Unified Memcapacitor-Memristor Memory for Synaptic Weights and Neuron Temporal Dynamics
We present a fabricated and experimentally characterized memory stack that unifies memristive and memcapacitive behavior. Exploiting this dual functionality, we design a circuit enabling simultaneous control of spatial and temporal dynamics in recurrent spiking neural networks (RSNNs). Hardware-aware simulations highlight its promise for efficient neuromorphic processing.
Authors
- Marco Massarotto (ORCID: https://orcid.org/0000-0002-6739-0168)
- Yann Beilliard (ORCID: https://orcid.org/0000-0003-0311-8840)
- David Esseni (ORCID: https://orcid.org/0000-0002-3468-5197)
- Melika Payvand (ORCID: https://orcid.org/0000-0001-5400-067X)
- Elisa Vianello (ORCID: https://orcid.org/0000-0002-8868-9951)
- L. Grenouillet (ORCID: https://orcid.org/0000-0001-6721-0393)
- Filippo Moro (ORCID: https://orcid.org/0000-0002-5279-6309)
- S. D’Agostino (ORCID: https://orcid.org/0009-0007-2006-4764)
- N. Castellani (ORCID: https://orcid.org/0009-0007-0763-2130)
- Tristan Torchet
Institutions
- SIB Swiss Institute of Bioinformatics (CH)
- University of Udine (IT)
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
- CEA Grenoble (FR)
- Université Grenoble Alpes (FR)
Publication Details
- Published
- 2025-06-08
- DOI
- https://doi.org/10.23919/snw65111.2025.11097227
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- H2020 European Research Council