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Manuscript Auditing →01Impact factor
Impact factor of Frontiers in Computational Neuroscience (2026)
The impact factor shown here is the 2-year mean citedness: citations received in a year by the papers Frontiers in Computational Neuroscience published in the two previous years, divided by the number of those papers. That is the same formula as the Journal Impact Factor, applied to the open citation data of OpenAlex. The journal is listed in JCR 2024, so it also has an official Journal Impact Factor published by Clarivate, which can differ because it counts citations from Web of Science journals only.
Rank in its subject categories
- Q1Mathematical & Computational Biologyrank 13 of 68 journals
- Q1Neurosciencesrank 70 of 321 journals
Quartiles here rank journals of the same Web of Science category by 2-year citedness; they are not the official JCR quartiles.
Citations and papers per year
Open access (listed in DOAJ); article processing charge listed at about US$3,801.
02Indexing
Indexing of Frontiers in Computational Neuroscience
- eISSN
- 1662-5188
- Publisher
- Frontiers Media SA
- Country
- Switzerland
- Language
- English
- Scopus source type
- Journal
- Web of Science categories
- Mathematical & Computational Biology, Neurosciences
From the indexing lists used on ScholarsColab, updated 1 March 2026. Indexing can change: confirm on the Web of Science Master Journal List or the Scopus source list before submitting. Official Journal Impact Factors and JCR quartiles are published by Clarivate; the impact factor and quartile on this page are calculated from OpenAlex open data (see how the impact factor works).
03What it publishes
What Frontiers in Computational Neuroscience publishes: real papers
Words that appear most often in the titles of the papers published here that we track. Choose one to see those papers:
04Published papers
Papers published in Frontiers in Computational Neuroscience
Papers from the publication records ScholarsColab tracks, with their year and citations. Author names are not shown.
- The impact of dynamic reversal potential on the evolution of action potential attributes during spike trains20260 citations
- Dynamic mode decomposition of resting-state fMRI revealing abnormal brain region features in schizophrenia20260 citations
- Machine learning identifies genes linked to neurological disorders induced by equine encephalitis viruses, traumatic brain injuries, and organophosphorus nerve …20250 citations
- Advancing epileptic seizure recognition through bidirectional LSTM networks20250 citations
- A new method for identifying and evaluating depressive disorders in young people based on cognitive neurocomputing: an exploratory study20250 citations
- Survey of temporal coding of sensory information20250 citations
- Interpretable machine learning for precision cognitive aging20250 citations
- Using noise to distinguish between system and observer effects in multimodal neuroimaging20250 citations
- Maximizing theoretical and practical storage capacity in single-layer feedforward neural networks20250 citations
- Neuromorphic energy economics: toward biologically inspired and sustainable power market design20250 citations
- GAME-Net: an ensemble deep learning framework integrating Generative Autoencoders and attention mechanisms for automated brain tumor segmentation in MRI20250 citations
- Sudden restructuring of memory representations in recurrent neural networks with repeated stimulus presentations20250 citations
- Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection20250 citations
- ModFus-PD: synergizing cross-modal attention and contrastive learning for enhanced multimodal diagnosis of Parkinson's disease20250 citations
- Circuit-level modeling of prediction error computation of multi-dimensional features in voluntary actions20250 citations
- Modeling cognition through adaptive neural synchronization: a multimodal framework using EEG, fMRI, and reinforcement learning20250 citations
- CNN-BiLSTM and DC-IGN fusion model and piecewise exponential attenuation optimization: an innovative approach to improve EEG emotion recognition …20250 citations
- Prefrontal meta-control incorporating mental simulation enhances the adaptivity of reinforcement learning agents in dynamic environments20250 citations
- Super special relativity20250 citations
- Intelligent rehabilitation in an aging population: empowering human-machine interaction for hand function rehabilitation through 3D deep learning and point cloud20250 citations
- Machine learning hypothesis-generation for patient stratification and target discovery in rare disease: our experience with Open Science in ALS20240 citations
- Research on adverse event classification algorithm of da Vinci surgical robot based on Bert-BiLSTM model20240 citations
- Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices20240 citations
- An exploratory computational analysis in mice brain networks of widespread epileptic seizure onset locations along with potential strategies for effective intervention …20240 citations
- Identification of Smith–Magenis syndrome cases through an experimental evaluation of machine learning methods20240 citations
- DT-SCNN: dual-threshold spiking convolutional neural network with fewer operations and memory access for edge applications20240 citations
