SYNCHRONIZED NEURAL FIRING FOR CONTROLLING CYBER PHYSICAL SYSTEM

Authors

  • Ankush Rai School of Computing Science & Engineering, VIT University, Chennai, Tamil Nadu, India
  • Jagadeesh Kannan R School of Computing Science & Engineering, VIT University, Chennai, Tamil Nadu, India

DOI:

https://doi.org/10.22159/ajpcr.2017.v10s1.19686

Keywords:

Neuronal Plasticity, Neuronal Oscillations, Cyber Physical System, Control System

Abstract

Plasticity of the neurons and the synchronization features are essential to bring out the intelligence in a biological specimen. Thus, in this study we model the synchronistic behavior of neuronal firing to avail control system of cyber physical system. Also, a brief review of neuronal oscillations is also discussed

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References

Abeles M. Corticonics, Neural Circuits of the Cerebral Cortex.Cambridge, UK: Cambridge University Press; 1991.

Brunel N. Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons. J Comput Neurosci 2000;8(3):183-208.

Diesmann M, Gewaltig MO, Aertsen A. Stable propagation of synchronous spiking in cortical neural networks. Nature 1999;402(6761):529-33.

Diesmann M, Gewaltig MO, Aertsen A. SYNOD: An Environment for NeuralSystems Simulations, Technical Report GC-AA-/95-3. Tel Aviv: The Weizmann Institute of Science; 1995.

van Vreeswijk C, Sompolinsky H. Chaotic balanced state in a model of cortical circuits. Neural Comput 1998;10(6):1321-71.

Stroeve S, Gielen S. Correlation between uncoupled conductancebased integrate-and-fire neurons due to common and synchronous presynaptic firing. Neural Comput 2001;13(9):2005-29.

Mao BQ, Hamzei-Sichani F, Aronov D, Froemke RC, Yuste R. Dynamics of spontaneous activity in neocortical slices. Neuron

;32(5):883-98.

Luczak A, Barthó P, Marguet SL, Buzsáki G, Harris KD. Sequential structure of neocortical spontaneous activity in vivo. Proc Natl Acad Sci U S A 2007;104(1):347-52.

Lazar A, Pipa G, Triesch J. SORN: A self-organizing recurrent neural network. Front Comput Neurosci 2009;3:23.

Zheng P, Dimitrakakis C, Triesch J. Network self-organization explains the statistics and dynamics of synaptic connection strengths in cortex.PLoS Comput Biol 2013;9(1):e1002848.

Rai A, Ramanathan S. Distributed learning in networked controlled cyber physical system. Int J Pharm Technol 2016;8(3):18537-46.

Ankush R. Application of Artificial Intelligence for Virtually Assisted Prognosis of Diabetes: A NODDS Project. IJCA Proceedings on National Seminar on Application of Artificial Intelligence in Life Sciences 2013 NSAAILS (1): 1-5, February; 2013.

Rai A, Ramanathan S, Kannan RJ. Quasi Opportunistic Supercomputing for Geospatial Socially Networked Mobile Devices. Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE),2016 IEEE 25th International Conference on IEEE; 2016.

Rai A. Unsupervised probabilistic debugging. Recent Trends Program Lang 2015;12(3):14-6.

Published

01-04-2017

How to Cite

Rai, A., and J. K. R. “SYNCHRONIZED NEURAL FIRING FOR CONTROLLING CYBER PHYSICAL SYSTEM”. Asian Journal of Pharmaceutical and Clinical Research, vol. 10, no. 13, Apr. 2017, pp. 282-4, doi:10.22159/ajpcr.2017.v10s1.19686.

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