Title :
Stochastic resonance effects in Izhikevich neural system with spike-timing dependent plasticity
Author :
Sou Nobukawa;Haruhiko Nishimura
Author_Institution :
Department of Management Information Science, Fukui University of Technology, Fukui, Fukui, Japan
fDate :
7/1/2015 12:00:00 AM
Abstract :
Spike-timing dependent plasticity (STDP) can lead to the synchronous spike propagation with temporal spike coding information. Recently, it was reported that in a noisy environment like the actual brain, STDP may be made efficient by the effect of stochastic resonance (SR) in which the presence of noise helps a nonlinear system in amplifying a weak (under barrier) signal. However, previous studies ignored the variety of the spiking patterns and many factors of neuro dynamics. Thus, in order to prove the physiological possibility, it is necessary to demonstrate that this SR arises in the realistic cortical neural system. In this study, we evaluate this SR phenomenon in the physiological neural system described by Izhikevich neuron model and compare the characteristics among the different spiking patterns observed experimentally in the cortex, such as regular spiking, intrinsically bursting and chattering.
Keywords :
"Neurons","Biological neural networks","Brain modeling","Signal to noise ratio","Stochastic resonance"
Conference_Titel :
Society of Instrument and Control Engineers of Japan (SICE), 2015 54th Annual Conference of the
DOI :
10.1109/SICE.2015.7285324