- Advances in Shannon-based communications and computations approaches to understanding information processing in the brain20240 citations
- Computational modeling and machine learning methods in neurodevelopment and neurodegeneration: from basic research to clinical applications20240 citations
- End-to-end model-based trajectory prediction for ro-ro ship route using dual-attention mechanism20240 citations
- Learning delays through gradients and structure: emergence of spatiotemporal patterns in spiking neural networks20240 citations
- Synergy quality assessment of muscle modules for determining learning performance using a realistic musculoskeletal model20240 citations
- BrainNet: an automated approach for brain stress prediction utilizing electrodermal activity signal with XLNet model20240 citations
- Residual and bidirectional LSTM for epileptic seizure detection20240 citations
- Research on eight machine learning algorithms applicability on different characteristics data sets in medical classification tasks20240 citations
- Modeling functional connectivity changes during an auditory language task using line graph neural networks20240 citations
- Prediction of Alzheimer's disease stages based on ResNet-Self-attention architecture with Bayesian optimization and best features selection20240 citations
- Sex differences in brain MRI using deep learning toward fairer healthcare outcomes20240 citations
- Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examples20240 citations
- Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation20240 citations
- PointAS: an attention based sampling neural network for visual perception20240 citations
- Fusing the spatial structure of electroencephalogram channels can increase the individualization of the functional connectivity network20230 citations
- Ensemble deep learning for brain tumor detection20230 citations
- Information-theoretic analysis of Hierarchical Temporal Memory-Spatial Pooler algorithm with a new upper bound for the standard information bottleneck method20230 citations
- EEG electrode setup optimization using feature extraction techniques for neonatal sleep state classification20230 citations
- Self-decisive algorithm for unconstrained optimization problems as in biomedical image analysis20230 citations
- Leveraging neuro-inspired AI accelerator for high-speed computing in 6G networks20230 citations
- Towards best practice of interpreting deep learning models for EEG-based brain computer interfaces20230 citations
- High precision visual localization method of UAV based on feature matching20230 citations
- 15 years of frontiers in computational neuroscience-computational perception and cognition20230 citations
- Examining electroencephalogram signatures of people with multiple sclerosis using a nonlinear dynamics approach: a systematic review and bibliographic analysis20230 citations
- U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis20230 citations
- Computational intelligence for signal and image processing20230 citations
- Predictive neuromodulation of cingulo-frontal neural dynamics in major depressive disorder using a brain-computer interface system: A simulation study20230 citations
- Research on the multi-granularity method of role engineering20230 citations
- Research on the network handoff strategy based on the best access point name decision20230 citations
- New insights into binocular rivalry from the reconstruction of evolving percepts using model network dynamics20230 citations
- Monitoring time domain characteristics of Parkinson's disease using 3D memristive neuromorphic system20230 citations
- Classification of epileptic seizures in EEG data based on iterative gated graph convolution network20230 citations
- Toward a unifying framework for the modeling and identification of motor primitives20230 citations
- Soft error mitigation and recovery of SRAM-based FPGAs using brain-inspired hybrid-grained scrubbing mechanism20230 citations
- GAPCNN with HyPar: Global Average Pooling convolutional neural network with novel NNLU activation function and HYBRID parallelism20230 citations
- Prediction and analysis of time series data based on granular computing20230 citations
- Reservoir based spiking models for univariate time series classification20230 citations
- System-level brain modeling20230 citations
- Modeling autonomous shifts between focus state and mind-wandering using a predictive-coding-inspired variational recurrent neural network20230 citations
- Energy-based analog neural network framework20230 citations
- Dentate gyrus granule cell activation following extracellular electrical stimulation: a multi-scale computational model to guide hippocampal neurostimulation strategies20230 citations
- Exploring the neural basis of creativity: EEG analysis of power spectrum and functional connectivity during creative tasks in school-aged children20230 citations
- Kohonen neural network and symbiotic-organism search algorithm for intrusion detection of network viruses20230 citations
- Multimodal sleep staging network based on obstructive sleep apnea20230 citations
- Bayesian continual learning via spiking neural networks20230 citations
- Machine and deep-learning for computational neuroscience20230 citations
