Frontiers in Computational Neuroscience

Papers
(The TQCC of Frontiers in Computational Neuroscience is 7. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Short-term postsynaptic plasticity facilitates predictive tracking in continuous attractors164
Meta-Learning for Decoding Neural Activity Data With Noisy Labels124
Editorial: Symmetry as a guiding principle in artificial and brain neural networks112
FacialNet: facial emotion recognition for mental health analysis using UNet segmentation with transfer learning model93
Research on efficient feature extraction: Improving YOLOv5 backbone for facial expression detection in live streaming scenes73
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 m64
NeuroFusionNet: cross-modal modeling from brain activity to visual understanding55
Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review52
Reinforced liquid state machines—new training strategies for spiking neural networks based on reinforcements50
High precision visual localization method of UAV based on feature matching44
Predictive coding with spiking neurons and feedforward gist signaling42
Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices40
Feature fusion and WOA-GWO optimization for Alzheimer’s disease detection with sparse EEG channels39
AI-driven audience clustering in sport media: a human–computer interaction approach using ‘CoPE-DEC’38
A novel multi-feature fusion attention neural network for the recognition of epileptic EEG signals38
Production of adaptive movement patterns via an insect inspired spiking neural network central pattern generator36
Grid cells, border cells, and discrete complex analysis36
Neurocognition, cerebellar functions and psychiatric features in spinocerebellar ataxia type 34: a case series33
Online spike-based recognition of digits with ultrafast microlaser neurons32
Super special relativity32
Performance control study of interleaved meltblown non-woven materials based on statistical analysis and predictive modeling31
Computer vision quantization research on the architectural color of Avenida de Almeida Ribeiro in Macau based on the human eye perspective30
Editorial: The embodied brain: computational mechanisms of integrated sensorimotor interactions with a dynamic environment, volume II30
The mesoanatomy of the cortex, minimization of free energy, and generative cognition29
Common characteristics of variants linked to autism spectrum disorder in the WAVE regulatory complex29
Sudden restructuring of memory representations in recurrent neural networks with repeated stimulus presentations28
A comprehensive neural simulation of slow-wave sleep and highly responsive wakefulness dynamics27
Text clustering based on pre-trained models and autoencoders27
DTCNet: finger flexion decoding with three-dimensional ECoG data25
Editorial: Neuromorphic and deep learning paradigms for neural data interpretation and computational neuroscience25
Quantitative prediction of intracellular dynamics and synaptic currents in a small neural circuit24
The cognitive impacts of large language model interactions on problem solving and decision making using EEG analysis22
Toward a computational theory of manifold untangling: from global embedding to local flattening22
Editorial: The new frontier in brain network physiology: from temporal dynamics to the principles of integration in physiological brain networks20
Editorial: Decoding novel therapeutic targets, biomarkers, and drug development strategies against neurodegenerative disorders—A multi-omics approach20
Ayu-Characterization of healthy aging from neuroimaging data with deep learning and rsfMRI19
Heart disease detection based on internet of things data using linear quadratic discriminant analysis and a deep graph convolutional neural network19
Multiscale modeling of neuronal dynamics in hippocampus CA119
SBR-YOLO: context-position attention and adaptive feature fusion for student behavior recognition19
The Use of Reduced Models to Generate Irregular, Broad-Band Signals That Resemble Brain Rhythms19
Contralateral dominance emerges from geometric transformation in bilateral control systems18
Hybrid deep spatial and statistical feature fusion for accurate MRI brain tumor classification18
Corrigendum: Decoding neuropathic pain: Can we predict fluctuations of propagation speed in stimulated peripheral nerve?18
Neuro-environmental interactions: a time sensitive matter18
ModFus-PD: synergizing cross-modal attention and contrastive learning for enhanced multimodal diagnosis of Parkinson’s disease18
Editorial: Cerebellar computations across the lifespan18
Reservoir based spiking models for univariate Time Series Classification18
The effect of hearing impairment and social participation on depressive symptoms in older adults: a cross-lagged analysis17
Multimodal sleep staging network based on obstructive sleep apnea17
A critical analysis of MBTI-based personality profiling with large language models17
Patient-specific approach using data fusion and adversarial training for epileptic seizure prediction17
Temporal codes and recurrent timing nets for rhythmic expectancy17
Deep learning for detecting prenatal alcohol exposure in pediatric brain MRI: a transfer learning approach with explainability insights16
iSeizdiag: toward the framework development of epileptic seizure detection for healthcare16
Editorial: Psychological and cognitive evaluation and intervention based on physiological and behavioral computing16
