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Titolo:
Coincidence detection in the Hodgkin-Huxley equations
Autore:
Marsalek, P;
Indirizzi:
Johns Hopkins Univ, Krieger Mind Brain Inst, Baltimore, MD 21218 USA JohnsHopkins Univ Baltimore MD USA 21218 n Inst, Baltimore, MD 21218 USA Charles Univ, Dept Pathol Physiol, CZ-12853 Prague, Czech Republic CharlesUniv Prague Czech Republic CZ-12853 12853 Prague, Czech Republic
Titolo Testata:
BIOSYSTEMS
fascicolo: 1-3, volume: 58, anno: 2000,
pagine: 83 - 91
SICI:
0303-2647(200010/12)58:1-3<83:CDITHE>2.0.ZU;2-L
Fonte:
ISI
Lingua:
ENG
Soggetto:
NUCLEUS; NEURONS;
Keywords:
coincidence detection; directional hearing; cochlear nuclei; leaky integrator; Hodgkin-Huxley equations; Morris-Lecar equations;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
11
Recensione:
Indirizzi per estratti:
Indirizzo: Marsalek, P Johns Hopkins Univ, Krieger Mind Brain Inst, 3400 N Charles St, Baltimore,MD 21218 USA Johns Hopkins Univ 3400 N Charles St Baltimore MD USA 21218 SA
Citazione:
P. Marsalek, "Coincidence detection in the Hodgkin-Huxley equations", BIOSYSTEMS, 58(1-3), 2000, pp. 83-91

Abstract

Some of the cochlear nuclei in the auditory pathway are specialized for the sound localization. They compute the interaural time difference. The difference in sound timing is transduced by the dedicated neuronal circuit intoa labeled line difference. The detector neurons along the delay line fire only when synaptic inputs reflecting signals from both ears arrive within ashort time window. It was therefore called coincidence detection. We show,(1) what are the limits of coincidence detection in the leaky integrator model, which is a linear system, (2) how should the ideal coincidence detector based on the Hodkin-Huxley equations from real neurons look like, (3) what are the properties and physical limits in the real coincidence detectionsystem. The conclusion is that the neuron with the Hodgkin-Huxley dynamicshas a fixed precision for the coincidence detection. The limits of the sound localization precision are set by the frequency of the sound and, therefore, by the vector strength of spike trains generated in the neuronal circuit in response to the sound. (C) 2000 Elsevier Science Ireland Ltd. All rights reserved.

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Documento generato il 11/08/20 alle ore 14:30:54