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Publication Type : Conference Paper
Thematic Areas : Learning-Technologies, Medical Sciences, Biotech
Publisher : Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010, Changsha.
Source : Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010, Changsha, p.1487-1494 (2010)
ISBN : 9781424464388
Keywords : Action Potentials, Brain, Cerebellar granule cells, Cerebellar granule neurons, cerebellum, Computation theory, Computational neuroscience, Data processing, Electrophysiology, Granulation, Granule cells, Information encoding, Information processing, Information transmission, Mathematical models, Parameter spaces, Plasticity, Process information, Spike amplitudes, Synaptic plasticity
Campus : Amritapuri
School : School of Biotechnology
Center : Amrita Mind Brain Center, Biotechnology, Computational Neuroscience and Neurophysiology
Department : Computational Neuroscience Laboratory, biotechnology
Year : 2010
Abstract : At the cellular scale, single-neurons process information mainly through spikes or action potentials . Although the types of synaptic plasticity and the range of times cales over which they operate suggest that synapses have a more active role in information processing, the parameter space still remains unexplored. We used a mathematical model of cerebellar granule cell to explore information transmission in mossy fibre - granule cell synapse of the cerebellum. The impact of plasticity changes in excitatory synaptic release probability and variation in intrinsic excitability of granule cell was studied combining the modulatory effects of inhibition. We explore the changes in pre and post synaptic factors and report their influence on first spike latency and spike amplitude, revealing the indicators of information encoding in individual neurons . © 2010 IEEE.
Cite this Research Publication : N. Abdulmanaph, P. James, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Characterizing information transmission in cerebellar granule neuron”, in Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010, Changsha, 2010, pp. 1487-1494.