Electrical transmission or interconnection systems – Nonlinear reactor systems – Parametrons
Patent
1989-04-25
1990-10-02
Miller, Stanley D.
Electrical transmission or interconnection systems
Nonlinear reactor systems
Parametrons
307585, 3072723, 365163, G06G 712, H03K 3027, H03K 1920, G11C 2702
Patent
active
049610058
ABSTRACT:
The present invention is a neural network circuit including a plurality of neuron circuits. Each neuron circuit has an input node for receiving an input signal, an output node for generating an output signal and a self-feedback control node for receiving a self-feedback signal. An interconnection device having an electrically controllable conductance is connected between the input nodes of each pair of neuron circuits. The neural network circuit is consequently programmable via the voltages applied to the self-feedback control nodes and the interconnection devices. Such programmability permits the neural network circuit to store certain sets of desirable steady states. In the preferred embodiment the individual neuron circuits and the interconnection devices are constructed in very large scale integration CMOS. Thus this neural network circuit can be easily constructed with large numbers of neurons.
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J. J. Hopfield et al., IEEE Transactions on Circuits and Systems, vol. CAS-33. No. 5, (1986), pp. 533-541.
Bertelson David R.
Board of Trustees operating Michigan State University
McLeod Ian C.
Miller Stanley D.
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