A wavelet based neural model to optimize and read out a temporal population code

Frontiers in Computational Neuroscience

Volumn , Issue MARCH 2012, 2012, Pages 1-19

  Luvizotto, Andre ^a   Rennó Costa, César ^a   Verschure, Paul F M J ^a,b  

^a UNIVERSITAT POMPEU FABRA   (Spain)

^b INSTITUCIÓ CATALANA DE RECERCA I ESTUDIS AVANÇATS ICREA   (Spain)

Author keywords

Haar wavelets; Pattern recognition; Spike neural network; Temporal coding; Visual system; Wavelet transform

Indexed keywords

BURSTING NEURONS; CORE FEATURES; CORTICAL PROCESSING; DIFFERENT FREQUENCY; DOWNSTREAM AREAS; FUNCTIONAL INTERPRETATIONS; HAAR TRANSFORM; HAAR WAVELETS; HIGH-CAPACITY; LOCAL CONNECTIVITY; LONG-RANGE CONNECTIVITIES; NEURAL CIRCUITS; NEURAL MODELS; PROCESSING STAGE; READ-OUT CIRCUIT; SEQUENTIAL OPERATIONS; SPATIAL REPRESENTATIONS; SPATIO-TEMPORAL; SPECTRAL BAND; SPECTRAL PROPERTIES; SYSTEMATIC INVESTIGATIONS; TEMPORAL CODING; TEMPORAL REPRESENTATIONS; VISUAL SYSTEMS; WAVELET COEFFICIENTS;

DECODING; HOLOGRAMS; IMAGE SEGMENTATION; PATTERN RECOGNITION; WAVELET ANALYSIS; WAVELET TRANSFORMS;

ENCODING (SYMBOLS);

ALGORITHM; ARTICLE; CALCULATION; CONCEPT FORMATION; CONTROLLED STUDY; NEOCORTEX; NERVE CELL; NERVE CELL DIFFERENTIATION; PATTERN RECOGNITION; RELIABILITY; SIMULATION; STIMULUS RESPONSE; TEMPORAL POPULATION CODE; WAVELET ANALYSIS;

EID: 84859028315     PISSN: 16625188     EISSN: None     Source Type: Journal    
DOI: 10.3389/fncom.2012.00021     Document Type: Article

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