Modeling synaptic transmission and quantifying information transfer in the granular layer of the cerebellum

Egidio D'Angelo, Thierry Nieus, Michele Bezzi, Angelo Arleo, Olivier J M D Coenen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Neurons communicate through spikes; their arrangement in different sequences generates the neural code. Spikes are transmitted between neurons via synapses; the mechanism underlying synaptic transmission involves numerous processes including neurotransmitter release and diffusion, postsynaptic receptor activation, and intrinsic electroresponsiveness. Based on available experimental data and theoretical considerations, we have developed a realistic model predicting the dynamics of neurotransmission at the mossy fiber - granule cell synapse of the cerebellum. The model permits systematic investigation of the multiple mechanisms regulating synaptic transmission and provides predictions on the role of the numerous factors driving synaptic plasticity. The model is also employed to quantify information transfer at the mossy fiber granule cell synaptic relay. This work was funded in part by the EU SpikeForce project (IST-2001-35271 www.spikeforce.org).

Original languageEnglish
Title of host publicationLecture Notes in Computer Science
EditorsJ. Cabestany, A. Prieto, F. Sandoval
Pages107-114
Number of pages8
Volume3512
Publication statusPublished - 2005
Event8th International Workshop on Artificial Neural Networks, IWANN 2005: Computational Intelligence and Bioinspired Systems - Vilanova i la Geltru, Spain
Duration: Jun 8 2005Jun 10 2005

Other

Other8th International Workshop on Artificial Neural Networks, IWANN 2005: Computational Intelligence and Bioinspired Systems
CountrySpain
CityVilanova i la Geltru
Period6/8/056/10/05

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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  • Cite this

    D'Angelo, E., Nieus, T., Bezzi, M., Arleo, A., & Coenen, O. J. M. D. (2005). Modeling synaptic transmission and quantifying information transfer in the granular layer of the cerebellum. In J. Cabestany, A. Prieto, & F. Sandoval (Eds.), Lecture Notes in Computer Science (Vol. 3512, pp. 107-114)