Frontiers in Computational Neuroscience

Papers
(The median citation count of Frontiers in Computational Neuroscience is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Editorial: Symmetry as a guiding principle in artificial and brain neural networks173
Research on efficient feature extraction: Improving YOLOv5 backbone for facial expression detection in live streaming scenes131
Further N-Frame networking dynamics of conscious observer-self agents via a functional contextual interface: predictive coding, double-slit quantum mechanical experiment, and decision-making fallacy m121
NeuroFusionNet: cross-modal modeling from brain activity to visual understanding96
High precision visual localization method of UAV based on feature matching74
Predictive coding with spiking neurons and feedforward gist signaling72
Feature fusion and WOA-GWO optimization for Alzheimer’s disease detection with sparse EEG channels63
Short-term postsynaptic plasticity facilitates predictive tracking in continuous attractors53
Reinforced liquid state machines—new training strategies for spiking neural networks based on reinforcements53
FacialNet: facial emotion recognition for mental health analysis using UNet segmentation with transfer learning model52
Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices49
A novel multi-feature fusion attention neural network for the recognition of epileptic EEG signals48
Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review47
AI-driven audience clustering in sport media: a human–computer interaction approach using ‘CoPE-DEC’44
Production of adaptive movement patterns via an insect inspired spiking neural network central pattern generator38
Neurocognition, cerebellar functions and psychiatric features in spinocerebellar ataxia type 34: a case series37
Super special relativity36
Editorial: The embodied brain: computational mechanisms of integrated sensorimotor interactions with a dynamic environment, volume II34
Online spike-based recognition of digits with ultrafast microlaser neurons34
The mesoanatomy of the cortex, minimization of free energy, and generative cognition31
Common characteristics of variants linked to autism spectrum disorder in the WAVE regulatory complex30
Sudden restructuring of memory representations in recurrent neural networks with repeated stimulus presentations29
DTCNet: finger flexion decoding with three-dimensional ECoG data27
Text clustering based on pre-trained models and autoencoders27
Editorial: Neuromorphic and deep learning paradigms for neural data interpretation and computational neuroscience26
Toward a computational theory of manifold untangling: from global embedding to local flattening25
Quantitative prediction of intracellular dynamics and synaptic currents in a small neural circuit24
A comprehensive neural simulation of slow-wave sleep and highly responsive wakefulness dynamics23
A nullcline-guided discrete-time map for neurons with subcritical Hopf bifurcation dynamics23
Neural-network-inspired federated coordination for noise-tolerant distributed optimization in cyber-physical demand-side management23
Multiscale modeling of neuronal dynamics in hippocampus CA121
The cognitive impacts of large language model interactions on problem solving and decision making using EEG analysis21
Computer vision quantization research on the architectural color of Avenida de Almeida Ribeiro in Macau based on the human eye perspective21
Editorial: The new frontier in brain network physiology: from temporal dynamics to the principles of integration in physiological brain networks21
Performance control study of interleaved meltblown non-woven materials based on statistical analysis and predictive modeling21
Multimodal sleep staging network based on obstructive sleep apnea21
Editorial: Decoding novel therapeutic targets, biomarkers, and drug development strategies against neurodegenerative disorders—A multi-omics approach21
Grid cells, border cells, and discrete complex analysis21
Patient-specific approach using data fusion and adversarial training for epileptic seizure prediction20
SBR-YOLO: context-position attention and adaptive feature fusion for student behavior recognition19
Contralateral dominance emerges from geometric transformation in bilateral control systems19
The effect of hearing impairment and social participation on depressive symptoms in older adults: a cross-lagged analysis18
Corrigendum: Decoding neuropathic pain: Can we predict fluctuations of propagation speed in stimulated peripheral nerve?18
Neuro-environmental interactions: a time sensitive matter18
A critical analysis of MBTI-based personality profiling with large language models18
Editorial: Cerebellar computations across the lifespan18
Ayu-Characterization of healthy aging from neuroimaging data with deep learning and rsfMRI18
Temporal codes and recurrent timing nets for rhythmic expectancy17
Editorial: Psychological and cognitive evaluation and intervention based on physiological and behavioral computing17
