Frontiers in Neuroscience | Neuromorphic Engineering

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

577 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

921 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

1,516 views
1 citation

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

2,087 views

Original Research

Published on 18 Nov 2024

Memristor-based model of neuronal excitability and synaptic potentiation

in Neuromorphic Engineering

Ivan M. Kipelkin
Svetlana A. Gerasimova
Alexey I. Belov
Davud V. Guseinov
Alexander V. Kruglov
Dmitry A. Serov
Max O. Talanov
Alexey N. Mikhaylov
Victor B. Kazantsev

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1456386

1,347 views
1 citation

Original Research

Published on 14 Nov 2024

A neuromorphic event data interpretation approach with hardware reservoir

in Neuromorphic Engineering

Hanrui Li
Dayanand Kumar
Nazek El-Atab

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1467935

712 views

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

526 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

1,217 views
2 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

606 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

1,639 views

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

1,094 views

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

1,341 views

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

1,794 views
2 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

1,879 views
3 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

1,002 views

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

1,420 views