The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 07, 2014
Filed:
Apr. 08, 2011
Bernard V. Brezzo, Somers, NY (US);
Leland Chang, New York, NY (US);
Steven K. Esser, San Jose, CA (US);
Daniel J. Friedman, Sleepy Hollow, NY (US);
Yong Liu, Rye, NY (US);
Dharmendra S. Modha, San Jose, CA (US);
Robert K. Montoye, Rochester, MN (US);
Bipin Rajendran, White Plains, NY (US);
Jae-sun Seo, White Plains, NY (US);
Jose A. Tierno, Stamford, CT (US);
Bernard V. Brezzo, Somers, NY (US);
Leland Chang, New York, NY (US);
Steven K. Esser, San Jose, CA (US);
Daniel J. Friedman, Sleepy Hollow, NY (US);
Yong Liu, Rye, NY (US);
Dharmendra S. Modha, San Jose, CA (US);
Robert K. Montoye, Rochester, MN (US);
Bipin Rajendran, White Plains, NY (US);
Jae-sun Seo, White Plains, NY (US);
Jose A. Tierno, Stamford, CT (US);
International Business Machines Corporation, Armonk, NY (US);
Abstract
A reconfigurable neural network circuit is provided. The reconfigurable neural network circuit comprises an electronic synapse array including multiple synapses interconnecting a plurality of digital electronic neurons. Each neuron comprises an integrator that integrates input spikes and generates a signal when the integrated inputs exceed a threshold. The circuit further comprises a control module for reconfiguring the synapse array. The control module comprises a global final state machine that controls timing for operation of the circuit, and a priority encoder that allows spiking neurons to sequentially access the synapse array.