
Academic Journal
Q3Frontiers in Computational Neuroscience
About Frontiers in Computational Neuroscience
Frontiers in Computational Neuroscience is a scholarly journal published by Frontiers Media SA. SCImago 2025 lists it in Q3, with an SJR of 0.688 and H-index of 86.
Coverage: 2007-2026. Research categories: Cellular and Molecular Neuroscience (Q3); Neuroscience (miscellaneous) (Q3).
Open-access policies and author information
Reported in the official DOAJ public CSV snapshot (2026-09-01), downloaded 2026-10-03. Record updated 2026-03-12. This snapshot does not establish today’s listing status or fee quotation.
Publisher policy links recorded by DOAJ
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Source: DOAJ journal record. Journal metadata is distributed by DOAJ under CC0. Confirm current fees, tax, eligibility and waiver terms with the publisher.
Source-backed journal facts
Topics in published research
Neural dynamics and brain function; EEG and Brain-Computer Interfaces; Advanced Memory and Neural Computing; Functional Brain Connectivity Studies; Neuroscience and Neural Engineering; Neural Networks and Applications.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
An in silico cortico-basal ganglia-thalamic testbed for comparing visual and deep brain stimulation in Parkinson’s disease
Chun-Hui Huang, Wen-Shuo Chen, Jin-Rong Lai, Chia-Hung Cho et al.
2026-10-02 · DOI: 10.3389/fncom.2026.1950516A sliding window and Fourier decomposition method based 1D-CNN framework for motor imagery EEG classification
B. S. S. Tejesh, Karra Bhaskar, M. Sivaji, Ravisankar Dakupati et al.
2026-10-02 · DOI: 10.3389/fncom.2026.1945160MEMOIR-VLM—a multimodal vision-language model for Alzheimer's disease classification and question answering
Sohail Haresh Gidwani, Tamoghna Chattopadhyay, Sophia I. Thomopoulos, Paul M. Thompson et al.
2026-10-01 · DOI: 10.3389/fncom.2026.1902258Network-level restoration of impaired memory function in early Alzheimer’s disease via GluN2B modulation: insights from a hippocampal CA1–CA3 model
Fabio Librizzi, Saana Seppälä, Marja-Leena Linne, Michele Migliore et al.
2026-10-01 · DOI: 10.3389/fncom.2026.1953352An innovative framework based on GMV-ALFF multi-modal MRI and Gaussian data augmentation for psychiatric disorder classification
Wenjing Zhu, Xiaoying Jiang
2026-09-30 · DOI: 10.3389/fncom.2026.1835559A computational roadmap to activity-dependent myelination
Thomas Nguyen, Jeremie Lefebvre
2026-09-25 · DOI: 10.3389/fncom.2026.1895171A high-precision synchronization and centroid-based framework for single-trial decoding of perceived natural speech
Cristian Y. Olivares, Norelli Schettini
2026-09-23 · DOI: 10.3389/fncom.2026.1947069How to train your neuron: developing a detailed, up-to-date, multipurpose model of hippocampal CA1 pyramidal cells
Luca Tar, Sára Sáray, Máté Mohácsi, Tamás F. Freund et al.
2026-09-22 · DOI: 10.3389/fncom.2026.1897214Locality and weight sharing shape Hebbian principal-component learning in biologically constrained visual models
Patrick Inoue, Florian Röhrbein, Andreas Knoblauch
2026-09-21 · DOI: 10.3389/fncom.2026.1943064Editorial: Theoretical and computational insights into brain-based cognition
José Roberto Castilho Piqueira, Antonio C. Roque, Renato Teodoro Ramos
2026-09-21 · DOI: 10.3389/fncom.2026.1986598A subject-specific mechanistic model of affect links electroencephalography, cardiorespiratory feedback, and monoaminergic dynamics
Masami Iwamoto
2026-09-18 · DOI: 10.3389/fncom.2026.1875657Design principles for cost functions in optimal sensory coding
Veronika Koren, Stefano Panzeri
2026-09-18 · DOI: 10.3389/fncom.2026.1924396Neural state reduction: a quantum-inspired framework for how latent conscious thought becomes reportable
A. K. Pradeep
2026-09-17 · DOI: 10.3389/fncom.2026.1865388Editorial: Computational neuroethology: simulating natural behaviors
Arij Daou, Angel A. Caputi
2026-09-14 · DOI: 10.3389/fncom.2026.1971192Editorial: Complex network dynamics of cognitive processing in health and disease: current knowledge and future research
Simone Cauzzo, Camillo Porcaro, Chandan Kumar Behera, Suriya Prakash Muthukrishnan et al.
2026-09-11 · DOI: 10.3389/fncom.2026.1976480Going deeper with morphologically detailed neural networks by simulation-based gradient propagation
Gan He, Kai Du, Tiejun Huang
2026-09-10 · DOI: 10.3389/fncom.2026.1904220Editorial: Modern applications of EEG in neurological and cognitive research
Kuldeep Singh, Rajamanickam Yuvaraj, Geetanjali Sharma, Amit Joshi et al.
2026-09-10 · DOI: 10.3389/fncom.2026.1969406Editorial: Machine learning algorithms and software tools for early detection and prognosis of schizophrenia
Amit Singhal, Megha Agarwal, Animesh Kumar Paul, Bishal Lamichhane et al.
2026-09-09 · DOI: 10.3389/fncom.2026.1966648Reduced dynamical variability in depression: evidence from EEG and QIF-E network simulation
Gabriel Moreno Cunha, Gisele Santana, Jose Garcia Vivas Miranda, Gilberto Corso et al.
2026-08-27 · DOI: 10.3389/fncom.2026.1899952Microstructural spine alterations increase neuronal excitability in focal cortical dysplasia Type I
Jawon Gim, Na-Young Seo, Gyu Hyun Kim, Kea Joo Lee et al.
2026-08-26 · DOI: 10.3389/fncom.2026.1862383Reviews
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Version History
October 4, 2026 at 9:09 pm
October 2, 2026