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 2020-04-01 to 2024-04-01.)
ArticleCitations
Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features124
Attention in Psychology, Neuroscience, and Machine Learning99
A Study on Arrhythmia via ECG Signal Classification Using the Convolutional Neural Network76
A Deep Learning Approach for Automatic Seizure Detection in Children With Epilepsy72
Transfer Entropy as a Measure of Brain Connectivity: A Critical Analysis With the Help of Neural Mass Models68
Overall Survival Prediction in Glioblastoma With Radiomic Features Using Machine Learning63
ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data50
Review on Emotion Recognition Based on Electroencephalography47
An Active Inference Approach to Modeling Structure Learning: Concept Learning as an Example Case45
Theta-Nested Gamma Oscillations in Next Generation Neural Mass Models43
EEG-based emotion recognition using hybrid CNN and LSTM classification33
Spiking Neural Network (SNN) With Memristor Synapses Having Non-linear Weight Update33
The Neuroscience of Spatial Navigation and the Relationship to Artificial Intelligence30
An Investigation of the Free Energy Principle for Emotion Recognition29
GLSNN: A Multi-Layer Spiking Neural Network Based on Global Feedback Alignment and Local STDP Plasticity29
Optimal Self-Induced Stochastic Resonance in Multiplex Neural Networks: Electrical vs. Chemical Synapses27
Fast Simulations of Highly-Connected Spiking Cortical Models Using GPUs26
Serotonergic Axons as Fractional Brownian Motion Paths: Insights Into the Self-Organization of Regional Densities26
Ensemble deep learning for brain tumor detection25
Criticality, Connectivity, and Neural Disorder: A Multifaceted Approach to Neural Computation25
Stochastic Resonance Based Visual Perception Using Spiking Neural Networks24
Learning Generative State Space Models for Active Inference24
Unsupervised Few-Shot Feature Learning via Self-Supervised Training24
Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review23
RETRACTED: Deep Learning for Autism Diagnosis and Facial Analysis in Children21
Evaluation of Synergy Extrapolation for Predicting Unmeasured Muscle Excitations from Measured Muscle Synergies20
Perceptron Learning and Classification in a Modeled Cortical Pyramidal Cell20
Emergence of Stable Synaptic Clusters on Dendrites Through Synaptic Rewiring19
Will We Ever Have Conscious Machines?19
Oscillatory Bursting as a Mechanism for Temporal Coupling and Information Coding19
Emergence of Mixed Mode Oscillations in Random Networks of Diverse Excitable Neurons: The Role of Neighbors and Electrical Coupling18
Whole-Brain Network Models: From Physics to Bedside18
Toward Reflective Spiking Neural Networks Exploiting Memristive Devices18
Functional Brain Networks in Mild Cognitive Impairment Based on Resting Electroencephalography Signals17
Learning Invariant Object and Spatial View Representations in the Brain Using Slow Unsupervised Learning17
Spatiotemporal Patterns of Adaptation-Induced Slow Oscillations in a Whole-Brain Model of Slow-Wave Sleep17
Electroencephalogram Emotion Recognition Based on 3D Feature Fusion and Convolutional Autoencoder16
Hardware Design for Autonomous Bayesian Networks16
Fano Factor: A Potentially Useful Information16
Emergent Spaces for Coupled Oscillators15
Quantitative Assessment of Stress Through EEG During a Virtual Reality Stress-Relax Session15
Accelerating Inference of Convolutional Neural Networks Using In-memory Computing15
Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices15
A comprehensive neural simulation of slow-wave sleep and highly responsive wakefulness dynamics14
Status of deep learning for EEG-based brain–computer interface applications14
Gated Recurrent Units Viewed Through the Lens of Continuous Time Dynamical Systems14
Brain Inspired Sequences Production by Spiking Neural Networks With Reward-Modulated STDP14
Symmetry-Based Representations for Artificial and Biological General Intelligence13
Excitation-Inhibition Balanced Neural Networks for Fast Signal Detection13
Emergence of Neuronal Synchronisation in Coupled Areas13
A Systematic Framework for Olfactory Bulb Signal Transformations13
Free-Energy Model of Emotion Potential: Modeling Arousal Potential as Information Content Induced by Complexity and Novelty12
On the Validity of Neural Mass Models12
Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence12
Active inference, morphogenesis, and computational psychiatry12
A Connectome-Based, Corticothalamic Model of State- and Stimulation-Dependent Modulation of Rhythmic Neural Activity and Connectivity12
Examining Sodium and Potassium Channel Conductances Involved in Hyperexcitability of Chemotherapy-Induced Peripheral Neuropathy: A Mathematical and Cell Culture-Based Study12
Self-decisive algorithm for unconstrained optimization problems as in biomedical image analysis11
Two-Scale Multimodal Medical Image Fusion Based on Structure Preservation11
Integrated world modeling theory expanded: Implications for the future of consciousness11
Multidimensional Face Representation in a Deep Convolutional Neural Network Reveals the Mechanism Underlying AI Racism11
Predicting Antidepressant Citalopram Treatment Response via Changes in Brain Functional Connectivity After Acute Intravenous Challenge11
DNNBrain: A Unifying Toolbox for Mapping Deep Neural Networks and Brains11
Neural Substrates of the Drift-Diffusion Model in Brain Disorders11
Evaluating State Space Discovery by Persistent Cohomology in the Spatial Representation System11
Dynamic models for musical rhythm perception and coordination11
Topological View of Flows Inside the BOLD Spontaneous Activity of the Human Brain11
Structural Features of the Human Connectome That Facilitate the Switching of Brain Dynamics via Noradrenergic Neuromodulation11
Mind Causality: A Computational Neuroscience Approach11
Transition of Neural Activity From the Chaotic Bipolar-Disorder State to the Periodic Healthy State Using External Feedback Signals11
Spike-Timing Dependent Plasticity Effect on the Temporal Patterning of Neural Synchronization10
Connectome-Based Model Predicts Deep Brain Stimulation Outcome in Parkinson's Disease10
Improvement of Multiparametric MR Image Segmentation by Augmenting the Data With Generative Adversarial Networks for Glioma Patients10
Upper Limit on the Thermodynamic Information Content of an Action Potential10
Synchronization, Stochasticity, and Phase Waves in Neuronal Networks With Spatially-Structured Connectivity10
Impact of Physical Obstacles on the Structural and Effective Connectivity of in silico Neuronal Circuits10
Computational Evidence for a Competitive Thalamocortical Model of Spikes and Spindle Activity in Rolandic Epilepsy9
Comparison of Two-Dimensional- and Three-Dimensional-Based U-Net Architectures for Brain Tissue Classification in One-Dimensional Brain CT9
Efficient Temporal Coding in the Early Visual System: Existing Evidence and Future Directions9
Admittance Method for Estimating Local Field Potentials Generated in a Multi-Scale Neuron Model of the Hippocampus9
Temporal-Sequential Learning With a Brain-Inspired Spiking Neural Network and Its Application to Musical Memory9
Prediction and Modeling of Neuropsychological Scores in Alzheimer’s Disease Using Multimodal Neuroimaging Data and Artificial Neural Networks9
Time Is of the Essence: Neural Codes, Synchronies, Oscillations, Architectures9
Addressing skepticism of the critical brain hypothesis9
E2ENNet: An end-to-end neural network for emotional brain-computer interface9
Identifiability of a Binomial Synapse9
Editorial: Recent advances in EEG (non-invasive) based BCI applications9
Integrating ankle and hip strategies for the stabilization of upright standing: An intermittent control model9
Research on efficient feature extraction: Improving YOLOv5 backbone for facial expression detection in live streaming scenes9
Editorial: Understanding and Bridging the Gap Between Neuromorphic Computing and Machine Learning9
Do Muscle Synergies Improve Optimization Prediction of Muscle Activations During Gait?9
Unsupervised Learning and Clustered Connectivity Enhance Reinforcement Learning in Spiking Neural Networks9
From CAPTCHA to Commonsense: How Brain Can Teach Us About Artificial Intelligence9
Improving Between-Group Effect Size for Multi-Site Functional Connectivity Data via Site-Wise De-Meaning8
InverseMuscleNET: Alternative Machine Learning Solution to Static Optimization and Inverse Muscle Modeling8
EEGs Vary Less Between Lab and Home Locations Than They Do Between People8
Editorial: Inter- and Intra-subject Variability in Brain Imaging and Decoding8
The Face Module Emerged in a Deep Convolutional Neural Network Selectively Deprived of Face Experience8
