Frontiers in Neuroscience | Neuromorphic Engineering

Original Research

Published on 20 Jun 2024

Composing recurrent spiking neural networks using locally-recurrent motifs and risk-mitigating architectural optimization

in Neuromorphic Engineering

Wenrui Zhang
Hejia Geng
Peng Li

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1412559

2,869 views
4 citations

Original Research

Published on 20 Jun 2024

NoC simulation steered by NEST: McAERsim and a Noxim patch

in Neuromorphic Engineering

Markus Robens
Robert Kleijnen
Michael Schiek
Stefan van Waasen

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1371103

3,036 views
1 citation

Mini Review

Published on 11 Jun 2024

Advancements in brain-machine interfaces for application in the metaverse

in Neuromorphic Engineering

Yang Liu
Ruibin Liu
Jinnian Ge
Yue Wang

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1383319

6,884 views
6 citations

Original Research

Published on 15 May 2024

Bi-sigmoid spike-timing dependent plasticity learning rule for magnetic tunnel junction-based SNN

in Neuromorphic Engineering

Salah Daddinounou
Elena-Ioana Vatajelu

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1387339

6,870 views
2 citations

Original Research

Published on 25 Apr 2024

Artificial cerebellum on FPGA: realistic real-time cerebellar spiking neural network model capable of real-world adaptive motor control

in Neuromorphic Engineering

Yusuke Shinji
Hirotsugu Okuno
Yutaka Hirata

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1220908

5,602 views
4 citations

Editorial

Published on 22 Apr 2024

Editorial: Theoretical advances and practical applications of spiking neural networks

in Neuromorphic Engineering

Gaetano Di Caterina
Malu Zhang
Jundong Liu

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1406502

2,987 views
2 citations

Perspective

Published on 17 Apr 2024

Perspective: an optoelectronic future for heterogeneous, dendritic computing

in Neuromorphic Engineering

Luis El Srouji
Mahmoud Abdelghany
Hari Rakul Ambethkar
Yun-Jhu Lee
Mehmet Berkay On
S. J. Ben Yoo

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1394271

2,740 views
1 citation

Original Research

Published on 16 Apr 2024

Brain topology improved spiking neural network for efficient reinforcement learning of continuous control

in Neuromorphic Engineering

Yongjian Wang
Yansong Wang
Xinhe Zhang
Jiulin Du
Tielin Zhang
Bo Xu

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1325062

4,478 views
1 citation

Original Research

Published on 12 Apr 2024

Co-learning synaptic delays, weights and adaptation in spiking neural networks

in Neuromorphic Engineering

Lucas Deckers
Laurens Van Damme
Werner Van Leekwijck
Ing Jyh Tsang
Steven Latré

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1360300

4,649 views
17 citations

Review

Published on 10 Apr 2024

A comprehensive review of advanced trends: from artificial synapses to neuromorphic systems with consideration of non-ideal effects

in Neuromorphic Engineering

Kyuree Kim
Min Suk Song
Hwiho Hwang
Sungmin Hwang
Hyungjin Kim

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1279708

11,109 views
45 citations

Original Research

Published on 28 Mar 2024

Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration

in Neuromorphic Engineering

Yingfu Xu
Kevin Shidqi
Gert-Jan van Schaik
Refik Bilgic
Alexandra Dobrita
Shenqi Wang
Roy Meijer
Prithvish Nembhani
Cina Arjmand
Pietro Martinello

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1335422

10,541 views
17 citations

Original Research

Published on 26 Mar 2024

Closing the loop: High-speed robotics with accelerated neuromorphic hardware

in Neuromorphic Engineering

Yannik Stradmann
Johannes Schemmel

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1360122

3,950 views
2 citations

Perspective

Published on 13 Mar 2024

Complex chemical reaction networks for future information processing

in Neuromorphic Engineering

Katja-Sophia Csizi
Emanuel Lörtscher

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1379205

4,873 views
6 citations

Original Research

Published on 12 Mar 2024

SGLFormer: Spiking Global-Local-Fusion Transformer with high performance

in Neuromorphic Engineering

Han Zhang
Chenlin Zhou
Liutao Yu
Liwei Huang
Zhengyu Ma
Xiaopeng Fan
Huihui Zhou
Yonghong Tian

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1371290

6,169 views
14 citations

Original Research

Published on 05 Mar 2024

DCENet-based low-light image enhancement improved by spiking encoding and convLSTM

in Neuromorphic Engineering

Xinghao Wang
Qiang Wang
Lei Zhang
Yi Qu
Fan Yi
Jiayang Yu
Qiuhan Liu
Ruicong Xia
Ziling Xu
Sirong Tong

