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Editorial: Physical neuromorphic computing and its industrial applications

Frontiers in neuroinformatics, 2023-07, Vol.17, p.1238168-1238168

2023

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From clean room to machine room: commissioning of the first-generation BrainScaleS wafer-scale neuromorphic system

Neuromorphic computing and engineering, 2023-09, Vol.3 (3), p.34013

2023

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Low‐Frequency‐Noise Spectroscopy of TaOx‐based Resistive Switching Memory

Advanced electronic materials, 2022-08, Vol.8 (8), p.n/a

2022

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Nanodevices for Integrated Circuit Design

1, 2023

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Neuro-inspired computing with emerging nonvolatile memorys

Proceedings of the IEEE, 2018-02, Vol.106 (2), p.260-285

Yu, Shimeng

2018

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Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems

Proceedings of the IEEE, 2014-09, Vol.102 (9), p.1367-1388

2014

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In-memory Learning with Analog Resistive Switching Memory: A Review and Perspective

Proceedings of the IEEE, 2021-01, Vol.109 (1), p.14-42

2021

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Bottom-Up and Top-Down Approaches for the Design of Neuromorphic Processing Systems: Tradeoffs and Synergies Between Natural and Artificial Intelligence

Proceedings of the IEEE, 2023-06, Vol.111 (6), p.623-652

2023

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Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing

Science (American Association for the Advancement of Science), 2019-05, Vol.364 (6440), p.570-574

2019

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Proposal for an All-Spin Artificial Neural Network: Emulating Neural and Synaptic Functionalities Through Domain Wall Motion in Ferromagnets

IEEE transactions on biomedical circuits and systems, 2016-12, Vol.10 (6), p.1152-1160

2016

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Experimental Investigation and Performance Analysis of V2O5-Based Memristive Devices for Brain-Inspired Computing

IEEE transactions on electron devices, 2024-09, Vol.71 (9), p.5744-5753

2024

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Analog‐Type Resistive Switching Devices for Neuromorphic Computing

Physica status solidi. PSS-RRL. Rapid research letters, 2019-10, Vol.13 (10)

2019

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Recent Advances in Synaptic Nonvolatile Memory Devices and Compensating Architectural and Algorithmic Methods Toward Fully Integrated Neuromorphic Chips

Advanced materials technologies, 2023-10, Vol.8 (20)

2023

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NC-Net: Efficient Neuromorphic Computing Using Aggregated Subnets on a Crossbar-Based Architecture With Nonvolatile Memory

IEEE transactions on computer-aided design of integrated circuits and systems, 2022-09, Vol.41 (9), p.2957-2969

2022

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Improved Conductance Linearity and Conductance Ratio of 1T2R Synapse Device for Neuromorphic Systems

IEEE electron device letters, 2017-08, Vol.38 (8), p.1023-1026

2017

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A neuromorph's prospectus

Computing in science & engineering, 2017-03, Vol.19 (2), p.14-28

Boahen, Kwabena

2017

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Emerging Artificial Synaptic Devices for Neuromorphic Computing

Advanced materials technologies, 2019-04, Vol.4 (4), p.n/a

2019

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On-chip learning for domain wall synapse based Fully Connected Neural Network

Journal of magnetism and magnetic materials, 2019-11, Vol.489, p.165434, Article 165434

2019

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Analog Synapse Device With 5-b MLC and Improved Data Retention for Neuromorphic System

IEEE electron device letters, 2016-08, Vol.37 (8), p.1067-1070

2016

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Donor Engineering Tuning the Analog Switching Range and Operational Stability of Organic Synaptic Transistors for Neuromorphic Systems

Advanced functional materials, 2022-09, Vol.32 (36), p.n/a

2022

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Volatile Memristive Devices with Analog Resistance Switching Based on Self-Assembled Squaraine Microtubes as Synaptic Emulators

ACS applied materials & interfaces, 2024-01, Vol.16 (2), p.2539-2553

2024

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Sub-Nanosecond Pulses Enable Partial Reset for Analog Phase Change Memory

IEEE electron device letters, 2021-09, Vol.42 (9), p.1291-1294

2021

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Threshold Switching Memristor Modeling for Spiking Neuron Design

IEEE electron device letters, 2024-09, Vol.45 (9), p.1649-1652

2024

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Modular Modeling of Analog Organic Neuromorphic Circuits: Toward Prototyping of Hardware-Level Spiking Neural Networks

IEEE transactions on circuits and systems. I, Regular papers, 2023-03, Vol.70 (3), p.1-14

2023

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Implementation of Simple but Powerful Trilayer Oxide-Based Artificial Synapses with a Tailored Bio-Synapse-Like Structure

ACS applied materials & interfaces, 2020-01, Vol.12 (1), p.1036-1045

2020

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Editorial: Physical neuromorphic computing and its industrial applications

From clean room to machine room: commissioning of the first-generation BrainScaleS wafer-scale neuromorphic system

Low‐Frequency‐Noise Spectroscopy of TaOx‐based Resistive Switching Memory

Nanodevices for Integrated Circuit Design

Neuro-inspired computing with emerging nonvolatile memorys

Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems

In-memory Learning with Analog Resistive Switching Memory: A Review and Perspective

Bottom-Up and Top-Down Approaches for the Design of Neuromorphic Processing Systems: Tradeoffs and Synergies Between Natural and Artificial Intelligence

Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing

Proposal for an All-Spin Artificial Neural Network: Emulating Neural and Synaptic Functionalities Through Domain Wall Motion in Ferromagnets

Experimental Investigation and Performance Analysis of V2O5-Based Memristive Devices for Brain-Inspired Computing

Analog‐Type Resistive Switching Devices for Neuromorphic Computing

Recent Advances in Synaptic Nonvolatile Memory Devices and Compensating Architectural and Algorithmic Methods Toward Fully Integrated Neuromorphic Chips

NC-Net: Efficient Neuromorphic Computing Using Aggregated Subnets on a Crossbar-Based Architecture With Nonvolatile Memory

Improved Conductance Linearity and Conductance Ratio of 1T2R Synapse Device for Neuromorphic Systems

A neuromorph's prospectus

Emerging Artificial Synaptic Devices for Neuromorphic Computing

On-chip learning for domain wall synapse based Fully Connected Neural Network

Analog Synapse Device With 5-b MLC and Improved Data Retention for Neuromorphic System

Donor Engineering Tuning the Analog Switching Range and Operational Stability of Organic Synaptic Transistors for Neuromorphic Systems

Volatile Memristive Devices with Analog Resistance Switching Based on Self-Assembled Squaraine Microtubes as Synaptic Emulators

Sub-Nanosecond Pulses Enable Partial Reset for Analog Phase Change Memory

Threshold Switching Memristor Modeling for Spiking Neuron Design

Modular Modeling of Analog Organic Neuromorphic Circuits: Toward Prototyping of Hardware-Level Spiking Neural Networks

Implementation of Simple but Powerful Trilayer Oxide-Based Artificial Synapses with a Tailored Bio-Synapse-Like Structure

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