Stochastic Resonance Effects in Izhikevich Neural System with Spike-timing Dependent Plasticity

Stochastic Resonance Effects in Izhikevich Neural System with Spike-timing Dependent Plasticity
复制标题

具有尖峰时间依赖性可塑性的 Izhikevich 神经系统中的随机共振效应

DOI:
10.1109/sice.2015.7285324
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发表时间:
2015
期刊:
Proceedings of SICE Annual Conference (SICE2015)
影响因子:
--
通讯作者:
H. Nishimura
H. Nishimura
中科院分区:
--
文献类型:
--
作者:
S. Nobukawa;H. Nishimura

文献摘要

相似文献

棘波时间相关可塑性(STDP)可以导致具有时间棘波编码信息的同步棘波传播。最近,有报道称,在像实际大脑这样的噪声环境中,STDP可以通过随机共振(SR)效应而变得有效,在SR中,噪声的存在有助于非线性系统放大微弱的(屏障下)信号。然而,以往的研究忽略了放电模式的多样性和神经动力学的许多因素。因此,为了证明生理上的可能性,有必要证明这种SR发生在现实的大脑皮层神经系统中。在这项研究中,我们在Izhikevich神经元模型描述的生理神经系统中评估了这种SR现象,并比较了实验观察到的大脑皮层不同尖峰模式之间的特征,如规则尖峰、内在爆发和颤抖。
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.