Adaptive compressed sensing - A new class of self-organizing coding models for neuroscience

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2010, Pages 5494-5497

  Coulter, William K ^a   Hillar, Christopher J ^b   Isley, Guy ^a   Sommer, Friedrich T ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b MATHEMATICAL SCIENCES RESEARCH INSTITUTE   (United States)

Author keywords

Adaptive coding; Biological system modeling; Image coding; Nonlinear circuits; Random codes

Indexed keywords

BIOLOGICAL SYSTEMS; CODES (SYMBOLS); IMAGE CODING; TIMING CIRCUITS;

ADAPTIVE CODING; BIOLOGICAL SYSTEM MODELING; CODING MODELS; COMPRESSED-SENSING; NONLINEAR CIRCUIT; RANDOM CODES; RECEPTIVE FIELDS; SELF-ORGANISING; SENSORY AREAS; SPARSE CODING;

COMPRESSED SENSING;

EID: 78049359766     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5495209     Document Type: Conference Paper

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