Patent · US Active

Neural network circuit and learning method thereof

US9818057B2 · kind B2 · utility

7Cited by
11References
8Claims
0Family size

Assignee

Inventors

Key dates

Filing dateJan 30, 2015
Grant dateNov 14, 2017
Priority date
Expiry dateFeb 3, 2036

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06N3/08
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

In a neural network circuit element, a neuron circuit includes a waveform generating circuit for generating an analog pulse voltage, and a switching pulse voltage which is input as a first input signal to another neural network circuit element; a synapse circuit is configured such that the analog pulse voltage generated in the neuron circuit of the neural network circuit element including the synapse circuit is input to a third terminal of a variable resistance element of the synapse circuit, for a permissible input period, in the first input signal from another neural network circuit element; and the synapse circuit is configured such that the resistance value of the variable resistance element is changed in response to an electric potential difference between a first terminal and the third terminal, which occurs depending on a magnitude of the analog pulse voltage for the permissible input period.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.