Frontiers in Neuroscience | Neuromorphic Engineering

Original Research

Published on 06 Feb 2026

Evolving spiking neural networks: the role of neuron models and encoding schemes in neuromorphic learning

in Neuromorphic Engineering

Bastian Loyola-Jara
Gabriela Fernández-Rodríguez
Javier Baladron

Frontiers in Neuroscience

doi 10.3389/fnins.2026.1697163

521 views

Original Research

Published on 04 Feb 2026

Bidirectional cross-day alignment of neural spikes and behavior using a hybrid SNN-ANN algorithm

in Neuromorphic Engineering

Binjie Hong
Zihang Xu
Tengyu Zhang
Tielin Zhang

Frontiers in Neuroscience

doi 10.3389/fnins.2026.1772958

415 views

Original Research

Published on 03 Feb 2026

Spike-based Q-learning in a non-von Neumann architecture

in Neuromorphic Engineering

Donghyuk Shin
Hyeongcheol Jo
Hyeseung Jang
Yoo Ho Jeong
YeonJoo Jeong
Joon Young Kwak
Jongkil Park
Suyoun Lee
Inho Kim
Jong-Keuk Park

Frontiers in Neuroscience

doi 10.3389/fnins.2026.1738140

414 views

Original Research

Accepted on 29 Jan 2026

Operational Manifolds in Spiking Neural Networks

in Neuromorphic Engineering

Szymon Mazurek
Jakub Caputa
Piotr Maj
Maciej Wielgosz

Frontiers in Neuroscience

143 views

Editorial

Published on 28 Jan 2026

Editorial: Theoretical advances and practical applications of spiking neural networks, volume II

in Neuromorphic Engineering

Gaetano Di Caterina
Malu Zhang
Jundong Liu

Frontiers in Neuroscience

doi 10.3389/fnins.2026.1771268

748 views

Original Research

Published on 27 Jan 2026

Astrocyte-gated multi-timescale plasticity for online continual learning in deep spiking neural networks

in Neuromorphic Engineering

Zhengshan Dong
Wude He

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1768235

838 views

Original Research

Published on 23 Jan 2026

An event-based opto-tactile skin

in Neuromorphic Engineering

Mohammadreza Koolani
Simeon Bamford
Petr Trunin
Simon F. Müller-Cleve
Matteo Lo Preti
Fulvio Mastrogiovanni
Lucia Beccai
Chiara Bartolozzi

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1735068

890 views

Original Research

Published on 15 Jan 2026

Overcoming quadratic hardware scaling for a fully connected digital oscillatory neural network

in Neuromorphic Engineering

Bram F. Haverkort
Aida Todri-Sanial

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1658490

1,019 views

Original Research

Published on 09 Jan 2026

Sequential analysis and its applications to neuromorphic engineering

in Neuromorphic Engineering

Shivaram Mani
Saeed Afshar
Travis Monk

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1735027

825 views

Original Research

Accepted on 04 Jan 2026

Ghost-LENet: A Robust Convolutional Neural Network for EEG-based Brain-Computer Interfaces

in Neuromorphic Engineering

Ruidong Ma
Zhenyu Wang
Lingfan Zhang
Shangbin Chen
Qiying Song

Frontiers in Neuroscience

368 views

Original Research

Published on 12 Dec 2025

A hybrid Spiking Neural Network–Transformer architecture for motor imagery and sleep apnea detection

in Neuromorphic Engineering

Duc Thien Pham
Maryam Khoshkhooy Titkanlou
Roman Mouček

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1716204

1,573 views

Editorial

Published on 04 Dec 2025

Editorial: Algorithm-hardware co-optimization in neuromorphic computing for efficient AI

in Neuromorphic Engineering

Amirreza Yousefzadeh
Alberto Patiño-Saucedo
Guido De Croon
Manolis Sifalakis

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1746610

1,295 views

Original Research

Published on 28 Nov 2025

SSEL: spike-based structural entropic learning for spiking graph neural networks

in Neuromorphic Engineering

Shuangming Yang
Yuzhu Wu
Badong Chen

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1687815

1,070 views

Review

Published on 14 Nov 2025

Review of deep learning models with Spiking Neural Networks for modeling and analysis of multimodal neuroimaging data

in Neuromorphic Engineering

Ayesha Khan
Vickie Shim
Justin Fernandez
Nikola K. Kasabov
Alan Wang

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1623497

3,428 views

Editorial

Published on 12 Nov 2025

Editorial: Novel memristor-based devices and circuits for neuromorphic and AI applications, volume II