Compensatory mechanism of attention-deficit/hyperactivity disorder recovery in resting state alpha rhythms8
Event-Based Trajectory Prediction Using Spiking Neural Networks8
Deep Gated Hebbian Predictive Coding Accounts for Emergence of Complex Neural Response Properties Along the Visual Cortical Hierarchy8
Top-Down Control of Inhibitory Granule Cells in the Main Olfactory Bulb Reshapes Neural Dynamics Giving Rise to a Diversity of Computations8
Mechanical Learning for Prediction of Sepsis-Associated Encephalopathy8
Contextual Integration in Cortical and Convolutional Neural Networks8
Steering the Volume of Tissue Activated With a Directional Deep Brain Stimulation Lead in the Globus Pallidus Pars Interna: A Modeling Study With Heterogeneous Tissue Properties8
Perspective Taking in Deep Reinforcement Learning Agents8
Synchronization in simplicial complexes of memristive Rulkov neurons8
Optimality Principles in Human Point-to-Manifold Reaching Accounting for Muscle Dynamics8
Nonlinear Control in the Nematode C. elegans8
Dynamics and Information Import in Recurrent Neural Networks8
Photorealistic Reconstruction of Visual Texture From EEG Signals8
Machine Learning to Predict Brain Amyloid Pathology in Pre-dementia Alzheimer’s Disease Using QEEG Features and Genetic Algorithm Heuristic8
Behavioral Time Scale Plasticity of Place Fields: Mathematical Analysis8
Transfer learning-based modified inception model for the diagnosis of Alzheimer's disease8
Critical and Ictal Phases in Simulated EEG Signals on a Small-World Network7
HTsort: Enabling Fast and Accurate Spike Sorting on Multi-Electrode Arrays7
A Neuromechanical Model of Multiple Network Rhythmic Pattern Generators for Forward Locomotion in C. elegans7
Emotion Recognition Based on Dynamic Energy Features Using a Bi-LSTM Network7
A Computational Model of Working Memory Based on Spike-Timing-Dependent Plasticity7
Quantifying the Landscape of Decision Making From Spiking Neural Networks7
Identifying Individuals With Mild Cognitive Impairment Using Working Memory-Induced Intra-Subject Variability of Resting-State EEGs7
Inter-band Bispectral Analysis of EEG Background Activity to Characterize Alzheimer's Disease Continuum7
Interpretation of Frequency Channel-Based CNN on Depression Identification7
Data Augmentation for EEG-Based Emotion Recognition Using Generative Adversarial Networks7
A Neuron-Glial Model of Exosomal Release in the Onset and Progression of Alzheimer's Disease7
An efficient computer vision-based approach for acute lymphoblastic leukemia prediction7
Stability Evaluation of Brain Changes in Parkinson's Disease Based on Machine Learning7
Implementation-Independent Representation for Deep Convolutional Neural Networks and Humans in Processing Faces7
Performance Analysis With Different Types of Visual Stimuli in a BCI-Based Speller Under an RSVP Paradigm7
Unveiling Stimulation Secrets of Electrical Excitation of Neural Tissue Using a Circuit Probability Theory7
Identification of Exploration and Exploitation Balance in the Silkmoth Olfactory Search Behavior by Information-Theoretic Modeling7
Multiple-Timescale Neural Networks: Generation of History-Dependent Sequences and Inference Through Autonomous Bifurcations6
A Non-spiking Neuron Model With Dynamic Leak to Avoid Instability in Recurrent Networks6
From Topological Analyses to Functional Modeling: The Case of Hippocampus6
Treatment Enhances Betweenness Centrality of Fronto-Parietal Network in Parkinson’s Patients6
A Computational Model of the Cholinergic Modulation of CA1 Pyramidal Cell Activity6
The Concept of Symmetry and the Theory of Perception6
A Complex-Valued Oscillatory Neural Network for Storage and Retrieval of Multidimensional Aperiodic Signals6
Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging6
The Face Inversion Effect in Deep Convolutional Neural Networks6
Measuring Efficiency of Semi-automated Brain Tumor Segmentation by Simulating User Interaction6
Biosignal-Based Attention Monitoring to Support Nuclear Operator Safety-Relevant Tasks6
Variational Online Learning of Neural Dynamics6
Identification of Emotion Using Electroencephalogram by Tunable Q-Factor Wavelet Transform and Binary Gray Wolf Optimization6
Granular layEr Simulator: Design and Multi-GPU Simulation of the Cerebellar Granular Layer6
