Method for unsupervised sorting in real time of action potentials of a plurality of biological neurons

US11348011B2 · kind B2 · utility

Assignees

• COMMISSARIAT A L'ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES · FR
• Institut National de la Sante et de la Recherche Medicale (INSERM) · FR

Inventors

• Marie Bernert · Grenoble, FR
• Elisa VIANELLO · Grenoble, FR
• Blaise Yvert · Floirac, FR

Key dates

• Filing date: May 18, 2017
• Grant date: May 31, 2022
• Expiry date: Dec 31, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G16H50/20
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

A method for unsupervised sorting, in real time, of action potentials of biological neurons by a network of artificial neurons including input, intermediate and output layers, the method according to which: the input layer receives an electrical signal measuring an electrical activity of biological neurons, the electrical signal having a variable amplitude as a function of action potentials emitted by the plurality of biological neurons over time; the input layer converts the amplitude of the electrical signal into a train of first spikes; the input layer transmits the train of first spikes to the intermediate layer; the intermediate layer converts the train of first spikes into a train of second spikes; the intermediate layer transmits the train of second spikes to the output layer; as a function of the train of second spikes, the output layer sorts each occurrence of each type of action potential present in the electrical signal.