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A Marr's Three‐Level Analytical Framework for Neuromorphic Electronic Systems

Yuzheng Guo Orcid Logo, Xiaolong Zou, Yifan Hu, Yifei Yang, Xinxin Wang, Yuhan He, Ruikai Kong, Yuzheng Guo, Guoqi Li, Wei Zhang, Si Wu, Huanglong Li

Advanced Intelligent Systems, Volume: 3, Issue: 11, Pages: 2100054 - 2100054

Swansea University Author: Yuzheng Guo Orcid Logo

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DOI (Published version): 10.1002/aisy.202100054

Abstract

Neuromorphic electronics, an emerging field that aims for building electronic mimics of the biological brain, holds promise for reshaping the frontiers of information technology and enabling a more intelligent and efficient computing paradigm. As their biological brain counterpart, the neuromorphic...

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Published in: Advanced Intelligent Systems
ISSN: 2640-4567 2640-4567
Published: Wiley 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa58919
first_indexed 2021-12-06T13:44:56Z
last_indexed 2022-01-01T04:25:20Z
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spelling 2021-12-31T10:33:39.3322705 v2 58919 2021-12-06 A Marr's Three‐Level Analytical Framework for Neuromorphic Electronic Systems 2c285ab01f88f7ecb25a3aacabee52ea 0000-0003-2656-0340 Yuzheng Guo Yuzheng Guo true false 2021-12-06 ACEM Neuromorphic electronics, an emerging field that aims for building electronic mimics of the biological brain, holds promise for reshaping the frontiers of information technology and enabling a more intelligent and efficient computing paradigm. As their biological brain counterpart, the neuromorphic electronic systems are complex, having multiple levels of organization. Inspired by David Marr's famous three-level analytical framework developed for neuroscience, the advances in neuromorphic electronic systems are selectively surveyed and given significance to these research endeavors as appropriate from the computational level, algorithmic level, or implementation level. Under this framework, the problem of how to build a neuromorphic electronic system is defined in a tractable way. In conclusion, the development of neuromorphic electronic systems confronts a similar challenge to the one neuroscience confronts, that is, the limited constructability of the low-level knowledge (implementations and algorithms) to achieve high-level brain-like (human-level) computational functions. An opportunity arises from the communication among different levels and their codesign. Neuroscience lab-on-neuromorphic chip platforms offer additional opportunity for mutual benefit between the two disciplines. Journal Article Advanced Intelligent Systems 3 11 2100054 2100054 Wiley 2640-4567 2640-4567 algorithm levels; codesigns; computational levels; David Marr; implementation levels; neuromorphics; three-level analytical frameworks 22 11 2021 2021-11-22 10.1002/aisy.202100054 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University National Natural Science Foundation of China. Grant Numbers: 61974082, 61704096, 61836004; Youth Elite Scientist Sponsorship (YESS) Program of China Association for Science and Technology (CAST). Grant Number: 2019QNRC001; Supercomputing Wales. Grant Number: scw1070; National Key R&D Program of China. Grant Number: 2018YFE0200200; Tsinghua-IDG/McGovern Brain-X Program, Beijing Science and Technology Program. Grant Numbers: Z181100001518006, Z191100007519009, 2016SZ0102; CETC Haikang Group-Brain Inspired Computing Joint Research Center 2021-12-31T10:33:39.3322705 2021-12-06T13:41:58.0034695 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - General Engineering Yuzheng Guo 0000-0003-2656-0340 1 Xiaolong Zou 2 Yifan Hu 3 Yifei Yang 4 Xinxin Wang 5 Yuhan He 6 Ruikai Kong 7 Yuzheng Guo 8 Guoqi Li 9 Wei Zhang 10 Si Wu 11 Huanglong Li 12 58919__21809__89d1a0c0b436494ca18857669b100cbb.pdf 58919.pdf 2021-12-06T13:43:59.9690745 Output 5098256 application/pdf Version of Record true © 2021 The Authors. Advanced Intelligent Systems published by Wiley-VCH GmbH This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. true eng http://creativecommons.org/licenses/by/4.0/
title A Marr's Three‐Level Analytical Framework for Neuromorphic Electronic Systems
spellingShingle A Marr's Three‐Level Analytical Framework for Neuromorphic Electronic Systems
Yuzheng Guo
title_short A Marr's Three‐Level Analytical Framework for Neuromorphic Electronic Systems
title_full A Marr's Three‐Level Analytical Framework for Neuromorphic Electronic Systems
title_fullStr A Marr's Three‐Level Analytical Framework for Neuromorphic Electronic Systems
title_full_unstemmed A Marr's Three‐Level Analytical Framework for Neuromorphic Electronic Systems
title_sort A Marr's Three‐Level Analytical Framework for Neuromorphic Electronic Systems
author_id_str_mv 2c285ab01f88f7ecb25a3aacabee52ea
author_id_fullname_str_mv 2c285ab01f88f7ecb25a3aacabee52ea_***_Yuzheng Guo
author Yuzheng Guo
author2 Yuzheng Guo
Xiaolong Zou
Yifan Hu
Yifei Yang
Xinxin Wang
Yuhan He
Ruikai Kong
Yuzheng Guo
Guoqi Li
Wei Zhang
Si Wu
Huanglong Li
format Journal article
container_title Advanced Intelligent Systems
container_volume 3
container_issue 11
container_start_page 2100054
publishDate 2021
institution Swansea University
issn 2640-4567
2640-4567
doi_str_mv 10.1002/aisy.202100054
publisher Wiley
college_str Faculty of Science and Engineering
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hierarchy_parent_id facultyofscienceandengineering
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department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - General Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - General Engineering
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description Neuromorphic electronics, an emerging field that aims for building electronic mimics of the biological brain, holds promise for reshaping the frontiers of information technology and enabling a more intelligent and efficient computing paradigm. As their biological brain counterpart, the neuromorphic electronic systems are complex, having multiple levels of organization. Inspired by David Marr's famous three-level analytical framework developed for neuroscience, the advances in neuromorphic electronic systems are selectively surveyed and given significance to these research endeavors as appropriate from the computational level, algorithmic level, or implementation level. Under this framework, the problem of how to build a neuromorphic electronic system is defined in a tractable way. In conclusion, the development of neuromorphic electronic systems confronts a similar challenge to the one neuroscience confronts, that is, the limited constructability of the low-level knowledge (implementations and algorithms) to achieve high-level brain-like (human-level) computational functions. An opportunity arises from the communication among different levels and their codesign. Neuroscience lab-on-neuromorphic chip platforms offer additional opportunity for mutual benefit between the two disciplines.
published_date 2021-11-22T14:11:33Z
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