Quantifying stimulus discriminability: A comparison of information theory and ideal observer analysis

Neural Computation

Volumn 17, Issue 4, 2005, Pages 741-778

  Thomson, Eric E ^a   Kristan, William B ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ANIMAL; ARTICLE; BIOLOGICAL MODEL; COMPARATIVE STUDY; ENTROPY; HUMAN; INFORMATION SCIENCE; NERVOUS SYSTEM FUNCTION; OBSERVER VARIATION; PERCEPTIVE DISCRIMINATION; PHYSIOLOGY; SENSATION; SYSTEM ANALYSIS;

ALGORITHMS; ANIMALS; DISCRIMINATION (PSYCHOLOGY); ENTROPY; HUMANS; INFORMATION THEORY; MODELS, NEUROLOGICAL; NERVOUS SYSTEM PHYSIOLOGY; OBSERVER VARIATION; PROBABILITY THEORY; SENSATION; SIGNAL DETECTION (PSYCHOLOGY);

EID: 17044426283     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/0899766053429435     Document Type: Article

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