Heart disease detection based on internet of things data using linear quadratic discriminant analysis and a deep graph convolutional neural network17
ModFus-PD: synergizing cross-modal attention and contrastive learning for enhanced multimodal diagnosis of Parkinson’s disease17
Hybrid deep spatial and statistical feature fusion for accurate MRI brain tumor classification17
Reservoir based spiking models for univariate Time Series Classification17
Information flow drives localized morphological differences across neuronal and glial cell types16
iSeizdiag: toward the framework development of epileptic seizure detection for healthcare16
Perineuronal nets restrict transport near the neuron surface: A coarse-grained molecular dynamics study16
Population-level neural rejuvenation dynamics in addiction: a computational framework for understanding developmental plasticity reactivation16
Deep learning for detecting prenatal alcohol exposure in pediatric brain MRI: a transfer learning approach with explainability insights16
Decoding the application of deep learning in neuroscience: a bibliometric analysis15
The decoupling between hemodynamic parameters and neural activity implies a complex origin of spontaneous brain oscillations15
Flexible intentions: An Active Inference theory15
Smoking behavior detection algorithm based on YOLOv8-MNC14
Editorial: Recent advances in EEG (non-invasive) based BCI applications14
Ensemble deep learning for brain tumor detection14
Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks14
Towards best practice of interpreting deep learning models for EEG-based brain computer interfaces14
Towards precision medicine in Tourette syndrome: a perspective on AI-driven predictive modelling and personalised care14
Triboelectric nanogenerators for neural data interpretation: bridging multi-sensing interfaces with neuromorphic and deep learning paradigms13
Feedback stabilization of probabilistic finite state machines based on deep Q-network13
A computational approach based on weighted gene co-expression network analysis for biomarkers analysis of Parkinson’s disease and construction of diagnostic model13
A novel associative memory model based on semi-tensor product (STP)13
Neuronal and behavioral affective perceptions of human and naturalness-reduced emotional prosodies13
Nonlinear analysis of neuronal firing modulated by sinusoidal stimulation at axons in rat hippocampus12
End-to-end model-based trajectory prediction for ro-ro ship route using dual-attention mechanism12
MEG state dynamics of sentence generation: evidence for a compensatory segmentation mechanism in healthy aging12
Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection12
Editorial: Interdisciplinary synergies in neuroinformatics, cognitive computing, and computational neuroscience12
On the similarities of representations in artificial and brain neural networks for speech recognition12
NeuralVisionNet: a probabilistic neural process model for continuous visual anticipation12
Individualized connectomic tACS immediately improves oscillatory network with language facilitation in post-stroke aphasia: a feasibility study of a dysfunctome-based targeting approach12
Advancing epileptic seizure recognition through bidirectional LSTM networks12
Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II12
LGNN: a novel linear graph neural network algorithm12
Improving imbalance classification via ensemble learning based on two-stage learning12
Regulation of sharp wave-ripples by cholecystokinin-expressing interneurons and parvalbumin-expressing basket cells in the hippocampal CA3 region12
Editorial: Advancements in neural coding: sensory perception and multiplexed encoding strategies11
Simplex polynomial in complex networks and its applications to compute the Euler characteristic11
Dynamics of a model for the degradation mechanism of aggregated α-synuclein in Parkinson's disease11
A machine learning approach to evaluate the impact of virtual balance/cognitive training on fall risk in older women11
Editorial: Neuro-inspired sensing and computing: Novel materials, devices, and systems11
Leveraging conscious and nonconscious learning for efficient AI11
A spatial map: a propitious choice for constraining the binding problem11
CRISP: a correlation-filtered recursive feature elimination and integration of SMOTE pipeline for gait-based Parkinson’s disease screening11
Clustering and disease subtyping in Neuroscience, toward better methodological adaptations11
System-level brain modeling11
A new method for community-based intelligent screening of early Alzheimer’s disease populations based on digital biomarkers of the writing process11
Information bottleneck-based Hebbian learning rule naturally ties working memory and synaptic updates11
Degeneracy and stability in neural circuits of dopamine and serotonin neuromodulators: A theoretical consideration11
Feature separation and adversarial training for the patient-independent detection of epileptic seizures11
Addressing skepticism of the critical brain hypothesis11
