Invention Grant
- Patent Title: Self-organized solid-state synthetic neuronal structure
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Application No.: US15281174Application Date: 2016-09-30
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Publication No.: US10664747B2Publication Date: 2020-05-26
- Inventor: Dominic Lepage , Mohamed Chaker
- Applicant: Institut National de la Recherche Scientifique (INRS)
- Agency: Benoit & Côté Inc.
- Main IPC: G06N3/063
- IPC: G06N3/063 ; G06N3/04

Abstract:
A synthetic neuronal structure makes use of a semiconductor-metal phase transition material having material regions separated by discontinuities. The discontinuities represent interfaces such that different phases in two adjacent regions result in a metal-semiconductor interface. The interface supports a charge accumulation and a discharge of accumulated charge when an activation energy provided, for example, by electrical current, localized heating or optical energy, reaches a threshold necessary for breakdown of a potential barrier presented by the interface, and thus mimics a leaky integrate-and-fire neuron. With many such interfaces distributed through the structure, the local inputs to a neuron become a weighted sum of energy from neighboring neurons. Thus, different combinations of signals at one or more inputs connected to the structure will favor different neural pathways through the structure, thereby resulting in a neural network.
Public/Granted literature
- US20170098155A1 SELF-ORGANIZED SOLID-STATE SYNTHETIC NEURONAL STRUCTURE Public/Granted day:2017-04-06
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