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首页> 外文期刊>日本大学理工学研究所所报 >A Study on the Memory of Temporal Sequences Using a Pulse-type Hardware Neural Network with STDP
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A Study on the Memory of Temporal Sequences Using a Pulse-type Hardware Neural Network with STDP

机译:带有STDP的脉冲型硬件神经网络对时间序列记忆的研究

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Synaptic plasticity, which is dependent on the order of and interval between pre- and postsynaptic spikes (STDP: spike-timing-dependent synaptic plasticity), has recently been observed by physiological experiments. There are two types of STDP, one characterized by an asymmetric time window and the other by a symmetric time window (a Mexican hat type window). The literature reports that a Mexican-hat window participates in an inhibitory interneuron. In this study, we investigate the memory of temporal sequences using a pulse-type hardware neural network (P-HNN) with STDP (a Mexican-hat time window). Specifically, we propose the construction of a P-HNN with STDP. In addition, we examine the temporal sequence patterns which were stored by using a P-HNN with STDP. As a result, we show that a P-HNN with STDP stores temporal sequence output voltage patterns in a way that conforms to the temporal sequence input current patterns.
机译:最近通过生理学实验观察到突触可塑性,该突触可塑性取决于突触前和突触后突峰的顺序和间隔(STDP:依赖于突波时机的突触可塑性)。 STDP有两种类型,一种以非对称时间窗口为特征,另一种以对称时间窗口(墨西哥帽型窗口)为特征。文献报道墨西哥帽窗口参与了抑制性中间神经元。在这项研究中,我们使用带有STDP(墨西哥帽时间窗口)的脉冲型硬件神经网络(P-HNN)调查时间序列的存储。具体来说,我们建议使用STDP构建P-HNN。另外,我们检查了使用带有STDP的P-HNN存储的时间序列模式。结果,我们表明具有STDP的P-HNN以符合时间序列输入电流模式的方式存储时间序列输出电压模式。

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