Kohonen neural network and symbiotic-organism search algorithm for intrusion detection of network viruses11
Unification of free energy minimization, spatiotemporal energy, and dimension reduction models of V1 organization: Postnatal learning on an antenatal scaffold10
Spike-HAR++: an energy-efficient and lightweight parallel spiking transformer for event-based human action recognition10
Positional multi-length and mutual-attention network for epileptic seizure classification10
Using noise to distinguish between system and observer effects in multimodal neuroimaging10
Interpretable deep learning for functional MRI-based auxiliary diagnosis of major depressive disorder with suicidal ideation10
The significance of cerebellar contributions in early-life through aging10
Rehab-DRLX: explainable neurorehabilitation prognosis using deep reinforcement learning and transformer-based models10
Mean-field based framework for forward modeling of LFP and MEG signals9
Dentate gyrus granule cell activation following extracellular electrical stimulation: a multi-scale computational model to guide hippocampal neurostimulation strategies9
An interpretable approach for automatic aesthetic assessment of remote sensing images9
Computing the partition dimension of certain families of Toeplitz graph9
Latent dynamics of primary sensory cortical population activity structured by fluctuations in the local field potential9
The neuroscience education readiness checklist for digital tools and methods9
Wave turbulence and cortical dynamics9
Method for persistent topological features extraction of schizophrenia patients’ electroencephalography signal based on persistent homology9
Book review: Electrical fields and the experienced life9
Motor cortex outputs evoked by long-duration microstimulation encode synergistic muscle activation patterns not controlled movement trajectories9
Reductionist modeling of calcium-dependent dynamics in recurrent neural networks9
Learning delays through gradients and structure: emergence of spatiotemporal patterns in spiking neural networks9
Complexity-based graph convolutional neural network for epilepsy diagnosis in normal, acute, and chronic stages9
Interpreting the decisions of CNNs via influence functions9
An AI methodology to reduce training intensity, error rates, and size of neural networks9
A neural learning approach for simultaneous object detection and grasp detection in cluttered scenes9
U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis9
Simulation of neuroplasticity in a CNN-based in-silico model of neurodegeneration of the visual system9
Classification of dry and wet macular degeneration based on the ConvNeXT model8
Prestimulus α/β power in temporal-order judgments: individuals differ in direction of modulation but show consistency over auditory and visual tasks8
Binarized neural networks converge toward algorithmic simplicity: empirical support for the learning-as-compression hypothesis8
A computational classification method of breast cancer images using the VGGNet model8
A combinatorial deep learning method for Alzheimer’s disease classification-based merging pretrained networks8
Analysis of abnormal posture in patients with Parkinson's disease using a computational model considering muscle tones8
A new method for identifying and evaluating depressive disorders in young people based on cognitive neurocomputing: an exploratory study8
Unified theory of alpha, mu, and tau rhythms via eigenmodes of brain activity8
Editorial: Computer vision and image synthesis for neurological applications8
Cross-subject mapping of neural activity with restricted Boltzmann machines8
Quantifying network behavior in the rat prefrontal cortex8
Cross-site scripting attack detection based on a modified convolution neural network8
Multi-atlas ensemble graph neural network model for major depressive disorder detection using functional MRI data8
Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network8
Biases in BCI experiments: Do we really need to balance stimulus properties across categories?8
Hyperscanning fNIRS data analysis using multiregression dynamic models: an illustration in a violin duo8
The goo that binds us: how field resonance solves neuroscience’s binding and criticality problems8
Multi-sequence generative adversarial network: better generation for enhanced magnetic resonance imaging images8
Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review8
The synaptic correlates of serial position effects in sequential working memory7
Editorial: Computational modeling and machine learning methods in neurodevelopment and neurodegeneration: from basic research to clinical applications7
A neuro-inspired computational model of life-long learning and catastrophic interference, mimicking hippocampus novelty-based dopamine modulation and lateral inhibitory plasticity7
Controlling neocortical epileptic seizures using forced temporal spike-time stimulation: an in silico computational study7
GAME-Net: an ensemble deep learning framework integrating Generative Autoencoders and attention mechanisms for automated brain tumor segmentation in MRI7
