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2020 Fiscal Year Final Research Report

Development of Human-timescale Neural Circuits using Emerging Neuromorphic Devices

Research Project

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Project/Area Number 19K21083
Project/Area Number (Other) 18H05911 (2018)
Research Category

Grant-in-Aid for Research Activity Start-up

Allocation TypeMulti-year Fund (2019)
Single-year Grants (2018)
Review Section 0302:Electrical and electronic engineering and related fields
Research InstitutionNational Institute of Advanced Industrial Science and Technology

Principal Investigator

Stoliar Pablo  国立研究開発法人産業技術総合研究所, エレクトロニクス・製造領域, 主任研究員 (40824545)

Project Period (FY) 2018-08-24 – 2021-03-31
KeywordsArtificial neuron / Neuromorphic system / Mott materials / Jeffress model
Outline of Final Research Achievements

The results can be divided into 4 groups: (1) Study of the advantage of introducing innovative devices into neuromorphic systems. I demonstrated the use of ferroelectric devices to control the power dissipation during learning and to reduce the size of circuits operating at human timescales. I also demonstrated the use of Mott devices (a kind of semiconductors materials) to extend the operational range of artificial neurons. (2) Development of working neuromorphic systems based. In particular, I implemented several bioinspired functionalities, and a system that mimics the way humans and animals detects sound directionality. (3) I studied recurrent-neural neurons stability during learning. In particular, I studied the stability limits, connectivity requirements and learning time of a system to learn arbitrary sequences. (4) I develop and built instrumentation to support the project.

Free Research Field

Neuromorphic systems

Academic Significance and Societal Importance of the Research Achievements

AI using neuromorphic circuits is expected to be advantageous in size, speed, and energy. Nevertheless neuromorphic systems operating at human timecales are bulky and ineficient. Overall, this project studies how emerging devices can be more efficient roadmap for AI-human interaction.

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Published: 2022-01-27  

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