Frontiers in Computational Neuroscience

Papers
(The TQCC of Frontiers in Computational Neuroscience is 8. 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
Reinforced liquid state machines—new training strategies for spiking neural networks based on reinforcements53
Short-term postsynaptic plasticity facilitates predictive tracking in continuous attractors53
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
Contralateral dominance emerges from geometric transformation in bilateral control systems19
SBR-YOLO: context-position attention and adaptive feature fusion for student behavior recognition19
Ayu-Characterization of healthy aging from neuroimaging data with deep learning and rsfMRI18
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
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
Neuronal and behavioral affective perceptions of human and naturalness-reduced emotional prosodies13
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
Regulation of sharp wave-ripples by cholecystokinin-expressing interneurons and parvalbumin-expressing basket cells in the hippocampal CA3 region12
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
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
A machine learning approach to evaluate the impact of virtual balance/cognitive training on fall risk in older women11
Feature separation and adversarial training for the patient-independent detection of epileptic seizures11
Kohonen neural network and symbiotic-organism search algorithm for intrusion detection of network viruses11
Editorial: Advancements in neural coding: sensory perception and multiplexed encoding strategies11
Simplex polynomial in complex networks and its applications to compute the Euler characteristic11
Clustering and disease subtyping in Neuroscience, toward better methodological adaptations11
Dynamics of a model for the degradation mechanism of aggregated α-synuclein in Parkinson's disease11
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
Addressing skepticism of the critical brain hypothesis11
CRISP: a correlation-filtered recursive feature elimination and integration of SMOTE pipeline for gait-based Parkinson’s disease screening11
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
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
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
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
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
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
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