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
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;
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
DOI :
10.1109/ICE-CCN.2013.6528592
