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20212025
most citedExperimental Body-input Three-stage DC offset Calibration Scheme for Memristive Crossbar

1 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.NE2025

Efficient Synaptic Delay Implementation in Digital Event-Driven AI Accelerators

Roy Meijer, Paul Detterer, Amirreza Yousefzadeh +8

Synaptic delay parameterization of neural network models have remained largely unexplored but recent literature has been showing promising results, suggesting the delay parameteriz…

eess.SY20221 cited

Effect of Device Mismatches in Differential Oscillatory Neural Networks

Jafar Shamsi, María José Avedillo, Bernabé Linares-Barranco +1

Analog implementation of Oscillatory Neural Networks (ONNs) has the potential to implement fast and ultra-low-power computing capabilities. One of the drawbacks of analog implement…

cs.ET20221 cited

A CMOL-Like Memristor-CMOS Neuromorphic Chip-Core Demonstrating Stochastic Binary STDP

L. A. Camuñas-Mesa, E. Vianello, C. Reita +2

The advent of nanoscale memristors raised hopes of being able to build CMOL (CMOS/nanowire/moLecular) type ultra-dense in-memory-computing circuit architectures. In CMOL, nanoscale…

cs.ET20211 cited

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…

physics.ins-det2021

Neutron-Induced, Single-Event Effects on Neuromorphic Event-based Vision Sensor: A First Step Towards Space Applications

Seth Roffe, Himanshu Akolkar, Alan D. George +2

This paper studies the suitability of neuromorphic event-based vision cameras for spaceflight, and the effects of neutron radiation on their performance. Neuromorphic event-based v…