Mnist Dataset | List of Frontiers open access articles

Original Research

Published on 06 Aug 2021

Entanglement-Based Feature Extraction by Tensor Network Machine Learning

in Statistical and Computational Physics

Yuhan Liu
Wen-Jun Li
Xiao Zhang
Maciej Lewenstein
Gang Su
Shi-Ju Ran

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.716044

9,849 views
29 citations

Original Research

Published on 28 Jan 2020

Controlled Forgetting: Targeted Stimulation and Dopaminergic Plasticity Modulation for Unsupervised Lifelong Learning in Spiking Neural Networks

in Neuromorphic Engineering

Jason M. Allred
Kaushik Roy

Frontiers in Neuroscience

doi 10.3389/fnins.2020.00007

8,126 views
28 citations

Original Research

Published on 23 Nov 2022

Multiclass classification using quantum convolutional neural networks with hybrid quantum-classical learning

in Quantum Engineering and Technology

Denis Bokhan
Alena S. Mastiukova
Aleksey S. Boev
Dmitrii N. Trubnikov
Aleksey K. Fedorov

Frontiers in Physics

doi 10.3389/fphy.2022.1069985

11,993 views
74 citations

Original Research

Published on 13 May 2022

Fault-Aware Adversary Attack Analyses and Enhancement for RRAM-Based Neuromorphic Accelerator

in Sensor Networks

Liuting Shang
Sungyong Jung
Fengjun Li
Chenyun Pan

Frontiers in Sensors

doi 10.3389/fsens.2022.896299

2,827 views
1 citation

Original Research

Published on 05 Feb 2021

Computational Efficiency of a Modular Reservoir Network for Image Recognition

Yifan Dai
Hideaki Yamamoto
Masao Sakuraba
Shigeo Sato

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.594337

4,887 views
5 citations

Technology and Code

Published on 20 Apr 2022

NeuroPack: An Algorithm-Level Python-Based Simulator for Memristor-Empowered Neuro-Inspired Computing

in Nanodevices

Jinqi Huang
Spyros Stathopoulos
Alexantrou Serb
Themis Prodromakis

Frontiers in Nanotechnology

doi 10.3389/fnano.2022.851856

9,941 views
9 citations

Original Research

Published on 26 Apr 2019

A Soft-Pruning Method Applied During Training of Spiking Neural Networks for In-memory Computing Applications

in Neuromorphic Engineering

Yuhan Shi
Leon Nguyen
Sangheon Oh
Xin Liu
Duygu Kuzum

Frontiers in Neuroscience

doi 10.3389/fnins.2019.00405

10,208 views
41 citations

Methods

Published on 27 Jul 2021

Event Camera Simulator Improvements via Characterized Parameters

in Neuromorphic Engineering

Damien Joubert
Alexandre Marcireau
Nic Ralph
Andrew Jolley
André van Schaik
Gregory Cohen

Frontiers in Neuroscience

doi 10.3389/fnins.2021.702765

10,993 views
57 citations

Original Research

Published on 18 Apr 2022

SAM: A Unified Self-Adaptive Multicompartmental Spiking Neuron Model for Learning With Working Memory

in Neuromorphic Engineering

Shuangming Yang
Tian Gao
Jiang Wang
Bin Deng
Mostafa Rahimi Azghadi
Tao Lei
Bernabe Linares-Barranco

Frontiers in Neuroscience

doi 10.3389/fnins.2022.850945

8,136 views
81 citations

Original Research

Published on 13 Mar 2020

Spike-Train Level Direct Feedback Alignment: Sidestepping Backpropagation for On-Chip Training of Spiking Neural Nets

in Neuromorphic Engineering

Jeongjun Lee
Renqian Zhang
Wenrui Zhang
Yu Liu
Peng Li

Frontiers in Neuroscience

doi 10.3389/fnins.2020.00143

7,747 views
31 citations

Original Research

Published on 15 Oct 2018

On Practical Issues for Stochastic STDP Hardware With 1-bit Synaptic Weights

in Neuromorphic Engineering

Amirreza Yousefzadeh
Evangelos Stromatias
Miguel Soto
Teresa Serrano-Gotarredona
Bernabé Linares-Barranco

Frontiers in Neuroscience

doi 10.3389/fnins.2018.00665

11,073 views
56 citations

Original Research

Published on 24 Oct 2018

Training LSTM Networks With Resistive Cross-Point Devices

in Neuromorphic Engineering

Tayfun Gokmen
Malte J. Rasch
Wilfried Haensch

Frontiers in Neuroscience

doi 10.3389/fnins.2018.00745

6,046 views
46 citations

Original Research

Published on 11 Aug 2022

Direct domain adaptation through reciprocal linear transformations

in Machine Learning and Artificial Intelligence

Tariq Alkhalifah
Oleg Ovcharenko

Frontiers in Artificial Intelligence

doi 10.3389/frai.2022.927676

2,957 views
6 citations

Original Research

Published on 07 Jun 2023

Information-theoretic analysis of Hierarchical Temporal Memory-Spatial Pooler algorithm with a new upper bound for the standard information bottleneck method

Shiva Sanati
Modjtaba Rouhani
Ghosheh Abed Hodtani

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1140782

6,735 views
3 citations

Original Research

Published on 24 Mar 2020

Equilibrium Propagation for Memristor-Based Recurrent Neural Networks

in Neuromorphic Engineering

Gianluca Zoppo
Francesco Marrone
Fernando Corinto

Frontiers in Neuroscience

doi 10.3389/fnins.2020.00240

6,531 views
19 citations

Original Research

Published on 04 Nov 2016

An Event-Based Neurobiological Recognition System with Orientation Detector for Objects in Multiple Orientations

in Neuromorphic Engineering

Hanyu Wang
Jiangtao Xu
Zhiyuan Gao
Chengye Lu
Suying Yao
Jianguo Ma

Frontiers in Neuroscience

doi 10.3389/fnins.2016.00498

4,557 views
6 citations

Articles

Entanglement-Based Feature Extraction by Tensor Network Machine Learning

Controlled Forgetting: Targeted Stimulation and Dopaminergic Plasticity Modulation for Unsupervised Lifelong Learning in Spiking Neural Networks

Multiclass classification using quantum convolutional neural networks with hybrid quantum-classical learning

Fault-Aware Adversary Attack Analyses and Enhancement for RRAM-Based Neuromorphic Accelerator

Computational Efficiency of a Modular Reservoir Network for Image Recognition

NeuroPack: An Algorithm-Level Python-Based Simulator for Memristor-Empowered Neuro-Inspired Computing

A Soft-Pruning Method Applied During Training of Spiking Neural Networks for In-memory Computing Applications

Event Camera Simulator Improvements via Characterized Parameters

SAM: A Unified Self-Adaptive Multicompartmental Spiking Neuron Model for Learning With Working Memory

Spike-Train Level Direct Feedback Alignment: Sidestepping Backpropagation for On-Chip Training of Spiking Neural Nets

On Practical Issues for Stochastic STDP Hardware With 1-bit Synaptic Weights

Training LSTM Networks With Resistive Cross-Point Devices

Direct domain adaptation through reciprocal linear transformations

Information-theoretic analysis of Hierarchical Temporal Memory-Spatial Pooler algorithm with a new upper bound for the standard information bottleneck method

Equilibrium Propagation for Memristor-Based Recurrent Neural Networks

An Event-Based Neurobiological Recognition System with Orientation Detector for Objects in Multiple Orientations