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 2022-01-01 to 2026-01-01.)
ArticleCitations
Short-term postsynaptic plasticity facilitates predictive tracking in continuous attractors127
Meta-Learning for Decoding Neural Activity Data With Noisy Labels100
Reinforced liquid state machines—new training strategies for spiking neural networks based on reinforcements82
Editorial: Symmetry as a guiding principle in artificial and brain neural networks81
High precision visual localization method of UAV based on feature matching56
Research on efficient feature extraction: Improving YOLOv5 backbone for facial expression detection in live streaming scenes55
Toward Precise Localization of Abnormal Brain Activity: 1D CNN on Single Voxel fMRI Time-Series53
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 m47
NeuroFusionNet: cross-modal modeling from brain activity to visual understanding45
FacialNet: facial emotion recognition for mental health analysis using UNet segmentation with transfer learning model45
A novel multi-feature fusion attention neural network for the recognition of epileptic EEG signals39
Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review36
Predictive coding with spiking neurons and feedforward gist signaling34
Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices31
Recurrent Excitatory Feedback From Mossy Cells Enhances Sparsity and Pattern Separation in the Dentate Gyrus via Indirect Feedback Inhibition31
Quantitative prediction of intracellular dynamics and synaptic currents in a small neural circuit29
Super special relativity29
DTCNet: finger flexion decoding with three-dimensional ECoG data27
Treatment Enhances Betweenness Centrality of Fronto-Parietal Network in Parkinson’s Patients27
Performance control study of interleaved meltblown non-woven materials based on statistical analysis and predictive modeling26
Computer vision quantization research on the architectural color of Avenida de Almeida Ribeiro in Macau based on the human eye perspective26
Online spike-based recognition of digits with ultrafast microlaser neurons26
Editorial: The embodied brain: computational mechanisms of integrated sensorimotor interactions with a dynamic environment, volume II26
Sudden restructuring of memory representations in recurrent neural networks with repeated stimulus presentations26
Grid cells, border cells, and discrete complex analysis25
Common characteristics of variants linked to autism spectrum disorder in the WAVE regulatory complex25
Production of adaptive movement patterns via an insect inspired spiking neural network central pattern generator25
The mesoanatomy of the cortex, minimization of free energy, and generative cognition24
The cognitive impacts of large language model interactions on problem solving and decision making using EEG analysis23
Neurocognition, cerebellar functions and psychiatric features in spinocerebellar ataxia type 34: a case series23
Text clustering based on pre-trained models and autoencoders22
A comprehensive neural simulation of slow-wave sleep and highly responsive wakefulness dynamics21
Multimodal sleep staging network based on obstructive sleep apnea21
Toward a computational theory of manifold untangling: from global embedding to local flattening21
Corrigendum: Decoding neuropathic pain: Can we predict fluctuations of propagation speed in stimulated peripheral nerve?19
Dynamic PET Imaging Using Dual Texture Features19
Editorial: The new frontier in brain network physiology: from temporal dynamics to the principles of integration in physiological brain networks18
A Dynamic Efficient Sensory Encoding Approach to Adaptive Tuning in Neural Models of Optic Flow Processing18
Editorial: Decoding novel therapeutic targets, biomarkers, and drug development strategies against neurodegenerative disorders—A multi-omics approach18
Heart disease detection based on internet of things data using linear quadratic discriminant analysis and a deep graph convolutional neural network17
Multiscale modeling of neuronal dynamics in hippocampus CA117
The effect of hearing impairment and social participation on depressive symptoms in older adults: a cross-lagged analysis17
Hybrid deep spatial and statistical feature fusion for accurate MRI brain tumor classification16
The Use of Reduced Models to Generate Irregular, Broad-Band Signals That Resemble Brain Rhythms16
Patient-specific approach using data fusion and adversarial training for epileptic seizure prediction16
Ayu-Characterization of healthy aging from neuroimaging data with deep learning and rsfMRI16
Neuro-environmental interactions: a time sensitive matter15
ModFus-PD: synergizing cross-modal attention and contrastive learning for enhanced multimodal diagnosis of Parkinson’s disease15
Extracting Dynamical Understanding From Neural-Mass Models of Mouse Cortex15
Reservoir based spiking models for univariate Time Series Classification15
