Neuromorphic nanowire networks: principles, progress and future prospects for neuro-inspired information processing
Nanowire networks represent a unique class of neuromorphic systems. Their self-assembly confers a complex structure to their network circuitry, embedding a higher interconnectivity of resistive switching memory (memristive) cross-point junctions than can be achieved with top-down nanofabrication met...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2021-01-01
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| Series: | Advances in Physics: X |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/23746149.2021.1894234 |
| _version_ | 1819009268154630144 |
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| author | Zdenka Kuncic Tomonobu Nakayama |
| author_facet | Zdenka Kuncic Tomonobu Nakayama |
| author_sort | Zdenka Kuncic |
| collection | DOAJ |
| description | Nanowire networks represent a unique class of neuromorphic systems. Their self-assembly confers a complex structure to their network circuitry, embedding a higher interconnectivity of resistive switching memory (memristive) cross-point junctions than can be achieved with top-down nanofabrication methods. Coupling of the nonlinear memristive dynamics to the network topology enables intrinsic adaptiveness and gives rise to emergent non-local dynamics. In this article, we summarise the physical principles underlying the memristive junctions and network dynamics of neuromorphic nanowire networks and provide the first comprehensive review of studies to date. We conclude with a perspective on future prospects for neuromorphic information processing. |
| first_indexed | 2024-12-21T00:53:40Z |
| format | Article |
| id | doaj.art-859e12c6d624436987f3fe10defcc27c |
| institution | Directory Open Access Journal |
| issn | 2374-6149 |
| language | English |
| last_indexed | 2024-12-21T00:53:40Z |
| publishDate | 2021-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Advances in Physics: X |
| spelling | doaj.art-859e12c6d624436987f3fe10defcc27c2022-12-21T19:21:20ZengTaylor & Francis GroupAdvances in Physics: X2374-61492021-01-016110.1080/23746149.2021.18942341894234Neuromorphic nanowire networks: principles, progress and future prospects for neuro-inspired information processingZdenka Kuncic0Tomonobu Nakayama1University of SydneyUniversity of SydneyNanowire networks represent a unique class of neuromorphic systems. Their self-assembly confers a complex structure to their network circuitry, embedding a higher interconnectivity of resistive switching memory (memristive) cross-point junctions than can be achieved with top-down nanofabrication methods. Coupling of the nonlinear memristive dynamics to the network topology enables intrinsic adaptiveness and gives rise to emergent non-local dynamics. In this article, we summarise the physical principles underlying the memristive junctions and network dynamics of neuromorphic nanowire networks and provide the first comprehensive review of studies to date. We conclude with a perspective on future prospects for neuromorphic information processing.http://dx.doi.org/10.1080/23746149.2021.1894234neuromorphic systemsresistive switching memorynonlinear dynamicsnetwork dynamicsmetallic nanowire networks |
| spellingShingle | Zdenka Kuncic Tomonobu Nakayama Neuromorphic nanowire networks: principles, progress and future prospects for neuro-inspired information processing Advances in Physics: X neuromorphic systems resistive switching memory nonlinear dynamics network dynamics metallic nanowire networks |
| title | Neuromorphic nanowire networks: principles, progress and future prospects for neuro-inspired information processing |
| title_full | Neuromorphic nanowire networks: principles, progress and future prospects for neuro-inspired information processing |
| title_fullStr | Neuromorphic nanowire networks: principles, progress and future prospects for neuro-inspired information processing |
| title_full_unstemmed | Neuromorphic nanowire networks: principles, progress and future prospects for neuro-inspired information processing |
| title_short | Neuromorphic nanowire networks: principles, progress and future prospects for neuro-inspired information processing |
| title_sort | neuromorphic nanowire networks principles progress and future prospects for neuro inspired information processing |
| topic | neuromorphic systems resistive switching memory nonlinear dynamics network dynamics metallic nanowire networks |
| url | http://dx.doi.org/10.1080/23746149.2021.1894234 |
| work_keys_str_mv | AT zdenkakuncic neuromorphicnanowirenetworksprinciplesprogressandfutureprospectsforneuroinspiredinformationprocessing AT tomonobunakayama neuromorphicnanowirenetworksprinciplesprogressandfutureprospectsforneuroinspiredinformationprocessing |