Energy-Efficient Neuronal Computation via Quantal Synaptic Failures

Journal of Neuroscience

Volumn 22, Issue 11, 2002, Pages 4746-4755

  Levy, William B ^a   Baxter, Robert A ^a,b  

^a UNIVERSITY OF VIRGINIA HEALTH SYSTEM   (United States)

^b Baxter Research   (United States)

Author keywords

Computation; Efficiency; Energy; Entropy; Information theory; Mutual information; Optimization; Quantal failures; Shannon

Indexed keywords

ARTICLE; DENDRITE; ENERGY; INFORMATION PROCESSING; MATHEMATICAL ANALYSIS; NERVE CONDUCTION; PRIORITY JOURNAL; SPATIAL SUMMATION; SYNAPTIC TRANSMISSION; BIOLOGICAL MODEL; COMPUTER SIMULATION; ENERGY METABOLISM; ENTROPY; INFORMATION SCIENCE; MATHEMATICS; NEOCORTEX; NERVE CELL; PHYSIOLOGY; SYNAPSE;

COMPUTER SIMULATION; ENERGY METABOLISM; ENTROPY; INFORMATION THEORY; MATHEMATICS; MODELS, NEUROLOGICAL; NEOCORTEX; NEURONS; SYNAPSES; SYNAPTIC TRANSMISSION;

EID: 0036616840     PISSN: 02706474     EISSN: None     Source Type: Journal    
DOI: 10.1523/jneurosci.22-11-04746.2002     Document Type: Article

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