Perineuronal nets restrict transport near the neuron surface: A coarse-grained molecular dynamics study14
The decoupling between hemodynamic parameters and neural activity implies a complex origin of spontaneous brain oscillations13
Deep learning for detecting prenatal alcohol exposure in pediatric brain MRI: a transfer learning approach with explainability insights13
Towards best practice of interpreting deep learning models for EEG-based brain computer interfaces13
Flexible intentions: An Active Inference theory13
Editorial: Psychological and cognitive evaluation and intervention based on physiological and behavioral computing13
Insertion Guidance Based on Impedance Measurements of a Cochlear Electrode Array13
Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks13
Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn13
iSeizdiag: toward the framework development of epileptic seizure detection for healthcare13
Ensemble deep learning for brain tumor detection12
Decoding the application of deep learning in neuroscience: a bibliometric analysis12
Improving imbalance classification via ensemble learning based on two-stage learning12
Spatio-Temporally Efficient Coding Assigns Functions to Hierarchical Structures of the Visual System12
Editorial: Recent advances in EEG (non-invasive) based BCI applications12
Smoking behavior detection algorithm based on YOLOv8-MNC12
Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection11
Reinforcement Learning Model With Dynamic State Space Tested on Target Search Tasks for Monkeys: Extension to Learning Task Events11
Individualized connectomic tACS immediately improves oscillatory network with language facilitation in post-stroke aphasia: a feasibility study of a dysfunctome-based targeting approach11
On the similarities of representations in artificial and brain neural networks for speech recognition11
Regulation of sharp wave-ripples by cholecystokinin-expressing interneurons and parvalbumin-expressing basket cells in the hippocampal CA3 region11
Nonlinear analysis of neuronal firing modulated by sinusoidal stimulation at axons in rat hippocampus11
Feedback stabilization of probabilistic finite state machines based on deep Q-network11
A new method for community-based intelligent screening of early Alzheimer’s disease populations based on digital biomarkers of the writing process11
A novel associative memory model based on semi-tensor product (STP)11
Triboelectric nanogenerators for neural data interpretation: bridging multi-sensing interfaces with neuromorphic and deep learning paradigms10
LGNN: a novel linear graph neural network algorithm10
Impact of DC-Coupled Electrophysiological Recordings for Translational Neuroscience: Case Study of Tracking Neural Dynamics in Rodent Models of Seizures10
End-to-end model-based trajectory prediction for ro-ro ship route using dual-attention mechanism10
Editorial: Interdisciplinary synergies in neuroinformatics, cognitive computing, and computational neuroscience10
Advancing epileptic seizure recognition through bidirectional LSTM networks10
Neuronal and behavioral affective perceptions of human and naturalness-reduced emotional prosodies10
Kohonen neural network and symbiotic-organism search algorithm for intrusion detection of network viruses10
Explaining Orientation Adaptation in V1 by Updating the State of a Spatial Model10
A computational approach based on weighted gene co-expression network analysis for biomarkers analysis of Parkinson’s disease and construction of diagnostic model10
Does Your Loved One With Cognitive Symptoms Need to See a Doctor? Check It Online10
System-level brain modeling10
Editorial: Neuro-inspired sensing and computing: Novel materials, devices, and systems10
Information bottleneck-based Hebbian learning rule naturally ties working memory and synaptic updates10
Single channel approach for filtering electroencephalographic signals strongly contaminated with facial electromyography10
Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II10
Leveraging conscious and nonconscious learning for efficient AI9
Using noise to distinguish between system and observer effects in multimodal neuroimaging9
Addressing skepticism of the critical brain hypothesis9
Book review: Electrical fields and the experienced life9
Dynamics of a model for the degradation mechanism of aggregated α-synuclein in Parkinson's disease9
Feature separation and adversarial training for the patient-independent detection of epileptic seizures9
CRISP: a correlation-filtered recursive feature elimination and integration of SMOTE pipeline for gait-based Parkinson’s disease screening9
Spike-HAR++: an energy-efficient and lightweight parallel spiking transformer for event-based human action recognition9
Simplex polynomial in complex networks and its applications to compute the Euler characteristic9
Unification of free energy minimization, spatiotemporal energy, and dimension reduction models of V1 organization: Postnatal learning on an antenatal scaffold9
