Publication Type : Conference Paper
Thematic Areas : Biotech, Learning-Technologies, Medical Sciences
Publisher : Proceedings of the 2014 International Conference on Interdisciplinary Advances in Applied Computing, ACM, Amrita Vishwa Vidyapeetham, Coimbatore, India .
Source : Proceedings of the 2014 International Conference on Interdisciplinary Advances in Applied Computing, ACM, Amrita Vishwa Vidyapeetham, Coimbatore, India (2014)
Url : http://doi.acm.org/10.1145/2660859.2660961
ISBN : 9781450329088
Keywords : Computational neuroscience, Integrate and Fire Model
Campus : Amritapuri
School : School of Biotechnology
Center : Computational Neuroscience and Neurophysiology, Amrita Mind Brain Center, Biotechnology
Department : biotechnology, Computational Neuroscience Laboratory
Year : 2014
Abstract : Simple spiking models have been known to replicate detailed mathematical models firing properties with reliable accuracy in spike timing. We modified the adaptive exponential integrate and fire mathematical model to reconstruct different cerebellar neuronal firing patterns. We were able to reconstruct the firing dynamics of various types of cerebellar neurons and validated with previously published experimental studies. To model the neurons, we exploited particle swarm optimization to fit the parameters. The study showcases the match of electroresponsiveness of the neuronal models to data from biological neurons. Results suggest that models are close reconstructions of the biological data since frequency and spike-timing closely matched known values and were similar to those in previously published detailed computationally intensive biophysical models. Such spiking models have a number of applications including design of large-scale circuit models in order to understand physiological dysfunction and for various computational advantages.
Cite this Research Publication : Chaitanya Medini, Asha Vijayan, Egidio D'Angelo, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Computationally Efficient Bio-realistic Reconstructions of Cerebellar Neuron Spiking Patterns”, in Proceedings of the 2014 International Conference on Interdisciplinary Advances in Applied Computing, Amrita Vishwa Vidyapeetham, Coimbatore, India, 2014.
