Frontiers in Computational Neuroscience

Original Research

Published on 10 Oct 2025

CRISP: a correlation-filtered recursive feature elimination and integration of SMOTE pipeline for gait-based Parkinson’s disease screening

Namra Afzal
Javaid Iqbal
Asim Waris
Muhammad Jawad Khan
Fawwaz Hazzazi
Hasnain Ali
Muhammad Adeel Ijaz
Syed Omer Gilani

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2025.1660963

1,657 views

Original Research

Accepted on 06 Oct 2025

Multiscale Intracranial EEG Dynamics Across Sleep–Wake States: Toward Memory-Related Processing

Juan Tenti
Monserrat Pallares Di Nunzio
Marisa Bab
Osvaldo Anibal Rosso
Fernando Montani
Marcelo Jose Fabian Arlego

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2025.1618191

106 views

Original Research

Accepted on 02 Oct 2025

Exploring Internal Representations of Self-supervised Networks: Few-shot Learning Abilities and Comparison with Human Semantics and Recognition of Objects

Asaki Kataoka
Yoshihiro Nagano
Masafumi Oizumi

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2025.1613291

165 views

Brief Research Report

Accepted on 01 Oct 2025

Sudden Restructuring of Memory Representations in Recurrent Neural Networks with Repeated Stimulus Presentations

Jonathon Richard Howlett

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2025.1601641

150 views

Original Research

Published on 29 Sep 2025

Circuit-level modeling of prediction error computation of multi-dimensional features in voluntary actions

Yishuang Huang
Yiling Li

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2025.1551555

1,649 views

Review

Accepted on 28 Sep 2025

Universal Differential Equations as a Unifying Modeling Language for Neuroscience

Ahmed ELGazzar
Marcel van Gerven

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2025.1677930

414 views

Original Research

Accepted on 25 Sep 2025

Using Noise to Distinguish Between System and Observer Effects in Multimodal Neuroimaging

Erik Fagerholm
Hirokazu Tanaka
Milan Brázdil

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2025.1693279

345 views

Original Research

Accepted on 18 Sep 2025

Advancing Epileptic Seizure Recognition Through Bidirectional LSTM Networks

Sanaa Almarzouki

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2025.1668358

669 views

Original Research

Accepted on 18 Sep 2025

Neuron synchronization analyzed through spatial-temporal attention

Haoming Yang
Pramod KC
Panyu Chen
Hong Lei
Simon Sponberg
Vahid Tarokh
Jeffrey A Riffell

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2025.1655462

753 views

Original Research

Published on 18 Sep 2025

Effects of AC induced electric fields on neuronal firing sensitivity and activity patterns

Chunhua Yuan
Rupei Chen
Xiangyu Li
Yueyang Zhao

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2025.1612314

1,640 views

Original Research

Published on 18 Sep 2025

Intrinsic calcium resonance and its modulation: insights from computational modeling

Rahul Kumar Rathour
Hanoch Kaphzan

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2025.1669841

1,541 views

Editorial

Published on 16 Sep 2025

Editorial: Advancements in smart diagnostics for understanding neurological behaviors and biosensing applications

Saad Arif
Muhammad Zia ur Rehman
Zohaib Mushtaq

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2025.1693327

1,398 views

Editorial

Published on 08 Sep 2025

Editorial: AI and inverse methods for building digital twins in neuroscience

Alain Nogaret
Ana Mirallave-Pescador
Maik Kschischo

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2025.1684335

1,587 views

Original Research

Published on 04 Sep 2025

Individualized connectomic tACS immediately improves oscillatory network with language facilitation in post-stroke aphasia: a feasibility study of a dysfunctome-based targeting approach

Chester Yee-Nok Cheung
Anthony Pak-Hin Kong
Mehdi Bakhtiar

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2025.1635497

1,658 views

Editorial

Published on 02 Sep 2025

Editorial: Neuro-detection: advancements in pattern detection and segmentation techniques in neuroscience

Najib Ben Aoun
Sadique Ahmad
Ridha Ejbali

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2025.1685174

1,465 views

Original Research

Accepted on 01 Sep 2025

AN AI METHODOLOGY TO REDUCE TRAINING INTENSITY, ERROR RATES. AND SIZE OF NEURAL NETWORKS - Thaddeus J. Kobylarz, Ph.D

Thaddeus Kobylarz

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2025.1628115

914 views

2,041 Publications

Volume 19 - 2025

CRISP: a correlation-filtered recursive feature elimination and integration of SMOTE pipeline for gait-based Parkinson’s disease screening

Multiscale Intracranial EEG Dynamics Across Sleep–Wake States: Toward Memory-Related Processing

Exploring Internal Representations of Self-supervised Networks: Few-shot Learning Abilities and Comparison with Human Semantics and Recognition of Objects

Sudden Restructuring of Memory Representations in Recurrent Neural Networks with Repeated Stimulus Presentations

Circuit-level modeling of prediction error computation of multi-dimensional features in voluntary actions

Universal Differential Equations as a Unifying Modeling Language for Neuroscience

Using Noise to Distinguish Between System and Observer Effects in Multimodal Neuroimaging

Advancing Epileptic Seizure Recognition Through Bidirectional LSTM Networks

Neuron synchronization analyzed through spatial-temporal attention

Effects of AC induced electric fields on neuronal firing sensitivity and activity patterns

Intrinsic calcium resonance and its modulation: insights from computational modeling

Editorial: Advancements in smart diagnostics for understanding neurological behaviors and biosensing applications

Editorial: AI and inverse methods for building digital twins in neuroscience

Individualized connectomic tACS immediately improves oscillatory network with language facilitation in post-stroke aphasia: a feasibility study of a dysfunctome-based targeting approach

Editorial: Neuro-detection: advancements in pattern detection and segmentation techniques in neuroscience

AN AI METHODOLOGY TO REDUCE TRAINING INTENSITY, ERROR RATES. AND SIZE OF NEURAL NETWORKS - Thaddeus J. Kobylarz, Ph.D