Ferrelectric adaptive-learning type product-sum operation circui

Electronic digital logic circuitry – Multifunctional or programmable – Array

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326112, 257295, 365145, H01L 29772, G11C 1122, H03K 19094

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active

055198120

ABSTRACT:
The present invention relates to a product-sum operation circuit element and a circuit for addition by weighting a number of signals input in one neuron circuit in a neural network, and can provide an adaptive-learning neuron circuit for changing an interval of output pulses by learning by connecting a simple pulse generating circuit consisting of capacitance, resistance, unijunction transistor and the like.
A product-sum operation circuit element according to the present invention, includes an insulator substrate, a single crystal semiconductor thin film having a p-n-p or n-p-n structure in a lateral direction formed in the shape of stripes on the insulator substrate, a ferroelectric thin film deposited thereon for covering at least the semiconductor stripe structure, and a stripe-like electrode consisting of a metal or a polycrystalline semiconductor further formed thereon for intersecting the semiconductor stripes at a right angle or suitable angle.

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Ishiwara, H., "A Proposal of Self-Learning Neuron Circuits with High-Density Synapse Connections of Ferroelectric Thin Films", Int. Conf. on Solid State Devices & Materials (Aug., 1992) pp. 689-690.
Gekkan Semiconductor World, vol. 11, (Jan. 1992) pp. 98-101.

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