ModelDB: Interaural time difference detection by slowly integrating neurons (Vasilkov Tikidji-Hamburyan 2012)

Interaural time difference detection by slowly integrating neurons (Vasilkov Tikidji-Hamburyan 2012)

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Accession:150445

For localization of a sound source, animals and humans process the microsecond interaural time differences of arriving sound waves. How nervous systems, consisting of elements with time constants of about and more than 1 ms, can reach such high precision is still an open question. This model shows that population of 10000 slowly integrating Hodgkin-Huxley neurons with inhibitory and excitatory inputs (EI neurons) can detect minute temporal disparities in input signals which are significantly less than any time constant in the system.
Reference:
1 . Vasilkov VA, Tikidji-Hamburyan RA (2012) Accurate detection of interaural time differences by a population of slowly integrating neurons. Phys Rev Lett 108:138104 [PubMed]

Model Information (Click on a link to find other models with that property)

Model Type:	Realistic Network;
Brain Region(s)/Organism:	Auditory brainstem;
Cell Type(s):	Hodgkin-Huxley neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:	NEURON;
Model Concept(s):	Audition;
Implementer(s):	Tikidji-Hamburyan, Ruben [ruben.tikidji.hamburyan at gmail.com] ; Vasilkov, Viacheslav [vasilkov.va at gmail.com];