Computational identification of receptive fields

Annual Review of Neuroscience

Volumn 36, Issue , 2013, Pages 103-120

  Sharpee, Tatyana O ^a,b  

^a SALK INSTITUTE FOR BIOLOGICAL STUDIES   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Maximum likelihood; Mutual information; Natural stimuli; Neural networks; Spike triggered average

Indexed keywords

COVARIANCE; HUMAN; LIGHT INTENSITY; MEASUREMENT; NERVE POTENTIAL; PRIORITY JOURNAL; RECEPTIVE FIELD; REVIEW; SENSORY NERVE CELL; STATISTICAL MODEL; STIMULUS; STIMULUS RESPONSE; VISION;

ACTION POTENTIALS; ANIMALS; COMPUTER SIMULATION; HUMANS; MODELS, NEUROLOGICAL; NEURONS; VISUAL FIELDS; VISUAL PATHWAYS;

EID: 84880278523     PISSN: 0147006X     EISSN: 15454126     Source Type: Book Series    
DOI: 10.1146/annurev-neuro-062012-170253     Document Type: Review

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