STDP学習則を取り入れたパルス形ハードウェアモデル

抄録

The synaptic plasticity has important role of learning function of neurons. Reportedly, STDP (Spike Timing Dependent synaptic Plasticity) is generated between inputs of pre-synaptic neurons and backpropagation of the active potential from dendrites of post-synaptic neuron, as revealed by physiological experiments. The purpose of our research is construction of the hardware learning model with STDP-like learning rules. In this paper, we study on a Pulse-type Hardware Neuron Model (hereafter P-HNM) focused on a dendrite in order to make a Pulse-type Hardware Neural Network. As a result, we show that the P-HNM can mimic STDP characteristics of biological neuron.