Frontiers in Computational Neuroscience

Papers
(The median citation count of Frontiers in Computational Neuroscience is 3. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Short-term postsynaptic plasticity facilitates predictive tracking in continuous attractors159
Meta-Learning for Decoding Neural Activity Data With Noisy Labels119
Editorial: Symmetry as a guiding principle in artificial and brain neural networks108
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 m89
NeuroFusionNet: cross-modal modeling from brain activity to visual understanding70
Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review60
Reinforced liquid state machines—new training strategies for spiking neural networks based on reinforcements57
FacialNet: facial emotion recognition for mental health analysis using UNet segmentation with transfer learning model53
Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices50
A novel multi-feature fusion attention neural network for the recognition of epileptic EEG signals50
Predictive coding with spiking neurons and feedforward gist signaling44
High precision visual localization method of UAV based on feature matching42
Research on efficient feature extraction: Improving YOLOv5 backbone for facial expression detection in live streaming scenes36
Grid cells, border cells, and discrete complex analysis35
Production of adaptive movement patterns via an insect inspired spiking neural network central pattern generator35
AI-driven audience clustering in sport media: a human–computer interaction approach using ‘CoPE-DEC’35
Super special relativity34
Neurocognition, cerebellar functions and psychiatric features in spinocerebellar ataxia type 34: a case series34
The mesoanatomy of the cortex, minimization of free energy, and generative cognition32
The cognitive impacts of large language model interactions on problem solving and decision making using EEG analysis32
A comprehensive neural simulation of slow-wave sleep and highly responsive wakefulness dynamics31
Treatment Enhances Betweenness Centrality of Fronto-Parietal Network in Parkinson’s Patients30
Editorial: The embodied brain: computational mechanisms of integrated sensorimotor interactions with a dynamic environment, volume II29
Performance control study of interleaved meltblown non-woven materials based on statistical analysis and predictive modeling29
Online spike-based recognition of digits with ultrafast microlaser neurons29
Common characteristics of variants linked to autism spectrum disorder in the WAVE regulatory complex28
Computer vision quantization research on the architectural color of Avenida de Almeida Ribeiro in Macau based on the human eye perspective28
Sudden restructuring of memory representations in recurrent neural networks with repeated stimulus presentations27
Text clustering based on pre-trained models and autoencoders27
DTCNet: finger flexion decoding with three-dimensional ECoG data25
Toward a computational theory of manifold untangling: from global embedding to local flattening23
Quantitative prediction of intracellular dynamics and synaptic currents in a small neural circuit22
Editorial: Neuromorphic and deep learning paradigms for neural data interpretation and computational neuroscience22
Editorial: Decoding novel therapeutic targets, biomarkers, and drug development strategies against neurodegenerative disorders—A multi-omics approach22
Editorial: The new frontier in brain network physiology: from temporal dynamics to the principles of integration in physiological brain networks20
Multiscale modeling of neuronal dynamics in hippocampus CA119
Patient-specific approach using data fusion and adversarial training for epileptic seizure prediction19
The Use of Reduced Models to Generate Irregular, Broad-Band Signals That Resemble Brain Rhythms19
Multimodal sleep staging network based on obstructive sleep apnea19
Heart disease detection based on internet of things data using linear quadratic discriminant analysis and a deep graph convolutional neural network18
Neuro-environmental interactions: a time sensitive matter18
SBR-YOLO: context-position attention and adaptive feature fusion for student behavior recognition18
Corrigendum: Decoding neuropathic pain: Can we predict fluctuations of propagation speed in stimulated peripheral nerve?18
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 analysis17
Hybrid deep spatial and statistical feature fusion for accurate MRI brain tumor classification17
Reservoir based spiking models for univariate Time Series Classification17
A critical analysis of MBTI-based personality profiling with large language models17
Contralateral dominance emerges from geometric transformation in bilateral control systems17
Spatio-Temporally Efficient Coding Assigns Functions to Hierarchical Structures of the Visual System16
Editorial: Psychological and cognitive evaluation and intervention based on physiological and behavioral computing16
Deep learning for detecting prenatal alcohol exposure in pediatric brain MRI: a transfer learning approach with explainability insights16
ModFus-PD: synergizing cross-modal attention and contrastive learning for enhanced multimodal diagnosis of Parkinson’s disease16
iSeizdiag: toward the framework development of epileptic seizure detection for healthcare16
Perineuronal nets restrict transport near the neuron surface: A coarse-grained molecular dynamics study15
Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn15
Towards precision medicine in Tourette syndrome: a perspective on AI-driven predictive modelling and personalised care14
Information flow drives localized morphological differences across neuronal and glial cell types14
Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks14
Population-level neural rejuvenation dynamics in addiction: a computational framework for understanding developmental plasticity reactivation14
