624 citations
- Universidad de SevillaES13 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2 papers
- ETH ZurichCH2 papers
- Institute of NeuroinformaticsCH2 papers
- James Cook UniversityAU2 papers
- Aarhus UniversityDK1 paper
- Birla Institute of Technology and Science, Pilani - Goa CampusIN1 paper
- Carnegie Mellon UniversityUS1 paper
- CEA GrenobleFR1 paper
- Centre de recherche cerveau et cognitionFR1 paper
- Consejo Superior de Investigaciones CientíficasES1 paper
7 papers · 1 filter
Update Disturbance-Resilient Analog ReRAM Crossbar Arrays for In-Memory Deep Learning Accelerators
Wooseok Choi, Tommaso Stecconi, Donato Francesco Falcone +14
Resistive memory (ReRAM) technologies with crossbar array architectures hold significant potential for analog AI accelerator hardware, enabling both in-memory inference and trainin…
Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking
Alberto Patiño-Saucedo, Amirreza Yousefzadeh, Guangzhi Tang +3
The role of axonal synaptic delays in the efficacy and performance of artificial neural networks has been largely unexplored. In step-based analog-valued neural network models (ANN…
A Fully Digital Relaxation-Aware Analog Programming Technique for HfOx RRAM Arrays
Hamidreza Erfanijazi, Luis A. Camuñas-Mesa, Elisa Vianello +2
For neuromorphic engineering to emulate the human brain, improving memory density with low power consumption is an indispensable but challenging goal. In this regard, emerging RRAM…
Experimental Body-input Three-stage DC offset Calibration Scheme for Memristive Crossbar
Charanraj Mohan, L. A. Camuñas-Mesa, Elisa Vianello +4
Reading several ReRAMs simultaneously in a neuromorphic circuit increases power consumption and limits scalability. Applying small inference read pulses is a vain attempt when offs…
Implementation of binary stochastic STDP learning using chalcogenide-based memristive devices
C. Mohan, L. A. Camuñas-Mesa, J. M. de la Rosa +2
The emergence of nano-scale memristive devices encouraged many different research areas to exploit their use in multiple applications. One of the proposed applications was to imple…
MemTorch: An Open-source Simulation Framework for Memristive Deep Learning Systems
Corey Lammie, Wei Xiang, Bernabé Linares-Barranco +1
Memristive devices have shown great promise to facilitate the acceleration and improve the power efficiency of Deep Learning (DL) systems. Crossbar architectures constructed using…