Information flow drives localized morphological differences across neuronal and glial cell types15
Perineuronal nets restrict transport near the neuron surface: A coarse-grained molecular dynamics study15
Towards precision medicine in Tourette syndrome: a perspective on AI-driven predictive modelling and personalised care14
Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks14
Flexible intentions: An Active Inference theory14
Population-level neural rejuvenation dynamics in addiction: a computational framework for understanding developmental plasticity reactivation14
Decoding the application of deep learning in neuroscience: a bibliometric analysis14
Insertion Guidance Based on Impedance Measurements of a Cochlear Electrode Array14
Towards best practice of interpreting deep learning models for EEG-based brain computer interfaces14
Editorial: Recent advances in EEG (non-invasive) based BCI applications13
Ensemble deep learning for brain tumor detection13
A novel associative memory model based on semi-tensor product (STP)13
The decoupling between hemodynamic parameters and neural activity implies a complex origin of spontaneous brain oscillations13
Smoking behavior detection algorithm based on YOLOv8-MNC13
Triboelectric nanogenerators for neural data interpretation: bridging multi-sensing interfaces with neuromorphic and deep learning paradigms12
Reinforcement Learning Model With Dynamic State Space Tested on Target Search Tasks for Monkeys: Extension to Learning Task Events12
Individualized connectomic tACS immediately improves oscillatory network with language facilitation in post-stroke aphasia: a feasibility study of a dysfunctome-based targeting approach12
Single channel approach for filtering electroencephalographic signals strongly contaminated with facial electromyography12
Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection12
Does Your Loved One With Cognitive Symptoms Need to See a Doctor? Check It Online12
Kohonen neural network and symbiotic-organism search algorithm for intrusion detection of network viruses11
Improving imbalance classification via ensemble learning based on two-stage learning11
Regulation of sharp wave-ripples by cholecystokinin-expressing interneurons and parvalbumin-expressing basket cells in the hippocampal CA3 region11
On the similarities of representations in artificial and brain neural networks for speech recognition11
Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II11
NeuralVisionNet: a probabilistic neural process model for continuous visual anticipation11
Feedback stabilization of probabilistic finite state machines based on deep Q-network11
Editorial: Neuro-inspired sensing and computing: Novel materials, devices, and systems11
A computational approach based on weighted gene co-expression network analysis for biomarkers analysis of Parkinson’s disease and construction of diagnostic model11
LGNN: a novel linear graph neural network algorithm11
Nonlinear analysis of neuronal firing modulated by sinusoidal stimulation at axons in rat hippocampus11
Advancing epileptic seizure recognition through bidirectional LSTM networks11
System-level brain modeling11
Clustering and disease subtyping in Neuroscience, toward better methodological adaptations11
A new method for community-based intelligent screening of early Alzheimer’s disease populations based on digital biomarkers of the writing process11
Editorial: Interdisciplinary synergies in neuroinformatics, cognitive computing, and computational neuroscience11
End-to-end model-based trajectory prediction for ro-ro ship route using dual-attention mechanism11
Neuronal and behavioral affective perceptions of human and naturalness-reduced emotional prosodies11
Using noise to distinguish between system and observer effects in multimodal neuroimaging10
Spike-HAR++: an energy-efficient and lightweight parallel spiking transformer for event-based human action recognition10
CRISP: a correlation-filtered recursive feature elimination and integration of SMOTE pipeline for gait-based Parkinson’s disease screening10
Leveraging conscious and nonconscious learning for efficient AI10
Simplex polynomial in complex networks and its applications to compute the Euler characteristic10
A machine learning approach to evaluate the impact of virtual balance/cognitive training on fall risk in older women10
A spatial map: a propitious choice for constraining the binding problem10
Feature separation and adversarial training for the patient-independent detection of epileptic seizures10
The significance of cerebellar contributions in early-life through aging10
Addressing skepticism of the critical brain hypothesis10
Degeneracy and stability in neural circuits of dopamine and serotonin neuromodulators: A theoretical consideration10
Editorial: Advancements in neural coding: sensory perception and multiplexed encoding strategies10
Dynamics of a model for the degradation mechanism of aggregated α-synuclein in Parkinson's disease10
Dentate gyrus granule cell activation following extracellular electrical stimulation: a multi-scale computational model to guide hippocampal neurostimulation strategies9
Computing the partition dimension of certain families of Toeplitz graph9
Method for persistent topological features extraction of schizophrenia patients’ electroencephalography signal based on persistent homology9
U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis9
Information bottleneck-based Hebbian learning rule naturally ties working memory and synaptic updates9
