Emerging Memory | List of Frontiers open access articles

Review

Published on 07 Oct 2022

Review on data-centric brain-inspired computing paradigms exploiting emerging memory devices

in Semiconducting Materials and Devices

Wei Wang
Shahar Kvatinsky
Heidemarie Schmidt
Nan Du

Frontiers in Electronic Materials

doi 10.3389/femat.2022.1020076

9,351 views
3 citations

Brief Research Report

Published on 22 Nov 2021

Self-Rectified Graphite-Based Reprogrammable One-Time Programmable (RS-OTP) Memory for Embedded Applications

in Nanomaterials

Ying-Chen Chen

Frontiers in Nanotechnology

doi 10.3389/fnano.2021.772234

2,611 views
3 citations

Review

Published on 11 May 2021

Adaptive Extreme Edge Computing for Wearable Devices

in Neuromorphic Engineering

Erika Covi
Elisa Donati
Xiangpeng Liang
David Kappel
Hadi Heidari
Melika Payvand
Wei Wang

Frontiers in Neuroscience

doi 10.3389/fnins.2021.611300

37,069 views
151 citations

Hypothesis and Theory

Published on 06 Sep 2021

Considerations for Neuromorphic Supercomputing in Semiconducting and Superconducting Optoelectronic Hardware

in Neuromorphic Engineering

Bryce A. Primavera
Jeffrey M. Shainline

Frontiers in Neuroscience

doi 10.3389/fnins.2021.732368

7,140 views
11 citations

Original Research

Published on 09 Jun 2021

NeuroSim Simulator for Compute-in-Memory Hardware Accelerator: Validation and Benchmark

in Machine Learning and Artificial Intelligence

Anni Lu
Xiaochen Peng
Wantong Li
Hongwu Jiang
Shimeng Yu

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.659060

23,297 views
52 citations

Original Research

Published on 07 Jun 2021

Utilizing the Switching Stochasticity of HfO2/TiOx-Based ReRAM Devices and the Concept of Multiple Device Synapses for the Classification of Overlapping and Noisy Patterns

in Neural Technology

Christopher Bengel
Felix Cüppers
Melika Payvand
Regina Dittmann
Rainer Waser
Susanne Hoffmann-Eifert
Stephan Menzel

Frontiers in Neuroscience

doi 10.3389/fnins.2021.661856

7,421 views
32 citations

Original Research

Published on 01 Feb 2021

Non-linear Memristive Synaptic Dynamics for Efficient Unsupervised Learning in Spiking Neural Networks

in Neuromorphic Engineering

Stefano Brivio
Denys R. B. Ly
Elisa Vianello
Sabina Spiga

Frontiers in Neuroscience

doi 10.3389/fnins.2021.580909

7,221 views
31 citations

Articles

Review on data-centric brain-inspired computing paradigms exploiting emerging memory devices

Self-Rectified Graphite-Based Reprogrammable One-Time Programmable (RS-OTP) Memory for Embedded Applications

Adaptive Extreme Edge Computing for Wearable Devices

Considerations for Neuromorphic Supercomputing in Semiconducting and Superconducting Optoelectronic Hardware

NeuroSim Simulator for Compute-in-Memory Hardware Accelerator: Validation and Benchmark

Utilizing the Switching Stochasticity of HfO2/TiOx-Based ReRAM Devices and the Concept of Multiple Device Synapses for the Classification of Overlapping and Noisy Patterns

Non-linear Memristive Synaptic Dynamics for Efficient Unsupervised Learning in Spiking Neural Networks