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20152025
most citedSeizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks

43 citations · 56 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.ET2022★ 43 cited

Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks

Chenqi Li, Corey Lammie, Xuening Dong +3

During the past two decades, epileptic seizure detection and prediction algorithms have evolved rapidly. However, despite significant performance improvements, their hardware imple…

cs.ET2022★ 2 cited

SDEX: Monte Carlo Simulation of Stochastic Differential Equations on Memristor Crossbars

Louis Primeau, Amirali Amirsoleimani, Roman Genov

Here we present stochastic differential equations (SDEs) on a memristor crossbar, where the source of gaussian noise is derived from the random conductance due to ion drift in the…

cs.ET2022

Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures

Corey Lammie, Jason K. Eshraghian, Chenqi Li +4

The impact of device and circuit-level effects in mixed-signal Resistive Random Access Memory (RRAM) accelerators typically manifest as performance degradation of Deep Learning (DL…

cs.ET2020★ 1 cited

AIDX: Adaptive Inference Scheme to Mitigate State-Drift in Memristive VMM Accelerators

Tony Liu, Amirali Amirsoleimani, Fabien Alibart +3

An adaptive inference method for crossbar (AIDX) is presented based on an optimization scheme for adjusting the duration and amplitude of input voltage pulses. AIDX minimizes the l…

cs.ET2015★ 3 cited

Optimized Implementation of Memristor-Based Full Adder by Material Implication Logic

Mehri Teimoory, Amirali Amirsoleimani, Jafar Shamsi +3

Recently memristor-based applications and circuits are receiving an increased attention. Furthermore, memristors are also applied in logic circuit design. Material implication logi…