Integrated world modeling theory expanded: Implications for the future of consciousness7
Editorial: Advances in computer science and their impact on data acquisition and analysis in neuroscience7
Developing a hippocampal neural prosthetic to facilitate human memory encoding and recall of stimulus features and categories7
An N400 identification method based on the combination of Soft-DTW and transformer7
Novel deep learning framework for detection of epileptic seizures using EEG signals7
Machine learning identifies genes linked to neurological disorders induced by equine encephalitis viruses, traumatic brain injuries, and organophosphorus nerve agents7
The connectivity degree controls the difficulty in reservoir design of random boolean networks7
Hilbert-domain sub-band feature framework for EEG-based seizure detection7
Response of a neuronal network computational model to infrared neural stimulation7
Synaptic plasticity facilitates oscillations in a V1 cortical column model with multiple interneuron types7
Editorial: Modeling brain function at the level of neurons and circuits via computational and data-driven approaches7
Facial emotion recognition using deep quantum and advanced transfer learning mechanism7
Automated karyogram analysis for early detection of genetic and neurodegenerative disorders: a hybrid machine learning approach7
Research on the spatial layout optimization strategy of Huaihe Road Commercial Block in Hefei city based on space syntax theory7
Interpretable and explainable artificial intelligence for wearable sensor-based fall risk assessment in older adults: a systematic review with considerations for prosthetics and orthotics6
Optimized facial landmark modeling with medical aesthetic constraints by a multi-objective genetic algorithm6
Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols6
Skeleton-based motion prediction: A survey6
Simplified two-compartment neuron with calcium dynamics capturing brain-state specific apical-amplification, -isolation and -drive6
Computational modeling to study the impact of changes in Nav1.8 sodium channel on neuropathic pain6
An efficient approach for textual data classification using deep learning6
Computational modeling of resistance to hormone-mediated remission in childhood absence epilepsy6
BrainNet: an automated approach for brain stress prediction utilizing electrodermal activity signal with XLNet model6
Exploring the neural basis of creativity: EEG analysis of power spectrum and functional connectivity during creative tasks in school-aged children6
Corrigendum: An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction6
Simulating combined monoaminergic depletions in a PD animal model through a bio-constrained differential equations system6
Erratum: Covariance properties under natural image transformations for the generalised Gaussian derivative model for visual receptive fields6
Interpretable machine learning for precision cognitive aging6
Neurocomputational mechanisms underlying perception and sentience in the neocortex6
Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI6
Editorial: Computational methods for neuroimaging: Challenges and future trends6
Modeling the tonotopic map using a two-dimensional array of neural oscillators5
Toward a unifying framework for the modeling and identification of motor primitives5
Role of spinal sensorimotor circuits in triphasic muscle command: a simulation approach using goal exploration process5
Topological features of spike trains in recurrent spiking neural networks that are trained to generate spatiotemporal patterns5
Convolutional-de-convolutional neural networks for recognition of surgical workflow5
Cross-population amplitude coupling in high-dimensional oscillatory neural time series5
E2ENNet: An end-to-end neural network for emotional brain-computer interface5
Identification of Smith–Magenis syndrome cases through an experimental evaluation of machine learning methods5
Alleviating the medical strain: a triage method via cross-domain text classification5
Causal functional connectivity in Alzheimer's disease computed from time series fMRI data5
Learning dynamic cognitive map with autonomous navigation5
Functional extreme learning machine5
State-dependent filtering as a mechanism toward visual robustness5
Spatial frequency channels depend on stimulus bandwidth in normal and amblyopic vision: an exploratory factor analysis5
Optimizing extubation success: a comparative analysis of time series algorithms and activation functions5
Metaheuristic-driven dual-layer model for classifying Alzheimer's disease stages5
Correction: Multi-label remote sensing classification with self-supervised gated multi-modal transformers5
Self-decisive algorithm for unconstrained optimization problems as in biomedical image analysis5
Mechanistic explanation of neuroplasticity using equivalent circuits5
Replication challenges in linking personality to resting-state functional connectomics5