Interpreting the decisions of CNNs via influence functions9
A Model of Pattern Separation by Single Neurons9
Degeneracy and stability in neural circuits of dopamine and serotonin neuromodulators: A theoretical consideration9
The significance of cerebellar contributions in early-life through aging9
A spatial map: a propitious choice for constraining the binding problem9
Clustering and disease subtyping in Neuroscience, toward better methodological adaptations9
Reductionist modeling of calcium-dependent dynamics in recurrent neural networks9
Reinforcement Learning for Central Pattern Generation in Dynamical Recurrent Neural Networks9
A machine learning approach to evaluate the impact of virtual balance/cognitive training on fall risk in older women9
Latent dynamics of primary sensory cortical population activity structured by fluctuations in the local field potential8
Motor cortex outputs evoked by long-duration microstimulation encode synergistic muscle activation patterns not controlled movement trajectories8
Computing the partition dimension of certain families of Toeplitz graph8
Method for persistent topological features extraction of schizophrenia patients’ electroencephalography signal based on persistent homology8
Biases in BCI experiments: Do we really need to balance stimulus properties across categories?8
Dentate gyrus granule cell activation following extracellular electrical stimulation: a multi-scale computational model to guide hippocampal neurostimulation strategies8
Learning delays through gradients and structure: emergence of spatiotemporal patterns in spiking neural networks8
An interpretable approach for automatic aesthetic assessment of remote sensing images8
A neural learning approach for simultaneous object detection and grasp detection in cluttered scenes8
Simulation of neuroplasticity in a CNN-based in-silico model of neurodegeneration of the visual system8
Prestimulus α/β power in temporal-order judgments: individuals differ in direction of modulation but show consistency over auditory and visual tasks8
U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis8
Complexity-based graph convolutional neural network for epilepsy diagnosis in normal, acute, and chronic stages8
Mean-field based framework for forward modeling of LFP and MEG signals8
The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions8
Positional multi-length and mutual-attention network for epileptic seizure classification8
An AI methodology to reduce training intensity, error rates, and size of neural networks8
Research on the spatial layout optimization strategy of Huaihe Road Commercial Block in Hefei city based on space syntax theory7
The connectivity degree controls the difficulty in reservoir design of random boolean networks7
An N400 identification method based on the combination of Soft-DTW and transformer7
Developing a hippocampal neural prosthetic to facilitate human memory encoding and recall of stimulus features and categories7
Role of Lateral Inhibition on Visual Number Sense7
Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review7
Multi-atlas ensemble graph neural network model for major depressive disorder detection using functional MRI data7
Hyperscanning fNIRS data analysis using multiregression dynamic models: an illustration in a violin duo7
Analysis of abnormal posture in patients with Parkinson's disease using a computational model considering muscle tones7
A new method for identifying and evaluating depressive disorders in young people based on cognitive neurocomputing: an exploratory study7
Symmetry-Based Representations for Artificial and Biological General Intelligence7
Automated karyogram analysis for early detection of genetic and neurodegenerative disorders: a hybrid machine learning approach7
Facial emotion recognition using deep quantum and advanced transfer learning mechanism7
Editorial: Computer vision and image synthesis for neurological applications7
A computational classification method of breast cancer images using the VGGNet model7
Unified theory of alpha, mu, and tau rhythms via eigenmodes of brain activity7
Quantifying network behavior in the rat prefrontal cortex7
Multi-sequence generative adversarial network: better generation for enhanced magnetic resonance imaging images7
Maximal Dependence Capturing as a Principle of Sensory Processing7
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
Integrated world modeling theory expanded: Implications for the future of consciousness7
A combinatorial deep learning method for Alzheimer’s disease classification-based merging pretrained networks7
Cross-site scripting attack detection based on a modified convolution neural network7
Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network7
Noise-tuned bursting in a Hedgehog burster7
Classification of dry and wet macular degeneration based on the ConvNeXT model7
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