Frontiers in Neuroscience | Neuromorphic Engineering

Original Research

Published on 25 Feb 2025

Toward autonomous event-based sensorimotor control with supervised gait learning and obstacle avoidance for robot navigation

in Neuromorphic Engineering

Shahin Hashemkhani
Vijay Shankaran Vivekanand
Samarth Chopra
Rajkumar Kubendran

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1492436

201 views

Original Research

Accepted on 24 Feb 2025

Foveal Vision Reduces Neural Resources in Agent-Based Game Learning

in Neuromorphic Engineering

Runping Chen
Gerd J Kunde
Louis Tao
Andrew T Sornborger

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1547264

Original Research

Accepted on 24 Feb 2025

SpikeAtConv: An Integrated Spiking-Convolutional Attention Architecture for Energy-Efficient Neuromorphic Vision Processing

in Neuromorphic Engineering

Wangdan Liao
Fei Chen
Changyue Liu
Weidong Wang
Hongyun Liu

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1536771

Methods

Published on 21 Feb 2025

Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding

in Neuromorphic Engineering

Yu Song
Liyuan Han
Tielin Zhang
Bo Xu

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1551656

281 views

Original Research

Published on 19 Feb 2025

Optimizing event-driven spiking neural network with regularization and cutoff

in Neuromorphic Engineering

Dengyu Wu
Gaojie Jin
Han Yu
Xinping Yi
Xiaowei Huang

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1522788

389 views

Original Research

Published on 14 Feb 2025

Evaluation of fluxon synapse device based on superconducting loops for energy efficient neuromorphic computing

in Neuromorphic Engineering

Ashwani Kumar
Uday S. Goteti
Ertugrul Cubukcu
Robert C. Dynes
Duygu Kuzum

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1511371

537 views

Original Research

Published on 05 Feb 2025

Scalable network emulation on analog neuromorphic hardware

in Neuromorphic Engineering

Elias Arnold
Philipp Spilger
Jan V. Straub
Eric Müller
Dominik Dold
Gabriele Meoni
Johannes Schemmel

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1523331

494 views

Original Research

Published on 04 Feb 2025

Low-latency hierarchical routing of reconfigurable neuromorphic systems

in Neuromorphic Engineering

Samalika Perera
Ying Xu
André van Schaik
Runchun Wang

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1493623

476 views

Original Research

Published on 03 Feb 2025

EEG analysis of speaking and quiet states during different emotional music stimuli

in Neuromorphic Engineering

Xianwei Lin
Xinyue Wu
Zefeng Wang
Zhengting Cai
Zihan Zhang
Guangdong Xie
Lianxin Hu
Laurent Peyrodie

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1461654

428 views

Original Research

Published on 29 Jan 2025

Fourier or Wavelet bases as counterpart self-attention in spikformer for efficient visual classification

in Neuromorphic Engineering

Qingyu Wang
Duzhen Zhang
Xinyuan Cai
Tielin Zhang
Bo Xu

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1516868

334 views

Original Research

Published on 22 Jan 2025

A recurrent YOLOv8-based framework for event-based object detection

in Neuromorphic Engineering

Diego A. Silva
Kamilya Smagulova
Ahmed Elsheikh
Mohammed E. Fouda
Ahmed M. Eltawil

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1477979

744 views

Original Research

Accepted on 13 Jan 2025

Design of CMOS-memristor hybrid synapse and its application for noise-tolerant memristive spiking neural network

in Neuromorphic Engineering

Jae Gwang Lim
Sang Min Lee
Sung-Jae Park
Joon Young Kwak
YeonJoo Jeong
Jaewook Kim
Suyoun Lee
Jongkil Park
Gyu Weon Hwang
Kyeong-Seok Lee

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1516971

264 views

Original Research

Published on 07 Jan 2025

ClinClip: a Multimodal Language Pre-training model integrating EEG data for enhanced English medical listening assessment

in Neuromorphic Engineering

Guangyu Sun

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1493163

365 views

Original Research

Published on 17 Dec 2024

An all integer-based spiking neural network with dynamic threshold adaptation

in Neuromorphic Engineering

Chenglong Zou
Xiaoxin Cui
Shuo Feng
Guang Chen
Yi Zhong
Zhenhui Dai
Yuan Wang

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1449020

674 views

Review

Published on 16 Dec 2024

Brain-like hardware, do we need it?

in Neuromorphic Engineering

Francesca Borghi
Thierry R. Nieus
Davide E. Galli
Paolo Milani

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1465789

1,306 views

Opinion

Published on 04 Dec 2024

Toward brain-inspired foundation model for EEG signal processing: our opinion

in Neuromorphic Engineering

Suhan Cui
Dongwon Lee
Dong Wen

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1507654

1,534 views

Navigation group

Articles

Toward autonomous event-based sensorimotor control with supervised gait learning and obstacle avoidance for robot navigation

Foveal Vision Reduces Neural Resources in Agent-Based Game Learning

SpikeAtConv: An Integrated Spiking-Convolutional Attention Architecture for Energy-Efficient Neuromorphic Vision Processing

Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding

Optimizing event-driven spiking neural network with regularization and cutoff

Evaluation of fluxon synapse device based on superconducting loops for energy efficient neuromorphic computing

Scalable network emulation on analog neuromorphic hardware

Low-latency hierarchical routing of reconfigurable neuromorphic systems

EEG analysis of speaking and quiet states during different emotional music stimuli

Fourier or Wavelet bases as counterpart self-attention in spikformer for efficient visual classification

A recurrent YOLOv8-based framework for event-based object detection

Design of CMOS-memristor hybrid synapse and its application for noise-tolerant memristive spiking neural network

ClinClip: a Multimodal Language Pre-training model integrating EEG data for enhanced English medical listening assessment

An all integer-based spiking neural network with dynamic threshold adaptation

Brain-like hardware, do we need it?

Toward brain-inspired foundation model for EEG signal processing: our opinion