Frontiers in Computational Neuroscience

Original Research

Published on 26 Nov 2024

Spike-HAR++: an energy-efficient and lightweight parallel spiking transformer for event-based human action recognition

Xinxu Lin
Mingxuan Liu
Hong Chen

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1508297

3,200 views
5 citations

Original Research

Published on 20 Nov 2024

Model of the HVC neural network as a song motor in zebra finch

Pan Xia
Henry D. I. Abarbanel

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1417558

2,605 views

Original Research

Published on 19 Nov 2024

A novel method for optimizing epilepsy detection features through multi-domain feature fusion and selection

Guanqing Kong
Shuang Ma
Wei Zhao
Haifeng Wang
Qingxi Fu
Jiuru Wang

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1416838

2,995 views
7 citations

Brief Research Report

Published on 15 Nov 2024

Modeling functional connectivity changes during an auditory language task using line graph neural networks

Stein Acker
Jinqing Liang
Ninet Sinaii
Kristen Wingert
Atsuko Kurosu
Sunder Rajan
Sara Inati
William H. Theodore
Nadia Biassou

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1471229

3,035 views

Original Research

Published on 13 Nov 2024

Sex differences in brain MRI using deep learning toward fairer healthcare outcomes

Mahsa Dibaji
Johanna Ospel
Roberto Souza
Mariana Bento

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1452457

4,747 views
6 citations

Editorial

Published on 08 Nov 2024

Editorial: Computational modeling and machine learning methods in neurodevelopment and neurodegeneration: from basic research to clinical applications

Noemi Montobbio
Roberto Maffulli
Anees Abrol
Pablo Martínez-Cañada

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1514220

2,546 views
3 citations

Original Research

Published on 06 Nov 2024

Simulated synapse loss induces depression-like behaviors in deep reinforcement learning

Eric Chalmers
Santina Duarte
Xena Al-Hejji
Daniel Devoe
Aaron Gruber
Robert J. McDonald

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1466364

3,139 views
1 citation

Review

Published on 31 Oct 2024

Systematic review of cognitive impairment in drivers through mental workload using physiological measures of heart rate variability

Mansoor S. Raza
Mohsin Murtaza
Chi-Tsun Cheng
Muhana M. A. Muslam
Bader M. Albahlal

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1475530

4,181 views
7 citations

Original Research

Published on 30 Oct 2024

Facial emotion recognition using deep quantum and advanced transfer learning mechanism

Shtwai Alsubai
Abdullah Alqahtani
Abed Alanazi
Mohemmed Sha
Abdu Gumaei

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1435956

4,938 views
5 citations

Original Research

Published on 24 Oct 2024

BrainNet: an automated approach for brain stress prediction utilizing electrodermal activity signal with XLNet model

Liao Xuanzhi
Abeer Hakeem
Linda Mohaisen
Muhammad Umer
Muhammad Attique Khan
Shrooq Alsenan
Shtwai Alsubai
Nisreen Innab

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1482994

2,630 views
2 citations

Original Research

Published on 23 Oct 2024

Latent dynamics of primary sensory cortical population activity structured by fluctuations in the local field potential

Audrey Sederberg
Aurélie Pala
Garrett B. Stanley

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1445621

2,072 views
1 citation

Original Research

Published on 22 Oct 2024

Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation

Kauê T. N. Duarte
Abhijot S. Sidhu
Murilo C. Barros
David G. Gobbi
Cheryl R. McCreary
Feryal Saad
Richard Camicioli
Eric E. Smith
Mariana P. Bento
Richard Frayne

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1487877

3,300 views
3 citations

Original Research

Published on 21 Oct 2024

Data-centric automated approach to predict autism spectrum disorder based on selective features and explainable artificial intelligence

Asma Aldrees
Stephen Ojo
James Wanliss
Muhammad Umer
Muhammad Attique Khan
Bayan Alabdullah
Shtwai Alsubai
Nisreen Innab

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1489463

4,965 views
11 citations

Original Research

Published on 17 Oct 2024

A combinatorial deep learning method for Alzheimer’s disease classification-based merging pretrained networks

Houmem Slimi
Ala Balti
Sabeur Abid
Mounir Sayadi

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1444019

3,127 views
6 citations

Original Research

Published on 15 Oct 2024

Multi-scale asynchronous correlation and 2D convolutional autoencoder for adolescent health risk prediction with limited fMRI data

