Bio-inspired communication: Performance limits for information transmission and compression in stochastic pooling networks with binary quantizing nodes

Journal of Computational and Theoretical Nanoscience

Volumn 7, Issue 5, 2010, Pages 876-883

  McDonnell, Mark D ^a   Amblard, Pierre Olivier ^b   Stocks, Nigel G ^c  

^a UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

^b GIPSA LAB   (France)

^c UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

Bio Inspired communication; Bit error rates; Lossy compression; Mutual information; Neurons; Quantization; Redundancy; Stochastic pooling networks; Stochastic resonance; Suprathreshold stochastic resonance

Indexed keywords

BIO-INSPIRED; BIO-INSPIRED COMMUNICATION; LOSSY COMPRESSIONS; MUTUAL INFORMATIONS; QUANTIZATION; STOCHASTIC RESONANCES; SUPRATHRESHOLD STOCHASTIC RESONANCE;

CIRCUIT RESONANCE; COMMUNICATION; MAGNETIC RESONANCE; NEURONS; QUALITY ASSURANCE; REDUNDANCY; SIGNAL TRANSDUCTION; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

BIT ERROR RATE;

EID: 77954936809     PISSN: 15461955     EISSN: None     Source Type: Journal    
DOI: 10.1166/jctn.2010.1434     Document Type: Conference Paper

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