Rehab-DRLX: explainable neurorehabilitation prognosis using deep reinforcement learning and transformer-based models9
Motor cortex outputs evoked by long-duration microstimulation encode synergistic muscle activation patterns not controlled movement trajectories9
Interpreting the decisions of CNNs via influence functions9
An interpretable approach for automatic aesthetic assessment of remote sensing images9
Simulation of neuroplasticity in a CNN-based in-silico model of neurodegeneration of the visual system9
Reductionist modeling of calcium-dependent dynamics in recurrent neural networks9
Unification of free energy minimization, spatiotemporal energy, and dimension reduction models of V1 organization: Postnatal learning on an antenatal scaffold9
Complexity-based graph convolutional neural network for epilepsy diagnosis in normal, acute, and chronic stages9
Book review: Electrical fields and the experienced life9
An AI methodology to reduce training intensity, error rates, and size of neural networks9
Positional multi-length and mutual-attention network for epileptic seizure classification9
Latent dynamics of primary sensory cortical population activity structured by fluctuations in the local field potential9
Impact of DC-Coupled Electrophysiological Recordings for Translational Neuroscience: Case Study of Tracking Neural Dynamics in Rodent Models of Seizures9
Learning delays through gradients and structure: emergence of spatiotemporal patterns in spiking neural networks9
Editorial: Computer vision and image synthesis for neurological applications8
A computational classification method of breast cancer images using the VGGNet model8
Prestimulus α/β power in temporal-order judgments: individuals differ in direction of modulation but show consistency over auditory and visual tasks8
Noise-tuned bursting in a Hedgehog burster8
Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network8
Mean-field based framework for forward modeling of LFP and MEG signals8
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
A combinatorial deep learning method for Alzheimer’s disease classification-based merging pretrained networks8
Role of Lateral Inhibition on Visual Number Sense8
A neural learning approach for simultaneous object detection and grasp detection in cluttered scenes8
Wave turbulence and cortical dynamics8
Cross-subject mapping of neural activity with restricted Boltzmann machines8
Cross-site scripting attack detection based on a modified convolution neural network8
Multi-sequence generative adversarial network: better generation for enhanced magnetic resonance imaging images8
A Study of English Learning Vocabulary Detection Based on Image Semantic Segmentation Fusion Network7
Computational modeling of resistance to hormone-mediated remission in childhood absence epilepsy7
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
The connectivity degree controls the difficulty in reservoir design of random boolean networks7
Unified theory of alpha, mu, and tau rhythms via eigenmodes of brain activity7
Binarized neural networks converge toward algorithmic simplicity: empirical support for the learning-as-compression hypothesis7
Developing a hippocampal neural prosthetic to facilitate human memory encoding and recall of stimulus features and categories7
Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI7
Classification of dry and wet macular degeneration based on the ConvNeXT model7
Analysis of abnormal posture in patients with Parkinson's disease using a computational model considering muscle tones7
Automated karyogram analysis for early detection of genetic and neurodegenerative disorders: a hybrid machine learning approach7
Editorial: Computational modeling and machine learning methods in neurodevelopment and neurodegeneration: from basic research to clinical applications7
GAME-Net: an ensemble deep learning framework integrating Generative Autoencoders and attention mechanisms for automated brain tumor segmentation in MRI7
A new method for identifying and evaluating depressive disorders in young people based on cognitive neurocomputing: an exploratory study7
Quantifying network behavior in the rat prefrontal cortex7
Machine learning identifies genes linked to neurological disorders induced by equine encephalitis viruses, traumatic brain injuries, and organophosphorus nerve agents7
Research on the spatial layout optimization strategy of Huaihe Road Commercial Block in Hefei city based on space syntax theory7
Novel deep learning framework for detection of epileptic seizures using EEG signals7
Integrated world modeling theory expanded: Implications for the future of consciousness7
The synaptic correlates of serial position effects in sequential working memory7
Facial emotion recognition using deep quantum and advanced transfer learning mechanism7
Multi-atlas ensemble graph neural network model for major depressive disorder detection using functional MRI data7
An N400 identification method based on the combination of Soft-DTW and transformer7
Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review7
Editorial: Advances in computer science and their impact on data acquisition and analysis in neuroscience7
A neuro-inspired computational model of life-long learning and catastrophic interference, mimicking hippocampus novelty-based dopamine modulation and lateral inhibitory plasticity7
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