37 citations · 39 across the 8 of their papers we have counts for
5 papers · 1 filter
Spintronic Neuromorphic Hardware Using Domain Wall-Based Neurons and Quantized Synapses
Sakshi Kiran Bandekar, Arnab Ganguly, Debanjan Polley +1
In this work, we simulate the functionality of an artificial neuron and synapse using spin-orbit torque-based spintronic devices and implement a fully connected artificial neural n…
Design of Spintronics-based Neuronal and Synaptic Devices for Spiking Neural Network Circuits
Debasis Das, Yunuo Cen, Jianze Wang +1
Topologically stable magnetic skyrmion has a much lower depinning current density that may be useful for memory as well as neuromorphic computing. However, skyrmion-based devices s…
Self-reset schemes for Magnetic domain wall-based neuron
Debasis Das, Xuanyao Fong
Spintronic artificial spiking neurons are promising due to their ability to closely mimic the leaky integrate-and-fire (LIF) dynamics of the biological LIF spiking neuron. However,…
Bilayer-skyrmion-based design of neuron and synapse for spiking neural network
Debasis Das, Yunuo Cen, Jianze Wang +1
Magnetic skyrmion technology is promising for the next-generation spintronics-based memory and neuromorphic computing due to their small size, non-volatility and low depinning curr…
A Fokker-Planck Approach for Modeling the Stochastic Phenomena in Magnetic and Resistive Random Access Memory Devices
Debasis Das, Xuanyao Fong
Embedded non-volatile memory technologies such as resistive random access memory (RRAM) and spin-transfer torque magnetic RAM (STT MRAM) are increasingly being researched for appli…