Neural net using capacitive structures connecting output lines a

Details Neural net using capacitive structures connecting output lines a Neural net using capacitive structures connecting output lines a

1989-06-15

1992-09-08

Baker, Stephen M.

Electrical transmission or interconnection systems

Nonlinear reactor systems

Parametrons

307201, 364602, 364807, G06G 712, G06G 7184, G06J 100

Patent

active

051465426

ABSTRACT:
Neural nets using capacitive structures are adapted for construction in complementary metal-oxide-semiconductor integrated-circuit technology. Fully differential input amplifiers in each neural net layer apply their push-pull responses to synapse input signals via a pair of input lines. Each push-pull response is applied via a pair of capacitors of complementary capacitance values and an output line to the input of each of a plurality of non-linear output amplifiers in that neural net layer, which generate respective axon responses for that neural net layer. In certain of these neural nets, arrangements are made such that the capacitive structures are bilaterally responsive so that back-propagation calculations can be performed during training periods, to alter the relative values of capacitors in each pair thereof.

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