Patent · US Active

Method for non-supervised learning in an artificial neural network based on memristive nanodevices, and artificial neural network implementing said method

US9189732B2 · kind B2 · utility

4Cited by

0References

16Claims

0Family size

Assignee

COMMISSARIAT A L'ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES · FR

Inventors

Olivier Bichler · Vieille-Église-en-Yvelines, FR
Christian Gamrat · Les Ulis, FR
Damien QUERLIOZ · Sceaux, FR

Key dates

Filing date	Jun 27, 2012
Grant date	Nov 17, 2015
Priority date	—
Expiry date	Jan 6, 2033

Classification

Technology area (CPC G)Physics
CPC primaryG11C11/54
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

An unsupervised learning method is provided implemented in an artificial neural network based on memristive devices. It consists notably in producing an increase in the conductance of a synapse when there is temporal overlap between a pre-synaptic pulse and a post-synaptic pulse and in decreasing its conductance on receipt of a post-synaptic pulse when there is no temporal overlap with a pre-synaptic pulse.

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