Hardware implementation of memristor-based artificial neural networks
- Fernando Aguirre
- Abu Sebastian
- et al.
- 2024
- Nature Communications
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12 results for Daniele Lelmini
Energy-efficient continual learning in hybrid supervised-unsupervised neural networks with PCM synapses
- Stefano Bianchi
- Irene Muñoz-Martín
- et al.
- 2019
- VLSI Circuits 2019
Unsupervised Learning to Overcome Catastrophic Forgetting in Neural Networks
- Irene Muñoz-Martín
- Stefano Bianchi
- et al.
- 2019
- IEEE JXCDC
A 4-Transistors/1-Resistor Hybrid Synapse Based on Resistive Switching Memory (RRAM) Capable of Spike-Rate-Dependent Plasticity (SRDP)
- Valerio Milo
- Giacomo Pedretti
- et al.
- 2018
- IEEE Transactions on VLSI Systems
Modeling of Breakdown-Limited Endurance in Spin-Transfer Torque Magnetic Memory under Pulsed Cycling Regime
- Roberto Carboni
- Stefano Ambrogio
- et al.
- 2018
- IEEE T-ED
Stochastic Learning in Neuromorphic Hardware via Spike Timing Dependent Plasticity with RRAM Synapses
- Giacomo Pedretti
- Valerio Milo
- et al.
- 2018
- IEEE JESTCS
Roadmap to neuromorphic computing with emerging technologies
- Adnan Mehonic
- Daniele Ielmini
- et al.
- 2024
- APL Materials
2022 roadmap on neuromorphic computing and engineering
- Dennis V Christensen
- Regina Dittmann
- et al.
- 2022
- Neuromorph. Comput. Eng.
Emerging neuromorphic devices
- Daniele Lelmini
- Stefano Ambrogio
- 2019
- Nanotechnology
Recommended Methods to Study Resistive Switching Devices
- Mario Lanza
- H.-S. Philip Wong
- et al.
- 2018
- Advanced Electronic Materials