- Enhancing medical image privacy in IoT with bit-plane level encryption using chaotic map20230 citations
- A noninvasive bci system for 2d cursor control using a spectral-temporal long short-term memory network20220 citations
- Deep residual convolutional neural networks for brain–computer interface to visualize neural processing of hand movements in the human brain20220 citations
- A neural network model for timing control with reinforcement20220 citations
- Exploring parameter and hyper-parameter spaces of neuroscience models on high performance computers with learning to learn20220 citations
- SRI-EEG: state-based recurrent imputation for EEG artifact correction20220 citations
- Exploring spiking neural networks: a comprehensive analysis of mathematical models and applications20220 citations
- Multi-granularity analysis of brain networks assembled with intra-frequency and cross-frequency phase coupling for human EEG after stroke20220 citations
- Decoding digital visual stimulation from neural manifold with fuzzy leaning on cortical oscillatory dynamics20220 citations
- An adaptive information security system for 5g-enabled smart grid based on artificial neural network and case-based learning algorithms20220 citations
- The task pre-configuration is associated with cognitive performance evidence from the brain synchrony20220 citations
- Machine learning for computational neural modeling and data analyses20220 citations
- Cross-site scripting attack detection based on a modified convolution neural network20220 citations
- Sparse measures with swarm-based pliable hidden Markov model and deep learning for EEG classification20220 citations
- Detection of brain network communities during natural speech comprehension from functionally aligned EEG sources20220 citations
- A p300-detection method based on logistic regression and a convolutional neural network20220 citations
- Biologically plausible training mechanisms for self-supervised learning in deep networks20220 citations
- Emotion recognition based on dynamic energy features using a Bi-LSTM network20220 citations
- Cortical circuit-based lossless neural integrator for perceptual decision-making: A computational modeling study20220 citations
- Wgevia: a graph level embedding method for microcircuit data20210 citations
- Finger gesture recognition using sensing and classification of surface electromyography signals with high-precision wireless surface electromyography sensors20210 citations
- Improvement of multiparametric MR image segmentation by augmenting the data with generative adversarial networks for glioma patients20210 citations
- A study on arrhythmia via ECG signal classification using the convolutional neural network20210 citations
- Identification of emotion using electroencephalogram by tunable Q-factor wavelet transform and binary gray wolf optimization20210 citations
- cuSCNN: A Secure and Batch-Processing Framework for Privacy-Preserving Convolutional Neural Network Prediction on GPU20210 citations
- Toward software-equivalent accuracy on transformer-based deep neural networks with analog memory devices20210 citations
- Sparse granger causality analysis model based on sensors correlation for emotion recognition classification in electroencephalography20210 citations
- Identifying individuals with mild cognitive impairment using working memory-induced intra-subject variability of resting-state EEGs20210 citations
- The connectivity fingerprints of highly-skilled and disordered reading persist across cognitive domains20210 citations
- Accelerating inference of convolutional neural networks using in-memory computing20210 citations
- The face module emerged in a deep convolutional neural network selectively deprived of face experience20210 citations
- Unsupervised learning and clustered connectivity enhance reinforcement learning in spiking neural networks20210 citations
- InverseMuscleNET: Alternative machine learning solution to static optimization and inverse muscle modeling20210 citations
- On the validity of neural mass models20210 citations
- Event-based trajectory prediction using spiking neural networks20210 citations
- Synchronization, stochasticity, and phase waves in neuronal networks with spatially-structured connectivity20200 citations
- Measuring the non-linear directed information flow in schizophrenia by multivariate transfer entropy20200 citations
- Inhibition of long-term variability in decoding forelimb trajectory using evolutionary neural networks with error-correction learning20200 citations
- Do muscle synergies improve optimization prediction of muscle activations during gait?20200 citations
- Learning generative state space models for active inference20200 citations
- BrainOS: a novel artificial brain-alike automatic machine learning framework20200 citations
- Learning long temporal sequences in spiking networks by multiplexing neural oscillations20200 citations
- Transfer entropy as a measure of brain connectivity: A critical analysis with the help of neural mass models20200 citations
- A novel approach for fully automatic intra-tumor segmentation with 3D U-Net architecture for gliomas20200 citations
- Intra-and inter-subject variability in EEG-based sensorimotor brain computer interface: a review20200 citations
