A population density approach that facilitates large-scale modeling of neural networks: Extension to slow inhibitory synapses

Neural Computation

Volumn 13, Issue 3, 2001, Pages 511-546

  Nykamp, Duane Q ^a,b   Tranchina, Daniel ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; CYTOLOGY; ELECTRIC CONDUCTIVITY; EXCITATORY POSTSYNAPTIC POTENTIAL; NERVE CELL; NERVE CELL INHIBITION; PHYSIOLOGY; SYNAPSE; VISUAL CORTEX;

ANIMALS; ELECTRIC CONDUCTIVITY; EXCITATORY POSTSYNAPTIC POTENTIALS; MODELS, NEUROLOGICAL; NEURAL INHIBITION; NEURAL NETWORKS (COMPUTER); NEURONS; SYNAPSES; VISUAL CORTEX;

EID: 0035289566     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976601300014448     Document Type: Article

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