Smoking behavior detection algorithm based on YOLOv8-MNC14
Insertion Guidance Based on Impedance Measurements of a Cochlear Electrode Array13
Towards best practice of interpreting deep learning models for EEG-based brain computer interfaces13
Improving imbalance classification via ensemble learning based on two-stage learning13
Decoding the application of deep learning in neuroscience: a bibliometric analysis13
Ensemble deep learning for brain tumor detection13
The decoupling between hemodynamic parameters and neural activity implies a complex origin of spontaneous brain oscillations13
Flexible intentions: An Active Inference theory13
Editorial: Recent advances in EEG (non-invasive) based BCI applications13
Nonlinear analysis of neuronal firing modulated by sinusoidal stimulation at axons in rat hippocampus12
Editorial: Interdisciplinary synergies in neuroinformatics, cognitive computing, and computational neuroscience12
Individualized connectomic tACS immediately improves oscillatory network with language facilitation in post-stroke aphasia: a feasibility study of a dysfunctome-based targeting approach12
End-to-end model-based trajectory prediction for ro-ro ship route using dual-attention mechanism12
A computational approach based on weighted gene co-expression network analysis for biomarkers analysis of Parkinson’s disease and construction of diagnostic model12
Reinforcement Learning Model With Dynamic State Space Tested on Target Search Tasks for Monkeys: Extension to Learning Task Events12
A novel associative memory model based on semi-tensor product (STP)12
Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II12
Regulation of sharp wave-ripples by cholecystokinin-expressing interneurons and parvalbumin-expressing basket cells in the hippocampal CA3 region12
On the similarities of representations in artificial and brain neural networks for speech recognition11
Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection11
Feedback stabilization of probabilistic finite state machines based on deep Q-network11
Kohonen neural network and symbiotic-organism search algorithm for intrusion detection of network viruses11
Single channel approach for filtering electroencephalographic signals strongly contaminated with facial electromyography11
A new method for community-based intelligent screening of early Alzheimer’s disease populations based on digital biomarkers of the writing process11
Advancing epileptic seizure recognition through bidirectional LSTM networks11
Neuronal and behavioral affective perceptions of human and naturalness-reduced emotional prosodies11
LGNN: a novel linear graph neural network algorithm11
Triboelectric nanogenerators for neural data interpretation: bridging multi-sensing interfaces with neuromorphic and deep learning paradigms11
NeuralVisionNet: a probabilistic neural process model for continuous visual anticipation11
Does Your Loved One With Cognitive Symptoms Need to See a Doctor? Check It Online11
System-level brain modeling11
Clustering and disease subtyping in Neuroscience, toward better methodological adaptations10
Using noise to distinguish between system and observer effects in multimodal neuroimaging10
CRISP: a correlation-filtered recursive feature elimination and integration of SMOTE pipeline for gait-based Parkinson’s disease screening10
Degeneracy and stability in neural circuits of dopamine and serotonin neuromodulators: A theoretical consideration10
Leveraging conscious and nonconscious learning for efficient AI10
Editorial: Neuro-inspired sensing and computing: Novel materials, devices, and systems10
Unification of free energy minimization, spatiotemporal energy, and dimension reduction models of V1 organization: Postnatal learning on an antenatal scaffold10
Simplex polynomial in complex networks and its applications to compute the Euler characteristic10
Spike-HAR++: an energy-efficient and lightweight parallel spiking transformer for event-based human action recognition10
Dynamics of a model for the degradation mechanism of aggregated α-synuclein in Parkinson's disease10
Feature separation and adversarial training for the patient-independent detection of epileptic seizures10
Impact of DC-Coupled Electrophysiological Recordings for Translational Neuroscience: Case Study of Tracking Neural Dynamics in Rodent Models of Seizures10
The significance of cerebellar contributions in early-life through aging10
A spatial map: a propitious choice for constraining the binding problem10
A machine learning approach to evaluate the impact of virtual balance/cognitive training on fall risk in older women10
Editorial: Advancements in neural coding: sensory perception and multiplexed encoding strategies10
Addressing skepticism of the critical brain hypothesis10
Wave turbulence and cortical dynamics9
Information bottleneck-based Hebbian learning rule naturally ties working memory and synaptic updates9
Interpreting the decisions of CNNs via influence functions9
Dentate gyrus granule cell activation following extracellular electrical stimulation: a multi-scale computational model to guide hippocampal neurostimulation strategies9
Motor cortex outputs evoked by long-duration microstimulation encode synergistic muscle activation patterns not controlled movement trajectories9
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
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
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
Learning delays through gradients and structure: emergence of spatiotemporal patterns in spiking neural networks9
U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis9
Reductionist modeling of calcium-dependent dynamics in recurrent neural networks9
A neural learning approach for simultaneous object detection and grasp detection in cluttered scenes9
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
