Information capacity of stochastic pooling networks is achieved by discrete inputs

Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

Volumn 79, Issue 4, 2009, Pages

  McDonnell, Mark D ^a  

^a UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

FINITE NUMBERS; INFORMATION CAPACITIES; INFORMATION SOURCES; INFORMATION TRANSMISSIONS; INPUT SIGNALS; MULTIPLE SENSORS; MUTUAL INFORMATIONS; NOISE DISTRIBUTIONS; OPTIMAL INPUT DISTRIBUTIONS; OPTIMAL NOISE; SENSORY NEURONS; SIGNAL DISTRIBUTIONS; SUPRATHRESHOLD STOCHASTIC RESONANCES;

CHANNEL CAPACITY; NEURONS; OPTICAL COMMUNICATION; OPTIMIZATION; RANDOM PROCESSES; RESONANCE; SENSORS; SIGNAL PROCESSING;

SENSOR NETWORKS;

EID: 65449144040     PISSN: 15393755     EISSN: 15502376     Source Type: Journal    
DOI: 10.1103/PhysRevE.79.041107     Document Type: Article

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