Memristive chaotic circuit for information processing through time
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866917989830361088 |
|---|---|
| author | Escudero, Manuel Spiga, Sabina Brivio, Stefano |
| author_facet | Escudero, Manuel Spiga, Sabina Brivio, Stefano |
| contents | Human brain processes sensory information in real-time with extraordinary efficiency compared to the possibilities of current artificial computing systems. It operates as a complex nonlinear system, composed of interacting dynamic units - neurons and synapses - that processes data-streams as time goes by, i.e. through time, using time as an internal self-standing variable. Here we report on a memristor-based compact chaotic circuit included in a computing architecture that can process information through time. We realized a hardware memristive version of the formally simplest chaotic circuit that, thanks to the nonlinearity of the nonvolatile memristor device, evolves with complex dynamics in response to a driving signal. The circuit is used in a single-node reservoir computing scheme to demonstrate nonlinear classification tasks and the processing of data streams through time. These results demonstrate that a simple memristor-based chaotic circuit has the potential to operate as a nonlinear dynamics-based computing system and to process temporal information through time. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_13600 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Memristive chaotic circuit for information processing through time Escudero, Manuel Spiga, Sabina Brivio, Stefano Emerging Technologies Human brain processes sensory information in real-time with extraordinary efficiency compared to the possibilities of current artificial computing systems. It operates as a complex nonlinear system, composed of interacting dynamic units - neurons and synapses - that processes data-streams as time goes by, i.e. through time, using time as an internal self-standing variable. Here we report on a memristor-based compact chaotic circuit included in a computing architecture that can process information through time. We realized a hardware memristive version of the formally simplest chaotic circuit that, thanks to the nonlinearity of the nonvolatile memristor device, evolves with complex dynamics in response to a driving signal. The circuit is used in a single-node reservoir computing scheme to demonstrate nonlinear classification tasks and the processing of data streams through time. These results demonstrate that a simple memristor-based chaotic circuit has the potential to operate as a nonlinear dynamics-based computing system and to process temporal information through time. |
| title | Memristive chaotic circuit for information processing through time |
| topic | Emerging Technologies |
| url | https://arxiv.org/abs/2504.13600 |