Frontiers in Neuroinformatics

Original Research

Published on 16 Jul 2025

Breaking barriers: broadening neuroscience education via cloud platforms and course-based undergraduate research

Franco Delogu
Chantol Aspinall
Kimberly Ray
Anibal Solon Heinsfeld
Conner Victory
Franco Pestilli

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1608900

1,638 views

Original Research

Published on 08 Jul 2025

Decoding event-related potentials: single-dose energy dietary supplement acts on earlier brain processes than we thought

Karina J. Maciejewska

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1563893

1,336 views

Original Research

Published on 01 Jul 2025

Digitoids: a novel computational platform for mimicking oxygen-dependent firing of neurons in vitro

Rachele Fabbri
Ermes Botte
Arti Ahluwalia
Chiara Magliaro

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1549916

1,478 views

Original Research

Published on 27 Jun 2025

From pronounced to imagined: improving speech decoding with multi-condition EEG data

Denise Alonso-Vázquez
Omar Mendoza-Montoya
Ricardo Caraza
Hector R. Martinez
Javier M. Antelis

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1583428

1,989 views

Review

Published on 18 Jun 2025

Bridging neuroscience and AI: a survey on large language models for neurological signal interpretation

Sreejith Chandrasekharan
Jisu Elsa Jacob

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1561401

4,032 views

Editorial

Published on 18 Jun 2025

Editorial: Advanced EEG analysis techniques for neurological disorders

Jisu Elsa Jacob
Sreejith Chandrasekharan

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1637890

1,515 views

Original Research

Published on 13 Jun 2025

Evaluating machine learning pipelines for multimodal neuroimaging in small cohorts: an ALS case study

Shailesh Appukuttan
Aude-Marie Grapperon
Mounir Mohamed El Mendili
Hugo Dary
Maxime Guye
Annie Verschueren
Jean-Philippe Ranjeva
Shahram Attarian
Wafaa Zaaraoui
Matthieu Gilson

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1568116

1,874 views

Technology and Code

Published on 04 Jun 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

3,312 views
2 citations

Original Research

Published on 14 May 2025

Modeling of whole brain sleep electroencephalogram using deep oscillatory neural network

Sayan Ghosh
Dipayan Biswas
N. R. Rohan
Sujith Vijayan
V. Srinivasa Chakravarthy

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1513374

3,059 views
1 citation

Technology and Code

Published on 06 May 2025

Net2Brain: a toolbox to compare artificial vision models with human brain responses

Domenic Bersch
Martina G. Vilas
Sari Saba-Sadiya
Timothy Schaumlöffel
Kshitij Dwivedi
Christina Sartzetaki
Radoslaw M. Cichy
Gemma Roig

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1515873

2,504 views

Review

Published on 02 May 2025

Advancements in deep learning for early diagnosis of Alzheimer’s disease using multimodal neuroimaging: challenges and future directions

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

Frontiers in Neuroinformatics

doi 10.3389/fninf.2025.1557177

6,755 views
3 citations

Original Research

Published on 17 Apr 2025

Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation

Leondry Mayeta-Revilla
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

3,152 views
1 citation

Original Research

Published on 11 Apr 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

2,303 views
1 citation

Original Research

Published on 09 Apr 2025

Recognition of MI-EEG signals using 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

1,627 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

1,683 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

2,370 views
1 citation

1,122 Publications

Volume 19 - 2025

Breaking barriers: broadening neuroscience education via cloud platforms and course-based undergraduate research

Decoding event-related potentials: single-dose energy dietary supplement acts on earlier brain processes than we thought

Digitoids: a novel computational platform for mimicking oxygen-dependent firing of neurons in vitro

From pronounced to imagined: improving speech decoding with multi-condition EEG data

Bridging neuroscience and AI: a survey on large language models for neurological signal interpretation

Editorial: Advanced EEG analysis techniques for neurological disorders

Evaluating machine learning pipelines for multimodal neuroimaging in small cohorts: an ALS case study

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

Modeling of whole brain sleep electroencephalogram using deep oscillatory neural network

Net2Brain: a toolbox to compare artificial vision models with human brain responses

Advancements in deep learning for early diagnosis of Alzheimer’s disease using multimodal neuroimaging: challenges and future directions

Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation

Large-scale EM data reveals myelinated axonal changes and altered connectivity in the corpus callosum of an autism mouse model

Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning

The quest to share data

Developing a multiscale neural connectivity knowledgebase of the autonomic nervous system