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Reproducing the Firing Properties of a Cerebellum Deep Cerebellar Nucleus with a Multi Compartmental Morphologically Realistic Biophysical Model

Publication Type : Conference Paper

Thematic Areas : Learning-Technologies, Medical Sciences, Biotech

Publisher : Proceedings of the Seventh International Conference on Advances in Computing, Communications and Informatics (ICACCI-2018), Bangalore, Karnataka, India.

Source : Proceedings of the Seventh International Conference on Advances in Computing, Communications and Informatics (ICACCI-2018), Bangalore, Karnataka, India, Sept 19-22, 2018.

Url : https://ieeexplore.ieee.org/abstract/document/8554491/

Keywords : Cerebellum, Computational neuroscience, deep cerebellar nuclei, Mathematical modeling .

Campus : Amritapuri

School : School of Biotechnology

Center : Amrita Mind Brain Center, Biotechnology, Computational Neuroscience and Neurophysiology

Department : Computational Neuroscience Laboratory, biotechnology

Verified : Yes

Year : 2018

Abstract : Deep cerebellar nuclei (DCN) are central neurons attributed to determining the modulation in descending motor systems and considered as the final integrators of cerebellar information. A multi-compartmental morphologically realistic model of a DCN neuron was mathematically reconstructed with active ion channels as part of this study. The effect of inhibition from Purkinje neurons controls the excitatory outcome from a DCN. As a preliminary study, the spontaneous firing of DCN was reconstructed and other firing patterns were validated by applying current pulses using current clamp protocol. Effects of inhibition on constant excitation were analyzed to understand the modulation of firing properties of DCN. Simulations demonstrate that the inhibitory input can alter the temporal patterns in DCN and could modify sensory-tactile and other signals to interconnected motor circuits.

Cite this Research Publication : Presannan A, Rajendran A., Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Reproducing the firing properties of a cerebellum deep cerebellar nucleus with a multi compartmental morphologically realistic biophysical model”, in Proceedings of the Seventh International Conference on Advances in Computing, Communications and Informatics (ICACCI-2018), Bangalore, Karnataka, India, Sept 19-22, 2018.

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