Prestimulus α/β power in temporal-order judgments: individuals differ in direction of modulation but show consistency over auditory and visual tasks8
Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review8
Multi-sequence generative adversarial network: better generation for enhanced magnetic resonance imaging images8
Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network8
Role of Lateral Inhibition on Visual Number Sense8
Biases in BCI experiments: Do we really need to balance stimulus properties across categories?8
Mean-field based framework for forward modeling of LFP and MEG signals8
Quantifying network behavior in the rat prefrontal cortex8
Noise-tuned bursting in a Hedgehog burster8
Cross-site scripting attack detection based on a modified convolution neural network8
A computational classification method of breast cancer images using the VGGNet model8
Editorial: Computer vision and image synthesis for neurological applications8
A combinatorial deep learning method for Alzheimer’s disease classification-based merging pretrained networks8
Cross-subject mapping of neural activity with restricted Boltzmann machines8
Hyperscanning fNIRS data analysis using multiregression dynamic models: an illustration in a violin duo8
Integrated world modeling theory expanded: Implications for the future of consciousness7
GAME-Net: an ensemble deep learning framework integrating Generative Autoencoders and attention mechanisms for automated brain tumor segmentation in MRI7
The synaptic correlates of serial position effects in sequential working memory7
An N400 identification method based on the combination of Soft-DTW and transformer7
Facial emotion recognition using deep quantum and advanced transfer learning mechanism7
Research on the spatial layout optimization strategy of Huaihe Road Commercial Block in Hefei city based on space syntax theory7
A Study of English Learning Vocabulary Detection Based on Image Semantic Segmentation Fusion Network7
Editorial: Modeling brain function at the level of neurons and circuits via computational and data-driven approaches7
Novel deep learning framework for detection of epileptic seizures using EEG signals7
Unified theory of alpha, mu, and tau rhythms via eigenmodes of brain activity7
A new method for identifying and evaluating depressive disorders in young people based on cognitive neurocomputing: an exploratory study7
Editorial: Computational modeling and machine learning methods in neurodevelopment and neurodegeneration: from basic research to clinical applications7
Developing a hippocampal neural prosthetic to facilitate human memory encoding and recall of stimulus features and categories7
A neuro-inspired computational model of life-long learning and catastrophic interference, mimicking hippocampus novelty-based dopamine modulation and lateral inhibitory plasticity7
Machine learning identifies genes linked to neurological disorders induced by equine encephalitis viruses, traumatic brain injuries, and organophosphorus nerve agents7
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
Classification of dry and wet macular degeneration based on the ConvNeXT model7
Editorial: Advances in computer science and their impact on data acquisition and analysis in neuroscience7
Multi-atlas ensemble graph neural network model for major depressive disorder detection using functional MRI data7
Automated karyogram analysis for early detection of genetic and neurodegenerative disorders: a hybrid machine learning approach7
Analysis of abnormal posture in patients with Parkinson's disease using a computational model considering muscle tones7
Response of a neuronal network computational model to infrared neural stimulation7
Computational modeling of resistance to hormone-mediated remission in childhood absence epilepsy7
Identification of Smith–Magenis syndrome cases through an experimental evaluation of machine learning methods6
Exploring the neural basis of creativity: EEG analysis of power spectrum and functional connectivity during creative tasks in school-aged children6
Toward a unifying framework for the modeling and identification of motor primitives6
Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI6
Alleviating the medical strain: a triage method via cross-domain text classification6
Erratum: Covariance properties under natural image transformations for the generalised Gaussian derivative model for visual receptive fields6
Editorial: Computational methods for neuroimaging: Challenges and future trends6
Optimizing extubation success: a comparative analysis of time series algorithms and activation functions6
Causal functional connectivity in Alzheimer's disease computed from time series fMRI data6
Simulating combined monoaminergic depletions in a PD animal model through a bio-constrained differential equations system6
E2ENNet: An end-to-end neural network for emotional brain-computer interface6
BrainNet: an automated approach for brain stress prediction utilizing electrodermal activity signal with XLNet model6
Correction: Multi-label remote sensing classification with self-supervised gated multi-modal transformers6
Controlling neocortical epileptic seizures using forced temporal spike-time stimulation: an in silico computational study6
An enhanced pattern detection and segmentation of brain tumors in MRI images using deep learning technique6
Corrigendum: An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction6
Skeleton-based motion prediction: A survey6
Neurocomputational mechanisms underlying perception and sentience in the neocortex6
Mechanistic explanation of neuroplasticity using equivalent circuits6
Interpretable machine learning for precision cognitive aging6
Self-decisive algorithm for unconstrained optimization problems as in biomedical image analysis6
Optimized facial landmark modeling with medical aesthetic constraints by a multi-objective genetic algorithm6