- The application of unsupervised clustering methods to Alzheimer's disease20190 citations
- Multi-method fusion of cross-subject emotion recognition based on high-dimensional EEG features20190 citations
- Automated detection of high-frequency oscillations in epilepsy based on a convolutional neural network20190 citations
- Intrinsic spine dynamics are critical for recurrent network learning in models with and without autism spectrum disorder20190 citations
- Data augmentation for brain-tumor segmentation: a review20190 citations
- Electroencephalogram-based single-trial detection of language expectation violations in listening to speech20190 citations
- Optimization of real-time EEG artifact removal and emotion estimation for human-robot interaction applications20190 citations
- Selection of the best electroencephalogram channel to predict the depth of anesthesia20190 citations
- Automatic brain tumor segmentation based on cascaded convolutional neural networks with uncertainty estimation20190 citations
- Linking molecular pathways and large-scale computational modeling to assess candidate disease mechanisms and pharmacodynamics in Alzheimer's disease20190 citations
- Hough transform implementation for event-based systems: Concepts and challenges20180 citations
- Theoretical principles of multiscale spatiotemporal control of neuronal networks: a complex systems perspective20180 citations
- EEG microstate sequences from different clustering algorithms are information-theoretically invariant20180 citations
- Evidence in support of the independent channel model describing the sensorimotor control of human stance using a humanoid robot20180 citations
- Metastable states of multiscale brain networks are keys to crack the timing problem20180 citations
- Recurrent deep neural networks for real-time sleep stage classification from single channel EEG20180 citations
- A retinotopic spiking neural network system for accurate recognition of moving objects using neucube and dynamic vision sensors20180 citations
- Initial unilateral exposure to deep brain stimulation in treatment-resistant depression patients alters spectral power in the subcallosal cingulate20180 citations
- Improving the nulling beamformer using subspace suppression20180 citations
- Support vector machines, multidimensional scaling and magnetic resonance imaging reveal structural brain abnormalities associated with the interaction between …20180 citations
- Estimation of neuromuscular primitives from EEG slow cortical potentials in incomplete spinal cord injury individuals for a new class of brain-machine interfaces20180 citations
- On the physiological modulation and potential mechanisms underlying parieto-occipital alpha oscillations20180 citations
- A comprehensive review of magnetoencephalography (MEG) studies for brain functionality in healthy aging and Alzheimer's disease (AD)20180 citations
- A novel approach for modeling neural responses to joint perturbations using the NARMAX method and a hierarchical neural network20180 citations
- Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the Manduca sexta Moth, With Applications to Neural Nets20180 citations
- Unsupervised feature learning with winner-takes-all based stdp20180 citations
- Epileptic seizure prediction based on permutation entropy20180 citations
- Thalamic bursts and the epic pain model20170 citations
- Automated detection of driver fatigue based on AdaBoost classifier with EEG signals20170 citations
- Equilibrium propagation: Bridging the gap between energy-based models and backpropagation20170 citations
- Estimating the information extracted by a single spiking neuron from a continuous input time series20170 citations
- A factor graph description of deep temporal active inference20170 citations
- Classification of EEG signals based on pattern recognition approach20170 citations
- Improving cross-day EEG-based emotion classification using robust principal component analysis20170 citations
- Decoding time-varying functional connectivity networks via linear graph embedding methods20170 citations
- Representational distance learning for deep neural networks20160 citations
- Does the cerebral cortex exploit high-dimensional, non-linear dynamics for information processing?20160 citations
- Normalization of pain-evoked neural reponses using spontaneous EEG improves the performance of EEG-based cross-individual pain prediction20160 citations
- Normalization of pain-evoked neural responses using spontaneous EEG improves the performance of EEG-based cross-individual pain prediction20160 citations
- Method for improving EEG based emotion recognition by combining it with synchronized biometric and eye tracking technologies in a non-invasive and low cost way20160 citations
- Affective interaction with a virtual character through an fNIRS brain-computer interface20160 citations
- A comparison of physiological signal analysis techniques and classifiers for automatic emotional evaluation of audiovisual contents20160 citations
- Stress assessment by prefrontal relative gamma20160 citations
- Wavelet entropy and directed acyclic graph support vector machine for detection of patients with unilateral hearing loss in MRI scanning20160 citations
- Visual cortex inspired CNN model for feature construction in text analysis20160 citations
