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.

Date of Patent:
Nov. 18, 2025

Filed:

Dec. 11, 2019
Applicants:

Centre National DE LA Recherche Scientifique, Paris, FR;

Universite Cote D'azur (Uca), Nice, FR;

Ecole Nationale Superieure DE L'electronique ET DE Ses Applications (Ensea), Cergy Pontoise, FR;

CY Cergy Paris Universite, Cergy Pontoise, FR;

Inventors:

Benoît Miramond, Antibes, FR;

Laurent Rodriguez, Le Cannet, FR;

Lyes Khacef, Nice, FR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/063 (2023.01); G06N 3/049 (2023.01); G06N 3/088 (2023.01);
U.S. Cl.
CPC ...
G06N 3/063 (2013.01); G06N 3/049 (2013.01); G06N 3/088 (2013.01);
Abstract

A neuromorphic computing system configured to be trained using unsupervised learning through distributed computing circuits. The neuromorphic computing system comprises an artificial neural network implemented as a grid of locally connected cells wherein each cell comprises hardware components for neural computing and storage, and is connected to its direct closest neighbors. The neuromorphic computing system comprises a clock system providing periodic active clock edges allowing in each cell to simultaneously and synchronously compute the neuron's Euclidean distance to the input, then compute the Best Matching Unit and the Manhattan distance to it in multiple clock cycles based on a time to Manhattan distance transformation, and finally update the neuron's weights.


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