Publication Type:

Conference Paper

Source:

Cinquième conférence plénière française de Neurosciences Computationnelles,'Neurocomp'10' (2010)

URL:

http://hal.archives-ouvertes.fr/hal-00553408/

Abstract:

<p>The cerebellum input stage has been known to perform spatio-temporal transformations and combinatorial operations [1] [2] on input signals. In this paper, we developed a model to study information transmission and signal recoding in the cerebellar granular layer and to test observations like center-surround organization and time-window hypothesis [1] [3]. Detailed biophysical models were used to study synaptic plasticity and its effect in generation and modulation of spikes in the granular layer network. Our results indicated that spatio-temporal information transfer through the granular network is controlled by synaptic inhibition [1]. Spike amplitude and number of spikes were modulated by LTP and LTD. Both in vitro and in vivo simulations indicated that inhibitory input via Golgi cells acts as a modulator and regulates the post synaptic excitability.</p>

Cite this Research Publication

S. Subramaniyam, Chaitanya Medini, Dr. Bipin G. Nair, Dr. Shyam Diwakar, and , “Modeling spatio-temporal processing in cerebellar granular layer and effects of controlled inhibition on plasticity”, in Cinquième conférence plénière française de Neurosciences Computationnelles,'Neurocomp'10', 2010.

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