- Convolutional neural network for multi-category rapid serial visual presentation BCI20150 citations
- Stochastic non-linear oscillator models of EEG: the Alzheimer's disease case20150 citations
- On the role of spatial phase and phase correlation in vision, illusion, and cognition20150 citations
- Coordinated reset stimulation in a large-scale model of the STN-GPe circuit20140 citations
- Emulated muscle spindle and spiking afferents validates VLSI neuromorphic hardware as a testbed for sensorimotor function and disease20140 citations
- Energy distribution property and energy coding of a structural neural network20140 citations
- Memory consolidation from seconds to weeks: a three-stage neural network model with autonomous reinstatement dynamics20140 citations
- Implementing the cellular mechanisms of synaptic transmission in a neural mass model of the thalamo-cortical circuitry20130 citations
- A computational model for preplay in the hippocampus20130 citations
- Graph theoretical analysis of resting magnetoencephalographic functional connectivity networks20130 citations
- Identification of preseizure states in epilepsy: a data-driven approach for multichannel EEG recordings20110 citations
- Dimensional reduction for the inverse problem of neural field theory20090 citations
05Reviewer comments
Reviewer comments and rejection reasons for Frontiers in Computational Neuroscience
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06Similar journals
Journals similar to Frontiers in Computational Neuroscience
Journals that publish the closest work to the papers above, from the indexing lists:
- Frontiers in NeuroscienceSCIEScopusJCR 202421 similar papers
- SustainabilitySCIESSCIScopusJCR 20245 similar papers
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07Journal Finder
Find the right journal for your paper
Is Frontiers in Computational Neuroscience right for your paper? Compare journals
Paste your title, keywords or abstract. We match it against 156,435 published journal papers, by ScholarsColab mentors and other researchers, and show where the closest work appeared, with each journal’s indexing (SCIE, SSCI, AHCI, ESCI, Scopus, JCR 2024).
How it works: no AI or language model is used. Your words are matched against the titles of real published journal papers, by our mentors and by other researchers (shown without names); journals are ranked by how many closely matching papers they published. Indexing comes from the SCIE, SSCI, AHCI, ESCI, Scopus and JCR 2024 lists, matched by journal name; “not found in our indexing lists” does not prove a journal is unindexed. Always check a journal’s scope and current indexing before submitting.
08Questions
Frequently asked questions
What is the impact factor of Frontiers in Computational Neuroscience?
Based on OpenAlex citation data (October 2026), the 2-year impact factor of Frontiers in Computational Neuroscience is 4.41: papers it published in the two previous years were cited 4.41 times on average in a year. The journal is listed in JCR 2024, so Clarivate also publishes an official Journal Impact Factor, which can differ.
What is the h-index of Frontiers in Computational Neuroscience?
The h-index of Frontiers in Computational Neuroscience is 105 (OpenAlex, October 2026): 105 of its papers have each been cited at least 105 times. Its i10-index is 1,252.
What is the APC of Frontiers in Computational Neuroscience?
OpenAlex lists an article processing charge (APC) of about US$3,801 for Frontiers in Computational Neuroscience, an open access journal (data from October 2026). APCs change and can differ by article type, country or discounts, so confirm the current charge on the journal’s website before submitting.
Is Frontiers in Computational Neuroscience a Q1 journal?
By 2-year citedness, Frontiers in Computational Neuroscience ranks 13 of 68 journals in Mathematical & Computational Biology, which places it in Q1 of that Web of Science category. This ranking is calculated by ScholarsColab from OpenAlex data; the official JCR quartile can differ.
Is Frontiers in Computational Neuroscience indexed in Scopus?
Yes. Frontiers in Computational Neuroscience appears in the Scopus list, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is Frontiers in Computational Neuroscience an SCIE journal?
Yes. Frontiers in Computational Neuroscience is listed in the Science Citation Index Expanded (SCIE), according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is Frontiers in Computational Neuroscience in Journal Citation Reports (JCR)?
Yes. Frontiers in Computational Neuroscience is listed in JCR 2024, so it has a Journal Impact Factor. For the current impact factor and quartile, check Journal Citation Reports.
What topics does Frontiers in Computational Neuroscience publish?
The papers published in Frontiers in Computational Neuroscience that we track most often mention network, neural, model, learning, brain, deep. Check the journal’s aims and scope for its full coverage.
How many papers published in Frontiers in Computational Neuroscience does ScholarsColab track?
We track 174 papers published in Frontiers in Computational Neuroscience between 2009 and 2026, cited 0 times in total, with a median of 0 citations per paper.
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