Frontiers in Neuroinformatics

Volume 19 - 2025

Original Research

Accepted on 24 Mar 2025

Radiomics-Driven Neuro-Fuzzy Framework for Rule Generation to Enhance Explainability in MRI-Based Brain Tumor Segmentation

Leondry Mayeta
Eduardo P. Cavieres
Matías Salinas
Diego Mellado
Sebastian Ponce
Francisco Torres Moyano
Steren Chabert
Marvin Querales
Julio Sotelo
Rodrigo Salas

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1550432

118 views

Technology and Code

Accepted on 19 Mar 2025

NESTML: a generic modeling language and code generation tool for the simulation of spiking neural networks with advanced plasticity rules

Charl Linssen
Pooja N. Babu
Jochen M Eppler
Luca Koll
Bernhard Rumpe
Abigail Morrison

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1544143

154 views

Perspective

Published on 19 Mar 2025

The quest to share data

Arthur W. Toga
Sidney Taiko Sheehan
Tyler Ard

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1570568

337 views

Original Research

Accepted on 17 Mar 2025

Large-scale EM Data Reveals Myelinated Axonal Changes and Altered Connectivity in the Corpus Callosum of an Autism Mouse Model

Guoqiang Zhao
Ao Cheng
Jiahao Shi
Peiyao Shi
Jun Guo
Chunying Yin
Hafsh Khan
Jiachi Chen
Pengcheng Wang
Jiao Chen

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1563799

Review

Accepted on 17 Mar 2025

Advancements in Deep Learning for Early Diagnosis of Alzheimer's Disease Using Multimodal Neuroimaging: Challenges and Future Directions

Muhammad Liaquat Raza
Syed Tawwasul Hassan
Subia Jamil
Noorulain Hyder
Kinza Batool
Sajidah Walji
Muhammad Khizar Abbas

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1557177

150 views

Original Research

Published on 14 Mar 2025

Developing a multiscale neural connectivity knowledgebase of the autonomic nervous system

Fahim T. Imam
Thomas H. Gillespie
Ilias Ziogas
Monique C. Surles-Zeigler
Susan Tappan
Burak I. Ozyurt
Jyl Boline
Bernard de Bono
Jeffrey S. Grethe
Maryann E. Martone

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1541184

386 views

Original Research

Accepted on 06 Mar 2025

Recognition of MI-EEG Signals by Extended-LSR-based Inductive Transfer Learning

Zhibin Jiang
Keli Hu
Jia Qu
Zekang Bian
Donghua Yu
Jie Zhou

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1559335

Original Research

Published on 03 Mar 2025

FAIR African brain data: challenges and opportunities

Eberechi Wogu
George Ogoh
Patrick Filima
Barisua Nsaanee
Bradley Caron
Franco Pestilli
Damian Eke

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1530445

708 views

Original Research

Published on 28 Feb 2025

Impact of interferon-β and dimethyl fumarate on nonlinear dynamical characteristics of electroencephalogram signatures in patients with multiple sclerosis

Christopher Ivan Hernandez
Natalia Afek
Magda Gawłowska
Paweł Oświęcimka
Magdalena Fafrowicz
Agnieszka Slowik
Marcin Wnuk
Monika Marona
Klaudia Nowak
Kamila Zur-Wyrozumska

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1519391

554 views

Original Research

Published on 27 Feb 2025

Effect of natural and synthetic noise data augmentation on physical action classification by brain–computer interface and deep learning

Yuri Gordienko
Nikita Gordienko
Vladyslav Taran
Anis Rojbi
Sergii Telenyk
Sergii Stirenko

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1521805

648 views

Original Research

Published on 19 Feb 2025

An action decoding framework combined with deep neural network for predicting the semantics of human actions in videos from evoked brain activities

Yuanyuan Zhang
Manli Tian
Baolin Liu

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1526259

400 views

Original Research

Published on 17 Feb 2025

Contrastive self-supervised learning for neurodegenerative disorder classification

Vadym Gryshchuk
Devesh Singh
Stefan Teipel
Martin Dyrba
the ADNI, AIBL, FTLDNI study groups

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1527582

1,004 views

Original Research

Published on 12 Feb 2025

Quantitative evaluation method of stroke association based on multidimensional gait parameters by using machine learning

Cheng Wang
Zhou Long
Xiang-Dong Wang
You-Qi Kong
Li-Chun Zhou
Wei-Hua Jia
Pei Li
Jing Wang
Xiao-Juan Wang
Tian Tian

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1544372

568 views

Brief Research Report

Published on 10 Feb 2025

The classification of absence seizures using power-to-power cross-frequency coupling analysis with a deep learning network

A.V. Medvedev
B. Lehmann

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1513661

638 views

Original Research

Published on 29 Jan 2025

Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM

Peipei Zeng
Shuimiao Kang
Fan Fan
Jiyuan Liu

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1530047

509 views

Volume 18 - 2024

Original Research

Published on 05 Feb 2025

Identifying natural inhibitors against FUS protein in dementia through machine learning, molecular docking, and dynamics simulation

Darwin Li

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1439090

711 views

Navigation group

Volumes

Volume 19 - 2025

Radiomics-Driven Neuro-Fuzzy Framework for Rule Generation to Enhance Explainability in MRI-Based Brain Tumor Segmentation

NESTML: a generic modeling language and code generation tool for the simulation of spiking neural networks with advanced plasticity rules

The quest to share data

Large-scale EM Data Reveals Myelinated Axonal Changes and Altered Connectivity in the Corpus Callosum of an Autism Mouse Model

Advancements in Deep Learning for Early Diagnosis of Alzheimer's Disease Using Multimodal Neuroimaging: Challenges and Future Directions

Developing a multiscale neural connectivity knowledgebase of the autonomic nervous system

Recognition of MI-EEG Signals by Extended-LSR-based Inductive Transfer Learning

FAIR African brain data: challenges and opportunities

Impact of interferon-β and dimethyl fumarate on nonlinear dynamical characteristics of electroencephalogram signatures in patients with multiple sclerosis

Effect of natural and synthetic noise data augmentation on physical action classification by brain–computer interface and deep learning

An action decoding framework combined with deep neural network for predicting the semantics of human actions in videos from evoked brain activities

Contrastive self-supervised learning for neurodegenerative disorder classification

Quantitative evaluation method of stroke association based on multidimensional gait parameters by using machine learning

The classification of absence seizures using power-to-power cross-frequency coupling analysis with a deep learning network

Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM

Volume 18 - 2024

Identifying natural inhibitors against FUS protein in dementia through machine learning, molecular docking, and dynamics simulation