Balanced Excitatory and Inhibitory Synaptic Currents Promote Efficient Coding and Metabolic Efficiency

PLoS Computational Biology

Volumn 9, Issue 10, 2013, Pages

  Sengupta, Biswa ^a,b   Laughlin, Simon B ^c   Niven, Jeremy E ^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

CODES (SYMBOLS); COMPUTATION THEORY; ENERGY UTILIZATION; NEURONS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

'CURRENT; CODING EFFICIENCY; COMPUTATIONAL MODELLING; CONTROL BANDWIDTH; CONTROL FIELDS; CORTICAL NEURONS; ENERGY-CONSUMPTION; FIELD STRUCTURES; IN-VIVO; RECEPTIVE FIELDS;

ENERGY EFFICIENCY;

ION CHANNEL;

ARTICLE; BRAIN CELL; BRAIN FUNCTION; CHANNEL GATING; COMPUTER MODEL; CONTROLLED STUDY; ENERGY CONSUMPTION; ENERGY METABOLISM; EXCITATORY POSTSYNAPTIC POTENTIAL; INHIBITORY POSTSYNAPTIC POTENTIAL; NERVE CELL MEMBRANE POTENTIAL; NERVE FIBER MEMBRANE CONDUCTANCE; SPIKE WAVE; STOCHASTIC MODEL; SYNAPTIC POTENTIAL; SYNAPTIC TRANSMISSION;

ACTION POTENTIALS; CEREBRAL CORTEX; COMPUTER SIMULATION; HUMANS; MODELS, NEUROLOGICAL; NEURONS; SYNAPSES; SYNAPTIC TRANSMISSION;

EID: 84887311157     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003263     Document Type: Article

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