Recurrent network models for perfect temporal integration of fluctuating correlated inputs

PLoS Computational Biology

Volumn 5, Issue 6, 2009, Pages

  Okamoto, Hiroshi ^a,b   Fukai, Tomoki ^a,c  

^a RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^b FUJI XEROX CO LTD   (Japan)

^c UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

INTEGRATION; NEURONS;

BEHAVIORAL PROCESS; COGNITIVE PROCESS; CORTICAL NEURONS; NETWORK MODELS; NEURAL INTEGRATORS; NEURAL MECHANISMS; NEURONAL ACTIVITIES; RECURRENT NETWORKS; SYNAPTIC INPUT; TEMPORAL INTEGRATION;

BRAIN;

ARTICLE; BRAIN CELL; CONTROLLED STUDY; INTEGRATION; MATHEMATICAL MODEL; NERVE CELL NETWORK; PROBABILITY; SPIKE WAVE; SYNAPTIC TRANSMISSION; VARIANCE; ACTION POTENTIAL; ALGORITHM; ANIMAL; BIOLOGICAL MODEL; BRAIN CORTEX; COMPUTER SIMULATION; CYTOLOGY; NERVE CELL; PHYSIOLOGY; SYNAPSE; SYNAPTIC POTENTIAL; TIME;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; CEREBRAL CORTEX; COMPUTER SIMULATION; MODELS, NEUROLOGICAL; NERVE NET; NEURONS; SYNAPSES; SYNAPTIC POTENTIALS; TIME;

EID: 67650866699     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000404     Document Type: Article

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