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Neuromorphic system exploiting the intrinsic characteristics of memory cells

机译:利用记忆细胞内在特征的神经形态系统

摘要

A neuromorphic system comprises a set of at least one input neuron, a set of at least one output neuron and a synaptic network formed from a set of at least one variable-resistance memristive component, said synaptic network connecting at least one input neuron to at least one output neuron, the resistance of the at least one memristive component being adjusted by delivering to the synaptic network write pulses generated by the at least one input neuron, and return pulses generated by the at least one output neuron, the characteristics of the write and return pulses being deduced from the intrinsic characteristics of the at least one memristive component so that the combination of a write pulse and a return pulse in the at least one memristive component results in a modification of its resistance according to a learning rule chosen beforehand.
机译:神经形态系统包括一组至少一个输入神经元,一组至少一个输出神经元以及由一组至少一个可变电阻忆阻成分形成的突触网络,所述突触网络将至少一个输入神经元连接至至少一个。至少一种输出神经元,通过将至少一种输入神经元产生的写入脉冲和至少一种输出神经元产生的返回脉冲传递到突触网络,来调节至少一种忆阻成分的电阻。根据至少一个忆阻元件的固有特性推导和返回脉冲,使得至少一个忆阻元件中的写脉冲和返回脉冲的组合导致根据预先选择的学习规则改变其电阻。

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