Frontiers in Neuroscience | Neuromorphic Engineering

Original Research

Published on 13 Nov 2024

Synchronized stepwise control of firing and learning thresholds in a spiking randomly connected neural network toward hardware implementation

in Neuromorphic Engineering

Kumiko Nomura
Yoshifumi Nishi

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1402646

1,288 views
1 citation

Original Research

Published on 12 Nov 2024

Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA

in Neuromorphic Engineering

Romain Beaubois
Jérémy Cheslet
Yoshiho Ikeuchi
Pascal Branchereau
Timothee Levi

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1457774

2,932 views
4 citations

Correction

Published on 05 Nov 2024

Corrigendum: Gradient-free training of recurrent neural networks using random perturbations

in Neuromorphic Engineering

Jesús García Fernández
Sander Keemink
Marcel van Gerven

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1511916

1,193 views

Editorial

Published on 30 Oct 2024

Editorial: From theory to practice: the latest developments in neuromorphic computing applications

in Neuromorphic Engineering

Arash Ahmadi
Shaghayegh Gomar
Majid Ahmadi

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1511987

4,089 views
1 citation

Editorial

Published on 07 Oct 2024

Editorial: Reviews and perspectives in neuromorphic engineering: novel neuromorphic computing approaches

in Neuromorphic Engineering

Pier Luigi Gentili
Siegfried Karg
Gyorgy Csaba
Konrad Szaciłowski

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1498684

2,058 views
1 citation

Original Research

Published on 23 Sep 2024

Energy-aware bio-inspired spiking reinforcement learning system architecture for real-time autonomous edge applications

in Neuromorphic Engineering

Joshua Ifeanyi Okonkwo
Mohamed S. Abdelfattah
Peyman Mirtaheri
Ali Muhtaroglu

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1431222

2,897 views
5 citations

Original Research

Published on 19 Sep 2024

Spiking representation learning for associative memories

in Neuromorphic Engineering

Naresh Ravichandran
Anders Lansner
Pawel Herman

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1439414

4,218 views
4 citations

Opinion

Published on 10 Sep 2024

Neuromorphic engineering in wetware: the state of the art and its perspectives

in Neuromorphic Engineering

Pier Luigi Gentili
Maria Pia Zurlo
Pasquale Stano

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1443121

4,206 views
10 citations

Original Research

Published on 06 Sep 2024

Memory-efficient neurons and synapses for spike-timing-dependent-plasticity in large-scale spiking networks

in Neuromorphic Engineering

Pablo Urbizagastegui
André van Schaik
Runchun Wang

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1450640

2,198 views
1 citation

Original Research

Published on 04 Sep 2024

SpQuant-SNN: ultra-low precision membrane potential with sparse activations unlock the potential of on-device spiking neural networks applications

in Neuromorphic Engineering

Ahmed Hasssan
Jian Meng
Anupreetham Anupreetham
Jae-sun Seo

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1440000

3,777 views
4 citations

Original Research

Published on 08 Aug 2024

SiamEFT: adaptive-time feature extraction hybrid network for RGBE multi-domain object tracking

in Neuromorphic Engineering

Shuqi Liu
Gang Wang
Yong Song
Jinxiang Huang
Yiqian Huang
Ya Zhou
Shiqiang Wang

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1453419

2,116 views
2 citations

Original Research

Published on 06 Aug 2024

Real-time execution of SNN models with synaptic plasticity for handwritten digit recognition on SIMD hardware

in Neuromorphic Engineering

Bernardo Vallejo-Mancero
Jordi Madrenas
Mireya Zapata

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1425861

4,117 views
2 citations

Original Research

Published on 05 Aug 2024

BayesianSpikeFusion: accelerating spiking neural network inference via Bayesian fusion of early prediction

in Neuromorphic Engineering

Takehiro Habara
Takashi Sato
Hiromitsu Awano

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1420119

2,600 views
2 citations

Review

Published on 31 Jul 2024

Direct training high-performance deep spiking neural networks: a review of theories and methods

in Neuromorphic Engineering

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

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1383844

16,469 views
28 citations

Original Research

Published on 24 Jul 2024

Paired competing neurons improving STDP supervised local learning in spiking neural networks

in Neuromorphic Engineering

Gaspard Goupy
Pierre Tirilly
Ioan Marius Bilasco

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1401690

3,848 views
8 citations

Original Research

Published on 23 Jul 2024

Auto-Spikformer: Spikformer architecture search

in Neuromorphic Engineering

Kaiwei Che
Zhaokun Zhou
Jun Niu
Zhengyu Ma
Wei Fang
Yanqi Chen
Shuaijie Shen
Li Yuan
Yonghong Tian

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1372257

2,546 views
12 citations

Original Research

Published on 10 Jul 2024

Gradient-free training of recurrent neural networks using random perturbations

in Neuromorphic Engineering

Jesús García Fernández
Sander Keemink
Marcel van Gerven

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1439155

5,111 views
8 citations

Original Research

Published on 26 Jun 2024

A lightweight data-driven spiking neuronal network model of Drosophila olfactory nervous system with dedicated hardware support

in Neuromorphic Engineering

Takuya Nanami
Daichi Yamada
Makoto Someya
Toshihide Hige
Hokto Kazama
Takashi Kohno

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1384336

3,451 views

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

2,602 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

2,878 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

6,235 views
5 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

6,667 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

5,162 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

2,789 views
2 citations

559 articles

articles

Synchronized stepwise control of firing and learning thresholds in a spiking randomly connected neural network toward hardware implementation

Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA

Corrigendum: Gradient-free training of recurrent neural networks using random perturbations

Editorial: From theory to practice: the latest developments in neuromorphic computing applications

Editorial: Reviews and perspectives in neuromorphic engineering: novel neuromorphic computing approaches

Energy-aware bio-inspired spiking reinforcement learning system architecture for real-time autonomous edge applications

Spiking representation learning for associative memories

Neuromorphic engineering in wetware: the state of the art and its perspectives

Memory-efficient neurons and synapses for spike-timing-dependent-plasticity in large-scale spiking networks

SpQuant-SNN: ultra-low precision membrane potential with sparse activations unlock the potential of on-device spiking neural networks applications

SiamEFT: adaptive-time feature extraction hybrid network for RGBE multi-domain object tracking

Real-time execution of SNN models with synaptic plasticity for handwritten digit recognition on SIMD hardware

BayesianSpikeFusion: accelerating spiking neural network inference via Bayesian fusion of early prediction

Direct training high-performance deep spiking neural networks: a review of theories and methods

Paired competing neurons improving STDP supervised local learning in spiking neural networks

Auto-Spikformer: Spikformer architecture search

Gradient-free training of recurrent neural networks using random perturbations

A lightweight data-driven spiking neuronal network model of Drosophila olfactory nervous system with dedicated hardware support

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