A Behavioural Compact Model for Programmable Neuromorphic ReRAM
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
In this work, we present a compact memristor model for bipolar neuromorphic ReRAM devices. The proposed model focuses on a behavioural high level description of the device, and it reproduces some of the most important characteristics (i.e. conductance, energy dissipation), using the number of pulses as the input variable instead of any electrical. Its functionality is shown by using it to model the behavior of three different ReRAM devices that were fabricated and measured at the CNR-IMM, Agrate Brianza. Considering a train of identical pulses as an input voltage signal consisting of N pulses and where m is the pulse number. The conductance during depression or potentiation can be described.
Details
| Original language | English |
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| Title of host publication | Proceedings of the 18th ACM International Symposium on Nanoscale Architectures, NANOARCH 2023 |
| Publisher | Association for Computing Machinery |
| ISBN (electronic) | 9798400703256 |
| Publication status | Published - 18 Dec 2023 |
| Peer-reviewed | Yes |
Publication series
| Series | Nanoarch: IEEE/ACM International Symposium on Nanoscale Architectures |
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Conference
| Title | 18th ACM International Symposium on Nanoscale Architectures |
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| Abbreviated title | NANOARCH 2023 |
| Conference number | 18 |
| Duration | 18 - 20 December 2023 |
| Website | |
| Location | Technische Universität Dresden |
| City | Dresden |
| Country | Germany |
External IDs
| ORCID | /0000-0001-7436-0103/work/172081488 |
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| ORCID | /0000-0001-8886-4708/work/172572515 |
Keywords
ASJC Scopus subject areas
Keywords
- Memristor, Pulse Programming, Pulsed Neural Networks, ReRAM