DocumentCode
605912
Title
Classification of different neuron behavior by designing spiking neuron model
Author
Kumar, Ajit ; Kansal, S. ; Hanmandlu, M.
Author_Institution
Math. Dept., IIT Delhi, New Delhi, India
fYear
2013
fDate
25-26 March 2013
Firstpage
25
Lastpage
30
Abstract
We have presented a simple two equation model which produces the rich behavior of biological neurons, including tonic spiking, tonic bursting, mixed mode firing, spike frequency adaptation, resonator, integrator etc. Our model is capable of producing 19 different kinds of dynamics of real biological neuron. We have illustrated the richness and complexity of spiking behavior of individual neuron in response to simple pulses of dc current.
Keywords
neural nets; neurophysiology; pattern classification; biological neurons; neuron behavior classification; neuron spiking behavior complexity; spiking neuron model design; Adaptation models; Biological system modeling; Brain modeling; Computational modeling; Fires; Mathematical model; Neurons; Neuron; Neuron-computational features; Spike; Spike neuron model;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Trends in Computing, Communication and Nanotechnology (ICE-CCN), 2013 International Conference on
Conference_Location
Tirunelveli
Print_ISBN
978-1-4673-5037-2
Type
conf
DOI
10.1109/ICE-CCN.2013.6528592
Filename
6528592
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