Patent · US Active

Learning method of neural network circuit

US8775346B2 · kind B2 · utility

4Cited by
2References
12Claims
0Family size

Assignee

Inventors

Key dates

Filing dateJul 25, 2013
Grant dateJul 8, 2014
Priority date
Expiry dateJul 25, 2033

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06N3/049
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A neuron circuit in a neural network circuit element includes a waveform generating circuit for generating a bipolar sawtooth pulse voltage, and a first input signal has a bipolar sawtooth pulse waveform. For a period during which the first input signal is permitted to be input to a first electrode of a variable resistance element, the bipolar sawtooth pulse voltage generated within the neural network circuit element including the variable resistance element which is applied with the first input signal from another neural network circuit element is input to a control electrode of the variable resistance element. The resistance value of the variable resistance element changes due to an electric potential difference between the first electrode and the control electrode, the electric potential difference being generated depending on an input timing difference between a voltage applied to the first electrode and the voltage applied to the control electrode.

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