFORMATION MATRIX; NEURAL NETWORKS; NEURONS; RELIABILITY THEORY; TUNING;

OPTIMIZATION;

ARTICLE; BAYES THEOREM; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MONTE CARLO METHOD; MULTIDIMENSIONAL SCALING; MULTIVARIATE ANALYSIS; PREDICTION; PROCESS OPTIMIZATION; RELIABILITY; SENSORY NERVE; SIGNAL NOISE RATIO; SIGNAL PROCESSING; STATISTICAL DISTRIBUTION; SYSTEMS BIOLOGY; UNIVARIATE ANALYSIS;

EID: 79952726588     PISSN: 16625188     EISSN: None     Source Type: Journal    
DOI: 10.3389/fncom.2010.00130     Document Type: Article

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