in Neuromorphic Engineering

Heba Abunahla
Said Al-Sarawi

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1729354

1,284 views

Original Research

Published on 03 Nov 2025

TDE-3: an improved prior for optical flow computation in spiking neural networks

in Neuromorphic Engineering

Matthew Yedutenko
Federico Paredes-Vallés
Lyes Khacef
Guido de Croon

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1667541

2,450 views

Original Research

Published on 16 Oct 2025

Spiking neural networks for EEG signal analysis using wavelet transform

in Neuromorphic Engineering

Li Yuan
Jian Wei
Ying Liu

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1652274

4,199 views

Original Research

Published on 15 Oct 2025

Balancing accuracy and efficiency: co-design of hybrid quantization and unified computing architecture for spiking neural networks

in Neuromorphic Engineering

Jiahao Li
Ming Xu
Heng Dong
Bin Lan
Yuxin Liu
He Chen
Yin Zhuang
Yizhuang Xie
Liang Chen

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1665778

3,105 views

Original Research

Published on 08 Oct 2025

Network topological reorganization mechanisms of primary visual cortex under multimodal stimulation

in Neuromorphic Engineering

Zhen Li
Zhiyong Peng
LiHua He
Xuan Zhu
Dewen Hu
Ming Li

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1678035

2,467 views

Mini Review

Published on 02 Oct 2025

A comparative review of deep and spiking neural networks for edge AI neuromorphic circuits

in Neuromorphic Engineering

Pietro M. Ferreira
Siqi Wang
Yueyuan Gao
Aziz Benlarbi-Delai

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1676570

6,303 views
1 citation

Original Research

Published on 26 Sep 2025

Efficient spiking convolutional neural networks accelerator with multi-structure compatibility

in Neuromorphic Engineering

Jiadong Wu
Lun Lu
Yinan Wang
Zhiwei Li
Changlin Chen
Qingjiang Li
Kairang Chen

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1662886

3,882 views

Original Research

Published on 22 Sep 2025

Bidirectional dynamic threshold SNN for enhanced object detection with rich spike information

in Neuromorphic Engineering

Shaoxing Wu
Gang Wang
Yong Song
Yufei Zhao
Ya Zhou
Qingzhu Meng
Yizhao Liao

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1661916

3,747 views

Original Research

Published on 12 Sep 2025

Spike-based time-domain analog weighted-sum calculation model for extremely low power VLSI implementation of multi-layer neural networks

in Neuromorphic Engineering

Quan Wang
Hakaru Tamukoh
Takashi Morie

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1656892

4,274 views

Original Research

Published on 23 Jul 2025

SpiNeRF: direct-trained spiking neural networks for efficient neural radiance field rendering

in Neuromorphic Engineering

Xingting Yao
Qinghao Hu
Fei Zhou
Tielong Liu
Zitao Mo
Zeyu Zhu
Zhengyang Zhuge
Jian Cheng

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1593580

3,710 views
3 citations

565 articles

articles

Evolving spiking neural networks: the role of neuron models and encoding schemes in neuromorphic learning

Bidirectional cross-day alignment of neural spikes and behavior using a hybrid SNN-ANN algorithm

Spike-based Q-learning in a non-von Neumann architecture

Operational Manifolds in Spiking Neural Networks

Editorial: Theoretical advances and practical applications of spiking neural networks, volume II

Astrocyte-gated multi-timescale plasticity for online continual learning in deep spiking neural networks

An event-based opto-tactile skin

Overcoming quadratic hardware scaling for a fully connected digital oscillatory neural network

Sequential analysis and its applications to neuromorphic engineering

Ghost-LENet: A Robust Convolutional Neural Network for EEG-based Brain-Computer Interfaces

A hybrid Spiking Neural Network–Transformer architecture for motor imagery and sleep apnea detection

Editorial: Algorithm-hardware co-optimization in neuromorphic computing for efficient AI

SSEL: spike-based structural entropic learning for spiking graph neural networks

Review of deep learning models with Spiking Neural Networks for modeling and analysis of multimodal neuroimaging data

Editorial: Novel memristor-based devices and circuits for neuromorphic and AI applications, volume II

TDE-3: an improved prior for optical flow computation in spiking neural networks

Spiking neural networks for EEG signal analysis using wavelet transform

Balancing accuracy and efficiency: co-design of hybrid quantization and unified computing architecture for spiking neural networks

Network topological reorganization mechanisms of primary visual cortex under multimodal stimulation

A comparative review of deep and spiking neural networks for edge AI neuromorphic circuits

Efficient spiking convolutional neural networks accelerator with multi-structure compatibility

Bidirectional dynamic threshold SNN for enhanced object detection with rich spike information

Spike-based time-domain analog weighted-sum calculation model for extremely low power VLSI implementation of multi-layer neural networks

SpiNeRF: direct-trained spiking neural networks for efficient neural radiance field rendering