Frontiers in Computational Neuroscience

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

1,684 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

2,076 views
2 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

1,386 views
2 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

1,850 views

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

1,977 views
1 citation

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

2,368 views

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

1,295 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

1,206 views

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

1,871 views
1 citation

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

3,059 views
2 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

1,760 views
4 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

1,020 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

1,145 views
3 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

2,702 views
4 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

1,754 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

1,128 views
1 citation