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Modeling Basal Ganglia Microcircuits using Spiking Neurons

Publication Type : Conference Paper

Thematic Areas : Learning-Technologies, Medical Sciences, Biotech

Publisher : IEEE

Source : 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE, Jaipur, India (2016)

Url : https://ieeexplore.ieee.org/document/7732383/?denied

Keywords : Action selection, Basal ganglia, basal ganglia microcircuits, Brain, Brain modeling, cerebellum, cognition, cognitive brain functions, computational modeling, Computational neuroscience, cortex, cortical areas, Diseases, emotional-motivational brain functions, Firing, functional architecture, global pallidus externa, Integrated circuit modeling, mathematical model, neural nets, neuronal populations, Neurons, pallidum form, Parkinsons disease, sensorimotor brain functions, spike transmission, spiking models, spiking neurons, substantia nigra, subthalamic nucleus, thalamic regions, thalamus, voluntary motor movements

Campus : Amritapuri

School : School of Biotechnology, School of Engineering

Center : Amrita Mind Brain Center, Computational Neuroscience and Neurophysiology

Department : Computer Science, biotechnology, Sciences

Year : 2016

Abstract : Basal ganglia and cerebellum have been implicated in critical roles related to control of voluntary motor movements for action selection and cognition. Basal ganglia primarily receive inputs from cortical areas as well as thalamic regions, and their functional architecture is parallel in nature which link several brain regions like cortex and thalamus. Striatum, substantia nigra, pallidum form different neuronal populations in basal ganglia circuit which were functionally distinct supporting sensorimotor, cognitive and emotional-motivational brain functions. In this paper, we have modelled and simulated basal ganglia neurons as well as basal ganglia circuit using integrate and fire neurons. Firing behaviour of subthalamic nucleus and global pallidus externa show how they modulate spike transmission in the circuit and could be used to model circuit dysfunctions in Parkinson's disease.

Cite this Research Publication : Chaitanya Medini, Anjitha Thekkekuriyadi, Surya Thayyilekandi, Manjusha Nair, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Modeling basal ganglia microcircuits using spiking neurons”, in Proceedings of 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI 2016), Jaipur, India, Sept 21-24,2016.

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