Harilal Parasuram, M.Sc.

Affiliations: 
2011- Amrita University, Ettimadai R.F., Tamil Nadu, India 
Area:
Cerebellum, LFP modeling
Website:
http://harilal.webs.com/
Google:
"Harilal Parasuram"
Bio:

Hari did his Masters in Bioinformatics from School Of Biotechnology, Amrita Vishwa Vidyapeetham, India. And now he is working as Senior Research Fellow and Ph.D student in Computational Neuroscience under the supervision of Prof. Shyam Diwakar at Amrita University. He studies, neuronal excitability in granular layer ensembles of the cerebellum by modeling local field potential (LFP)

Mean distance: 17.16 (cluster 11)
 
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Publications

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Parasuram H, Nair B, Naldi G, et al. (2018) Understanding Cerebellum Granular Layer Network Computations through Mathematical Reconstructions of Evoked Local Field Potentials. Annals of Neurosciences. 25: 11-24
Parasuram H, Nair B, D'Angelo E, et al. (2016) Computational Modeling of Single Neuron Extracellular Electric Potentials and Network Local Field Potentials using LFPsim. Frontiers in Computational Neuroscience. 10: 65
Parasuram H, Nair B, Naldi G, et al. (2015) Exploiting point source approximation on detailed neuronal models to reconstruct single neuron electric field and population LFP Proceedings of the International Joint Conference On Neural Networks. 2015
Diwakar S, Parasuram H, Medini C, et al. (2014) Complementing Neurophysiology Education for Developing Countries via Cost-Effective Virtual Labs: Case Studies and Classroom Scenarios. Journal of Undergraduate Neuroscience Education : June : a Publication of Fun, Faculty For Undergraduate Neuroscience. 12: A130-9
Parasuram H, Nair B, Naldi G, et al. (2011) A modeling based study on the origin and nature of evoked post-synaptic local field potentials in granular layer. Journal of Physiology, Paris. 105: 71-82
Parasuram H, Nair B, Achuthan K, et al. (2011) Taking project tiger to the classroom: A virtual lab case study Communications in Computer and Information Science. 191: 337-348
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