Modeling the tonotopic map using a two-dimensional array of neural oscillators6
An efficient approach for textual data classification using deep learning6
Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols6
Computational modeling to study the impact of changes in Nav1.8 sodium channel on neuropathic pain6
Learning dynamic cognitive map with autonomous navigation6
Simplified two-compartment neuron with calcium dynamics capturing brain-state specific apical-amplification, -isolation and -drive6
Engineered biological neuronal networks as basic logic operators5
Decentralized EEG-based detection of major depressive disorder via transformer architectures and split learning5
Topological features of spike trains in recurrent spiking neural networks that are trained to generate spatiotemporal patterns5
Functional extreme learning machine5
Hippocampal formation-inspired global self-localization: quick recovery from the kidnapped robot problem from an egocentric perspective5
Toward Reflective Spiking Neural Networks Exploiting Memristive Devices5
Dynamic models for musical rhythm perception and coordination5
The improved thalamo-cortical spiking network model of deep brain stimulation5
State-dependent filtering as a mechanism toward visual robustness5
Cross-population amplitude coupling in high-dimensional oscillatory neural time series5
Replication challenges in linking personality to resting-state functional connectomics5
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 models5
Tuning curves vs. population responses, and perceptual consequences of receptive-field remapping5
How to be an integrated information theorist without losing your body5
Spatial frequency channels depend on stimulus bandwidth in normal and amblyopic vision: an exploratory factor analysis5
Feature optimization based on improved novel global harmony search algorithm for motor imagery electroencephalogram classification5
Convolutional-de-convolutional neural networks for recognition of surgical workflow5
Metaheuristic-driven dual-layer model for classifying Alzheimer's disease stages5
Circuit-level modeling of prediction error computation of multi-dimensional features in voluntary actions5
Bayesian continual learning via spiking neural networks5
Role of spinal sensorimotor circuits in triphasic muscle command: a simulation approach using goal exploration process5
Disorder and the Neural Representation of Complex Odors5
EEG electrode setup optimization using feature extraction techniques for neonatal sleep state classification5
Cross-Frequency Slow Oscillation–Spindle Coupling in a Biophysically Realistic Thalamocortical Neural Mass Model4
Accurate few-shot object counting with Hough matching feature enhancement4
Modeling functional connectivity changes during an auditory language task using line graph neural networks4
Intrinsic calcium resonance and its modulation: insights from computational modeling4
Rapid Spectral Dynamics in Hippocampal Oscillons4
Maximum likelihood estimation of spatially dependent interactions in large populations of cortical neurons4
Detection of Brain Network Communities During Natural Speech Comprehension From Functionally Aligned EEG Sources4
Finding the Location of Axonal Activation by a Miniature Magnetic Coil4
Effects of AC induced electric fields on neuronal firing sensitivity and activity patterns4
Convolutional neural networks for vision neuroscience: significance, developments, and outstanding issues4
A three-step, “brute-force” approach toward optimized affine spatial normalization4
Integrating ankle and hip strategies for the stabilization of upright standing: An intermittent control model4
EPIC-NET: EEG-based epilepsy classification and brain localization using Optuna wave-gated recurrent unit network4
Editorial: Advancing our understanding of the impact of dynamics at different spatiotemporal scales and structure on brain synchronous activity, volume II4
Rényi entropy-complexity causality space: a novel neurocomputational tool for detecting scale-free features in EEG/iEEG data4
Pathological cell assembly dynamics in a striatal MSN network model4
Survival prediction for patients with glioblastoma multiforme using a Cox proportional hazards denoising autoencoder network4
Whole-Brain Network Models: From Physics to Bedside4
Grid codes vs. multi-scale, multi-field place codes for space4
Identifying distinctive brain regions related to consumer choice behaviors on branded foods using activation likelihood estimation and machine learning4
The role of IP3 receptors and SERCA pumps in restoring working memory under amyloid β induced Alzheimer's disease: a modeling study4
Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms4
Fractal memory structure in the spatiotemporal learning rule4
Simulated target search by bats using biomimetic SCAT biosonar model4
Adapting hippocampus multi-scale place field distributions in cluttered environments optimizes spatial navigation and learning4
An efficient swarm intelligence approach to the optimization on high-dimensional solutions with cross-dimensional constraints, with applications in supply chain management4
Editorial: Temporal structure of neural processes coupling sensory, motor and cognitive functions of the brain, volume II4
Exploring subthreshold processing for next-generation TinyAI4
Research on the multi-granularity method of role engineering4
A mutual information measure of phase-amplitude coupling using gamma generalized linear models4
Real-time numerical system convertor via two-dimensional WS2-based memristive device4
Dynamical predictive coding with reservoir computing performs noise-robust multi-sensory speech recognition4
Editorial: Complex network dynamics in consciousness4
Transferable CNN-based data mining approaches for medical imaging: application to spine DXA scans for osteoporosis detection4
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