Consequences of Converting Graded to Action Potentials upon Neural Information Coding and Energy Efficiency

PLoS Computational Biology

Volumn 10, Issue 1, 2014, Pages

  Sengupta, Biswa ^a,b   Laughlin, Simon Barry ^c   Niven, Jeremy Edward ^d  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b INDIAN INSTITUTE OF SCIENCE   (India)

^c UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^d UNIVERSITY OF SUSSEX   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COSTS; ELECTROPHYSIOLOGY; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

ACTION-POTENTIALS; INFORMATION CODING; INFORMATION LOSS; INFORMATION RATES; NA+ CHANNEL; NEURAL CIRCUITS; NEURAL INFORMATION; ORDERS OF MAGNITUDE; SINGLE NEURON; SPIKE TRAIN;

ENERGY EFFICIENCY;

VOLTAGE GATED POTASSIUM CHANNEL; VOLTAGE GATED SODIUM CHANNEL;

ACCURACY; ACTION POTENTIAL; ANTIDROMIC STIMULATION; ARTICLE; BIOTRANSFORMATION; CELL ACTIVITY; CODING; CONTROLLED STUDY; ENERGY CONSUMPTION; ENERGY CONVERSION; ENERGY EFFICIENCY; MOLECULAR DYNAMICS; MOLECULAR MODEL; NERVE CONDUCTION; NEURAL INFORMATION CODING; NEUROTRANSMISSION; NONLINEAR SYSTEM; PHYSICAL PHENOMENA; SIGNAL DETECTION; SIGNAL NOISE RATIO; SPIKE WAVE; STIMULUS RESPONSE;

ACTION POTENTIALS; ALGORITHMS; CELL SIZE; ELECTROPHYSIOLOGICAL PHENOMENA; ENERGY METABOLISM; HUMANS; LINEAR MODELS; MODELS, NEUROLOGICAL; NERVE NET; NEURONS; POTASSIUM CHANNELS, VOLTAGE-GATED; STOCHASTIC PROCESSES; VOLTAGE-GATED SODIUM CHANNELS;

EID: 84896721161     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003439     Document Type: Article

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