Feedback inhibition and throughput properties of an integrate-and-fire-or-burst network model of retinogeniculate transmission

Journal of Computational Neuroscience

Volumn 19, Issue 2, 2005, Pages 147-180

  Huertas, Marco A ^a   Groff, Jeffrey R ^a   Smith, Gregory D ^a  

^a Dept of Economics and Thomas Jefferson Program in Public Policy at the College of William and Mary   (United States)

Author keywords

Burst; Dorsal lateral geniculate nucleus; Integrate and fire; Perigeniculate nucleus; Thalamic reticular; Thalamocortical; Thalamus

Indexed keywords

BLOOD VESSELS; BRAIN; LOCKS (FASTENERS); NETWORK LAYERS; OPHTHALMOLOGY; THROUGHPUT;

BURST; DORSAL LATERAL GENICULATE NUCLEUS; FEEDBACK INHIBITION; INTEGRATE AND FIRES; LATERAL GENICULATE NUCLEUS; PERIGENICULATE NUCLEUS; PROPERTY; THALAMIC RETICULAR; THALAMOCORTICAL; THALAMUS;

NETWORK ARCHITECTURE;

ARTICLE; LATERAL GENICULATE BODY; MATHEMATICAL MODEL; NEGATIVE FEEDBACK; NERVE CELL NETWORK; NERVE POTENTIAL; NEUROMODULATION; NEUROTRANSMISSION; OSCILLATORY POTENTIAL; POTASSIUM CONDUCTANCE; PRIORITY JOURNAL; RETINA GANGLION CELL; SIMULATION; THALAMOCORTICAL TRACT; VISUAL STIMULATION;

EID: 24144487514     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10827-005-1084-6     Document Type: Article

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