Di Gao
Guanghao Yang
Jiarun Shen
Fang Wu
Chao Ji

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1478193

1,795 views

Original Research

Published on 04 Oct 2024

Optimizing extubation success: a comparative analysis of time series algorithms and activation functions

Kuo-Yang Huang
Ching-Hsiung Lin
Shu-Hua Chi
Ying-Lin Hsu
Jia-Lang Xu

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1456771

2,084 views
5 citations

Systematic Review

Published on 04 Oct 2024

Decoding the application of deep learning in neuroscience: a bibliometric analysis

Yin Li
Zilong Zhong

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1402689

5,529 views
9 citations

Editorial

Published on 03 Oct 2024

Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II

Lei Deng
Huajin Tang
Kaushik Roy

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1455530

3,401 views
1 citation

Original Research

Published on 24 Sep 2024

Multi-label remote sensing classification with self-supervised gated multi-modal transformers

Na Liu
Ye Yuan
Guodong Wu
Sai Zhang
Jie Leng
Lihong Wan

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1404623

2,522 views
2 citations

Original Research

Published on 23 Sep 2024

Dynamical predictive coding with reservoir computing performs noise-robust multi-sensory speech recognition

Yoshihiro Yonemura
Yuichi Katori

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1464603

3,030 views
4 citations

Original Research

Published on 23 Sep 2024

Analyzing top-down visual attention in the context of gamma oscillations: a layer- dependent network-of- networks approach

Tianyi Zheng
Masato Sugino
Yasuhiko Jimbo
G. Bard Ermentrout
Kiyoshi Kotani

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1439632

2,338 views
1 citation

Review

Published on 20 Sep 2024

Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review

Wenjie Jin
XinXin Zhu
Lifeng Qian
Cunshu Wu
Fan Yang
Daowei Zhan
Zhaoyin Kang
Kaitao Luo
Dianhuai Meng
Guangxu Xu

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1431815

11,939 views
31 citations

Original Research

Published on 20 Sep 2024

Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices

Rosanna Turrisi
Alessandro Verri
Annalisa Barla

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1360095

4,602 views
10 citations

Hypothesis and Theory

Published on 09 Sep 2024

Reinforcement learning as a robotics-inspired framework for insect navigation: from spatial representations to neural implementation

Stephan Lochner
Daniel Honerkamp
Abhinav Valada
Andrew D. Straw

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1460006

3,959 views
4 citations

2,087 Publications

volumes

Volume 18 - 2024

Spike-HAR++: an energy-efficient and lightweight parallel spiking transformer for event-based human action recognition

Model of the HVC neural network as a song motor in zebra finch

A novel method for optimizing epilepsy detection features through multi-domain feature fusion and selection

Modeling functional connectivity changes during an auditory language task using line graph neural networks

Sex differences in brain MRI using deep learning toward fairer healthcare outcomes

Editorial: Computational modeling and machine learning methods in neurodevelopment and neurodegeneration: from basic research to clinical applications

Simulated synapse loss induces depression-like behaviors in deep reinforcement learning

Systematic review of cognitive impairment in drivers through mental workload using physiological measures of heart rate variability

Facial emotion recognition using deep quantum and advanced transfer learning mechanism

BrainNet: an automated approach for brain stress prediction utilizing electrodermal activity signal with XLNet model

Latent dynamics of primary sensory cortical population activity structured by fluctuations in the local field potential

Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation

Data-centric automated approach to predict autism spectrum disorder based on selective features and explainable artificial intelligence

A combinatorial deep learning method for Alzheimer’s disease classification-based merging pretrained networks

Multi-scale asynchronous correlation and 2D convolutional autoencoder for adolescent health risk prediction with limited fMRI data

Optimizing extubation success: a comparative analysis of time series algorithms and activation functions

Decoding the application of deep learning in neuroscience: a bibliometric analysis

Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II

Multi-label remote sensing classification with self-supervised gated multi-modal transformers

Dynamical predictive coding with reservoir computing performs noise-robust multi-sensory speech recognition

Analyzing top-down visual attention in the context of gamma oscillations: a layer- dependent network-of- networks approach

Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review

Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices

Reinforcement learning as a robotics-inspired framework for insect navigation: from spatial representations to neural implementation