Synaptic CMOS transistor

Neuromorphic systems inspired by the brain have gained much popularity in the computing world for its potential energy-efficient computation. To fully realisse a developed neuromorphic hardware application, large-scale integration of artificial synapses onto a single computing chip is required. In t...

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Bibliographic Details
Main Author: Chai, Zhen Hong
Other Authors: Ang Diing Shenp
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/139089
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author Chai, Zhen Hong
author2 Ang Diing Shenp
author_facet Ang Diing Shenp
Chai, Zhen Hong
author_sort Chai, Zhen Hong
collection NTU
description Neuromorphic systems inspired by the brain have gained much popularity in the computing world for its potential energy-efficient computation. To fully realisse a developed neuromorphic hardware application, large-scale integration of artificial synapses onto a single computing chip is required. In this work, electrical measurements were conducted on commercial level TiN/HfO2 gated n-channel MOSFET transistor (with an equivalent oxide thickness of 1.7nm) to demonstrate that it can exhibit some critical synaptic characteristics of a biological synapse such as excitatory and inhibitory postsynaptic current (EPSC and IPSC), short-term plasticity (STP) and long-term potentiation (LTP), metaplasticity, and spike timing dependent plasticity (STDP). The mechanism behind the output characteristic of MOSFET to exhibit synaptic-like response is the charge trapping and de-trapping at defects in the oxide and oxide/semiconductor interface. The readily available CMOS transistor can be a potential fundamental building block for an artificial neural network to drive towards a commercialised neuromorphic system.
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spelling ntu-10356/1390892023-07-07T18:45:58Z Synaptic CMOS transistor Chai, Zhen Hong Ang Diing Shenp School of Electrical and Electronic Engineering edsang@ntu.edu.sg Engineering::Electrical and electronic engineering Neuromorphic systems inspired by the brain have gained much popularity in the computing world for its potential energy-efficient computation. To fully realisse a developed neuromorphic hardware application, large-scale integration of artificial synapses onto a single computing chip is required. In this work, electrical measurements were conducted on commercial level TiN/HfO2 gated n-channel MOSFET transistor (with an equivalent oxide thickness of 1.7nm) to demonstrate that it can exhibit some critical synaptic characteristics of a biological synapse such as excitatory and inhibitory postsynaptic current (EPSC and IPSC), short-term plasticity (STP) and long-term potentiation (LTP), metaplasticity, and spike timing dependent plasticity (STDP). The mechanism behind the output characteristic of MOSFET to exhibit synaptic-like response is the charge trapping and de-trapping at defects in the oxide and oxide/semiconductor interface. The readily available CMOS transistor can be a potential fundamental building block for an artificial neural network to drive towards a commercialised neuromorphic system. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-15T05:59:43Z 2020-05-15T05:59:43Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/139089 en A2016-191 application/pdf Nanyang Technological University
spellingShingle Engineering::Electrical and electronic engineering
Chai, Zhen Hong
Synaptic CMOS transistor
title Synaptic CMOS transistor
title_full Synaptic CMOS transistor
title_fullStr Synaptic CMOS transistor
title_full_unstemmed Synaptic CMOS transistor
title_short Synaptic CMOS transistor
title_sort synaptic cmos transistor
topic Engineering::Electrical and electronic engineering
url https://hdl.handle.net/10356/139089
work_keys_str_mv AT chaizhenhong synapticcmostransistor