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Synchronous Spike Propagation in Izhikevich Neuron System with Spike-Timing Dependent Plasticity

机译:具有尖峰定时依赖性可塑性Izhikevich神经元系统的同步尖峰传播

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Recently spike-timing dependent plasticity (STDP) was discovered in the cerebral cortex and the hippocampus and modeled as STDP rules. On the other hand, Izhikevich neuron model was proposed to be able to reproduce the firing patterns observed experimentally. In this paper, it is found that the STDP process like a stochastic resonance phenomenon arises in Izhikevich neuron system which has some typical firing patterns such as regular spiking (RS), intrinsically bursting (IB) and chattering (CH). Under the optimum noise intensity, synaptic weights are potentiated according to each firing pattern of RS, IB and CH and signals can be propagated stably in this system. It is concluded that STDP with the noise can enhance the synchronous spike propagation.
机译:最近在脑皮层和海马中发现了穗定时依赖性塑性(STDP),并以STDP规则建模。另一方面,提出了Izhikevich神经元模型,以便能够再现实验所观察到的烧制模式。在本文中,发现STDP工艺像在Izhikevich神经元系统中出现了随机共振现象,其具有一些典型的烧制模式,例如常规尖峰(RS),本质上爆发(IB)和抖动(CH)。在最佳噪声强度下,根据RS的每个烧制模式,突触权重,IB和CH和信号可以在该系统中稳定地传播。结论是,具有噪声的STDP可以增强同步尖峰传播。

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