Publication Type:

Conference Paper

Source:

Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010, Changsha, p.1495-1503 (2010)

ISBN:

9781424464388

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-78650604395&partnerID=40&md5=a937cdf46a04648faabe420df6d8ffa8

Keywords:

Biophysical model, Computation theory, Granular layer, In-vitro, Information transmission, Inhibition, Input signal, Large networks, Modelling, network, Network layers, Neuron model, Plasticity, Recoding, Spatiotemporal information, Spike amplitudes, Synaptic plasticity, Time windows

Abstract:

The cerebellum input stage has been known to perform combinatorial operations [1] [3] 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] [2]. We also developed simple neuron models for abstracting timing phenomena in large networks. 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 L TP 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. © 2010 IEEE.

Notes:

cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@363e061 ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@12200204 Through org.apache.xalan.xsltc.dom.DOMAdapter@73645de7; Conference Code:83128

Cite this Research Publication

C. Medini, Subramaniyam, S., Nair, B., and Dr. Diwakar, S., “Modeling cerebellar granular layer excitability and combinatorial computation with spikes”, in Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010, Changsha, 2010, pp. 1495-1503.