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1297671

2,989 views
3 citations

Original Research

Published on 04 Mar 2024

Design of oscillatory neural networks by machine learning

in Neuromorphic Engineering

Tamás Rudner
Wolfgang Porod
Gyorgy Csaba

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1307525

5,806 views
7 citations

Editorial

Published on 28 Feb 2024

Editorial: Emerging talents in neuromorphic engineering

in Neuromorphic Engineering

Horacio Rostro-Gonzalez
Juan Pedro Dominguez-Morales
Bernard Girau
Fernando Perez-Peña

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1386712

1,609 views

Original Research

Published on 28 Feb 2024

The silence of the neurons: an application to enhance performance and energy efficiency

in Neuromorphic Engineering

Moslem Heidarpur
Arash Ahmadi
Majid Ahmadi

Frontiers in Neuroscience

doi 10.3389/fnins.2023.1333238

3,262 views
4 citations

Original Research

Published on 14 Feb 2024

Rethinking skip connections in Spiking Neural Networks with Time-To-First-Spike coding

in Neuromorphic Engineering

Youngeun Kim
Adar Kahana
Ruokai Yin
Yuhang Li
Panos Stinis
George Em Karniadakis
Priyadarshini Panda

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1346805

6,391 views
7 citations

Original Research

Published on 24 Jan 2024

Training multi-layer spiking neural networks with plastic synaptic weights and delays

in Neuromorphic Engineering

Jing Wang

Frontiers in Neuroscience

doi 10.3389/fnins.2023.1253830

2,696 views
6 citations

Original Research

Published on 10 Jan 2024

Efficient and generalizable cross-patient epileptic seizure detection through a spiking neural network

in Neuromorphic Engineering

Zongpeng Zhang
Mingqing Xiao
Taoyun Ji
Yuwu Jiang
Tong Lin
Xiaohua Zhou
Zhouchen Lin

Frontiers in Neuroscience

doi 10.3389/fnins.2023.1303564

5,815 views
27 citations

Original Research

Published on 08 Jan 2024

SHIP: a computational framework for simulating and validating novel technologies in hardware spiking neural networks

in Neuromorphic Engineering

Emanuele Gemo
Sabina Spiga
Stefano Brivio

Frontiers in Neuroscience

doi 10.3389/fnins.2023.1270090

4,362 views
2 citations

Original Research

Published on 05 Jan 2024

An FPGA implementation of Bayesian inference with spiking neural networks

in Neuromorphic Engineering

Haoran Li
Bo Wan
Ying Fang
Qifeng Li
Jian K. Liu
Lingling An

Frontiers in Neuroscience

doi 10.3389/fnins.2023.1291051

6,714 views
9 citations

Original Research

Published on 04 Jan 2024

Chip-In-Loop SNN Proxy Learning: a new method for efficient training of spiking neural networks

in Neuromorphic Engineering

Yuhang Liu
Tingyu Liu
Yalun Hu
Wei Liao
Yannan Xing
Sadique Sheik
Ning Qiao

Frontiers in Neuroscience

doi 10.3389/fnins.2023.1323121

3,416 views
1 citation

565 articles

articles

Composing recurrent spiking neural networks using locally-recurrent motifs and risk-mitigating architectural optimization

NoC simulation steered by NEST: McAERsim and a Noxim patch

Advancements in brain-machine interfaces for application in the metaverse

Bi-sigmoid spike-timing dependent plasticity learning rule for magnetic tunnel junction-based SNN

Artificial cerebellum on FPGA: realistic real-time cerebellar spiking neural network model capable of real-world adaptive motor control

Editorial: Theoretical advances and practical applications of spiking neural networks

Perspective: an optoelectronic future for heterogeneous, dendritic computing

Brain topology improved spiking neural network for efficient reinforcement learning of continuous control

Co-learning synaptic delays, weights and adaptation in spiking neural networks

A comprehensive review of advanced trends: from artificial synapses to neuromorphic systems with consideration of non-ideal effects

Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration

Closing the loop: High-speed robotics with accelerated neuromorphic hardware

Complex chemical reaction networks for future information processing

SGLFormer: Spiking Global-Local-Fusion Transformer with high performance

DCENet-based low-light image enhancement improved by spiking encoding and convLSTM

Design of oscillatory neural networks by machine learning

Editorial: Emerging talents in neuromorphic engineering

The silence of the neurons: an application to enhance performance and energy efficiency

Rethinking skip connections in Spiking Neural Networks with Time-To-First-Spike coding

Training multi-layer spiking neural networks with plastic synaptic weights and delays

Efficient and generalizable cross-patient epileptic seizure detection through a spiking neural network

SHIP: a computational framework for simulating and validating novel technologies in hardware spiking neural networks

An FPGA implementation of Bayesian inference with spiking neural networks

Chip-In-Loop SNN Proxy Learning: a new method for efficient training of spiking neural networks