Feature optimization based on improved novel global harmony search algorithm for motor imagery electroencephalogram classification5
The improved thalamo-cortical spiking network model of deep brain stimulation5
An enhanced pattern detection and segmentation of brain tumors in MRI images using deep learning technique5
Decentralized EEG-based detection of major depressive disorder via transformer architectures and split learning5
A sub-Riemannian model of the motor cortex with Wasserstein distance5
Circuit-level modeling of prediction error computation of multi-dimensional features in voluntary actions4
Extraction of brainprint by means of autoencoder with attention mechanism4
Integrating ankle and hip strategies for the stabilization of upright standing: An intermittent control model4
A three-step, “brute-force” approach toward optimized affine spatial normalization4
A mutual information measure of phase-amplitude coupling using gamma generalized linear models4
Accurate few-shot object counting with Hough matching feature enhancement4
Research on the multi-granularity method of role engineering4
Maximum likelihood estimation of spatially dependent interactions in large populations of cortical neurons4
A flexible speller based on time-space frequency conversion SSVEP stimulation paradigm under dry electrode4
Multi-label remote sensing classification with self-supervised gated multi-modal transformers4
Bayesian continual learning via spiking neural networks4
An efficient swarm intelligence approach to the optimization on high-dimensional solutions with cross-dimensional constraints, with applications in supply chain management4
Disorder and the Neural Representation of Complex Odors4
Hippocampal formation-inspired global self-localization: quick recovery from the kidnapped robot problem from an egocentric perspective4
How to be an integrated information theorist without losing your body4
Explainable AI uncovers novel EEG microstate candidate neurophysiological markers for autism spectrum disorder4
Editorial: Advancing our understanding of the impact of dynamics at different spatiotemporal scales and structure on brain synchronous activity, volume II4
Symmetry breaking and avalanche shapes in modular neural networks4
Simulated target search by bats using biomimetic SCAT biosonar model4
EPIC-NET: EEG-based epilepsy classification and brain localization using Optuna wave-gated recurrent unit network4
Exploring subthreshold processing for next-generation TinyAI4
Optogenetic manipulation of inhibitory interneurons can be used to validate a model of spatiotemporal sequence learning4
Pathological cell assembly dynamics in a striatal MSN network model4
Modeling functional connectivity changes during an auditory language task using line graph neural networks4
Editorial: Temporal structure of neural processes coupling sensory, motor and cognitive functions of the brain, volume II4
EEG electrode setup optimization using feature extraction techniques for neonatal sleep state classification4
Altered synaptic plasticity at hippocampal CA1–CA3 synapses in Alzheimer's disease: integration of amyloid precursor protein intracellular domain and amyloid beta effects into computational models4
NEURONpyxl: fast, flexible, Python-integrated simulation of biophysical neural networks with complex plastic synapses4
Integrating deep learning 3D tracking and biophysical EOD modeling for precise, noninvasive computational neuroethology in freely swimming weakly electric fish4
Adapting hippocampus multi-scale place field distributions in cluttered environments optimizes spatial navigation and learning4
Deep learning guided propofol ketamine dosing and inflammation trajectories in elderly burns4
Transformer-based multimodal precision intervention model for enhancing diaphragm function in elderly patients4
Grid codes vs. multi-scale, multi-field place codes for space4
Dynamic models for musical rhythm perception and coordination4
Survival prediction for patients with glioblastoma multiforme using a Cox proportional hazards denoising autoencoder network4
Rényi entropy-complexity causality space: a novel neurocomputational tool for detecting scale-free features in EEG/iEEG data4
Intrinsic calcium resonance and its modulation: insights from computational modeling4
A computational model of learning flexible navigation in a maze by layout-conforming replay of place cells4
Engineered biological neuronal networks as basic logic operators4
Tuning curves vs. population responses, and perceptual consequences of receptive-field remapping4
Spike timing-dependent plasticity under imbalanced excitation and inhibition reduces the complexity of neural activity3
Bayesian hierarchical models and prior elicitation for fitting psychometric functions3
Synergy quality assessment of muscle modules for determining learning performance using a realistic musculoskeletal model3
Neuromorphic energy economics: toward biologically inspired and sustainable power market design3
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