基于神经元mosfet的自学习神经网络LSI

1992 Symposium on VLSI Technology Digest of Technical Papers Pub Date : 1992-06-02 DOI:10.1109/VLSIT.1992.200660

T. Shibata, T. Ohmi

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引用次数: 17

摘要

讨论了一种模拟生物神经元功能的功能性MOS晶体管——神经元MOSFET (vMOS)。提出了一种利用神经元MOSFET构造具有自学习能力的神经网络lsi的方法。关键是突触连接的实现，它根据不同的学习算法改变其权重。此外，突触必须不受待机功耗的影响，并且要尽可能小。

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A self-learning neural-network LSI using neuron MOSFETs

A functional MOS transistor called a neuron MOSFET (vMOS) which simulates the function of biological neurons is discussed. A method of constructing neural network LSIs that have a self-learning capability using the neuron MOSFET is given. The key is the implementation of a synaptic connection which changes its weight according to various learning algorithms. In addition, the synapse must be free from standby power dissipation and be as small as possible.<>

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1992 Symposium on VLSI Technology Digest of Technical Papers

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