Extracting information in spike time patterns with wavelets and information theory

Journal of Neurophysiology

Volumn 113, Issue 3, 2015, Pages 1015-1033

  Lopes dos Santos, Vítor ^a,b   Panzeri, Stefano ^c,d   Kayser, Christoph ^e,f   Diamond, Mathew E ^g   Quian Quiroga, Rodrigo ^b  

^a FEDERAL UNIVERSITY OF RIO GRANDE DO NORTE   (Brazil)

^b UNIVERSITY OF LEICESTER   (United Kingdom)

^c ISTITUTO ITALIANO DI TECNOLOGIA   (Italy)

^d MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

^e UNIVERSITY OF GLASGOW   (United Kingdom)

^f Bernstein Center for Computational Neuroscience   (Germany)

^g SISSA   (Italy)

Author keywords

Decoding; Information theory; Neuronal coding; Temporal coding; Wavelets

Indexed keywords

ADULT; ANIMAL CELL; ANIMAL EXPERIMENT; ARTICLE; AUDITORY CORTEX; HAPLORHINI; INFORMATION RETRIEVAL; INFORMATION SCIENCE; NERVE CELL; NOISE; NONHUMAN; PRIMARY SOMATOSENSORY CORTEX; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; RAT; SENSORY STIMULATION; SPIKE WAVE; STIMULUS RESPONSE; TASK PERFORMANCE; ALGORITHM; ANIMAL; BRAIN CORTEX; ELECTROPHYSIOLOGY; EVOKED RESPONSE; PHYSIOLOGY; PROCEDURES; SIGNAL NOISE RATIO;

ALGORITHMS; ANIMALS; CEREBRAL CORTEX; ELECTROPHYSIOLOGY; EVOKED POTENTIALS; HAPLORHINI; INFORMATION THEORY; RATS; SIGNAL-TO-NOISE RATIO;

EID: 84922222205     PISSN: 00223077     EISSN: 15221598     Source Type: Journal    
DOI: 10.1152/jn.00380.2014     Document Type: Article

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