Frontiers in Neuroscience | Neuromorphic Engineering

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

2,162 views
7 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

5,360 views
16 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

6,085 views
5 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

2,235 views

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

2,855 views
5 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

3,753 views
7 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

1,694 views

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

3,074 views
2 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

1,061 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

1,816 views
2 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

3,249 views
5 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

1,466 views
3 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

3,320 views
9 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

2,329 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

3,624 views
6 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

2,235 views