AN ARTIFICIAL NERVOUS SYSTEM VIA A SELF-SPIKING NEUROMORPHIC MECHANOSENSING APPROACH

Ph.D

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Bibliographic Details
Main Author:	LI SI
Other Authors:	MATERIALS SCIENCE AND ENGINEERING
Format:	Theses and Dissertations
Language:	English
Published:	2022
Subjects:	ferromagnetic composite, mechanosensor, self-spiking, linearity, mechine-learning, nervous system
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/228852
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Institution:	National University of Singapore
Language:	English

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record_format	dspace
spelling	sg-nus-scholar.10635-2288522022-07-19T18:00:18Z AN ARTIFICIAL NERVOUS SYSTEM VIA A SELF-SPIKING NEUROMORPHIC MECHANOSENSING APPROACH LI SI MATERIALS SCIENCE AND ENGINEERING Chee Keong Tee ferromagnetic composite, mechanosensor, self-spiking, linearity, mechine-learning, nervous system Ph.D DOCTOR OF PHILOSOPHY (CDE-ENG) 2022-07-19T18:00:18Z 2022-07-19T18:00:18Z 2022-01-23 Thesis LI SI (2022-01-23). AN ARTIFICIAL NERVOUS SYSTEM VIA A SELF-SPIKING NEUROMORPHIC MECHANOSENSING APPROACH. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/228852 0000-0003-0903-7312 en
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	ferromagnetic composite, mechanosensor, self-spiking, linearity, mechine-learning, nervous system
spellingShingle	ferromagnetic composite, mechanosensor, self-spiking, linearity, mechine-learning, nervous system LI SI AN ARTIFICIAL NERVOUS SYSTEM VIA A SELF-SPIKING NEUROMORPHIC MECHANOSENSING APPROACH
description	Ph.D
author2	MATERIALS SCIENCE AND ENGINEERING
author_facet	MATERIALS SCIENCE AND ENGINEERING LI SI
format	Theses and Dissertations
author	LI SI
author_sort	LI SI
title	AN ARTIFICIAL NERVOUS SYSTEM VIA A SELF-SPIKING NEUROMORPHIC MECHANOSENSING APPROACH
title_short	AN ARTIFICIAL NERVOUS SYSTEM VIA A SELF-SPIKING NEUROMORPHIC MECHANOSENSING APPROACH
title_full	AN ARTIFICIAL NERVOUS SYSTEM VIA A SELF-SPIKING NEUROMORPHIC MECHANOSENSING APPROACH
title_fullStr	AN ARTIFICIAL NERVOUS SYSTEM VIA A SELF-SPIKING NEUROMORPHIC MECHANOSENSING APPROACH
title_full_unstemmed	AN ARTIFICIAL NERVOUS SYSTEM VIA A SELF-SPIKING NEUROMORPHIC MECHANOSENSING APPROACH
title_sort	artificial nervous system via a self-spiking neuromorphic mechanosensing approach
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/228852
_version_	1738844777772744704

AN ARTIFICIAL NERVOUS SYSTEM VIA A SELF-SPIKING NEUROMORPHIC MECHANOSENSING APPROACH

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