Mean-field based framework for forward modeling of LFP and MEG signals6
Short- and Long-Range Connections Differentially Modulate the Dynamics and State of Small-World Networks5
Abnormal Dynamic Functional Networks in Subjective Cognitive Decline and Alzheimer's Disease5
A Network Architecture for Bidirectional Neurovascular Coupling in Rat Whisker Barrel Cortex5
RETRACTED: Cerebral Microbleed Detection via Convolutional Neural Network and Extreme Learning Machine5
Flexible intentions: An Active Inference theory5
Deep Residual Convolutional Neural Networks for Brain–Computer Interface to Visualize Neural Processing of Hand Movements in the Human Brain5
Neck Pain: Do We Know Enough About the Sensorimotor Control System?5
Learning Long Temporal Sequences in Spiking Networks by Multiplexing Neural Oscillations5
Assessment of Carotid Plaque Stability Using Contrast-Enhanced Ultrasound and Its Correlation With the Expression of CD147 and MMP-9 in the Plaque5
A Neuroscience Levels of Explanation Approach to the Mind and the Brain5
Toward a unifying framework for the modeling and identification of motor primitives5
Insertion Guidance Based on Impedance Measurements of a Cochlear Electrode Array5
Local Homeostatic Regulation of the Spectral Radius of Echo-State Networks5
Aberrant Correlation Between the Default Mode and Salience Networks in Mild Traumatic Brain Injury5
Explosive Synchronization-Based Brain Modulation Reduces Hypersensitivity in the Brain Network: A Computational Model Study5
Proto-Object Based Saliency Model With Texture Detection Channel5
A CNN-Based Deep Learning Approach for SSVEP Detection Targeting Binaural Ear-EEG5
Semantic Relatedness Emerges in Deep Convolutional Neural Networks Designed for Object Recognition5
Editorial: Understanding the Importance of Temporal Coupling of Neural Activities in Information Processing Underlying Action and Perception5
Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn5
Neurons as Canonical Correlation Analyzers5
Optimal Organization of Functional Connectivity Networks for Segregation and Integration With Large-Scale Critical Dynamics in Human Brains5
Neural Systems Under Change of Scale5
Editorial: Temporal Structure of Neural Processes Coupling Sensory, Motor and Cognitive Functions of the Brain5
A computational approach based on weighted gene co-expression network analysis for biomarkers analysis of Parkinson’s disease and construction of diagnostic model4
Exponential Time Differencing Algorithm for Pulse-Coupled Hodgkin-Huxley Neural Networks4
Predicting Spike Features of Hodgkin-Huxley-Type Neurons With Simple Artificial Neural Network4
An efficient approach for textual data classification using deep learning4
Method for persistent topological features extraction of schizophrenia patients’ electroencephalography signal based on persistent homology4
Revealing the Computational Meaning of Neocortical Interarea Signals4
A Noninvasive BCI System for 2D Cursor Control Using a Spectral-Temporal Long Short-Term Memory Network4
Interactions of Medial and Lateral Prefrontal Cortex in Hierarchical Predictive Coding4
Finding the Location of Axonal Activation by a Miniature Magnetic Coil4
Invariance of object detection in untrained deep neural networks4
A P300-Detection Method Based on Logistic Regression and a Convolutional Neural Network4
Hierarchical Sparse Coding of Objects in Deep Convolutional Neural Networks4
Synaptic Diversity Suppresses Complex Collective Behavior in Networks of Theta Neurons4
Decoding Digital Visual Stimulation From Neural Manifold With Fuzzy Leaning on Cortical Oscillatory Dynamics4
Functional Brain Connections Identify Sensorineural Hearing Loss and Predict the Outcome of Cochlear Implantation4
How Many Muscles? Optimal Muscles Set Search for Optimizing Myocontrol Performance4
SRI-EEG: State-Based Recurrent Imputation for EEG Artifact Correction4
Heart disease detection based on internet of things data using linear quadratic discriminant analysis and a deep graph convolutional neural network4
Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms4
Comparing Theories for the Maintenance of Late LTP and Long-Term Memory: Computational Analysis of the Roles of Kinase Feedback Pathways and Synaptic Reactivation4
Sparse Granger Causality Analysis Model Based on Sensors Correlation for Emotion Recognition Classification in Electroencephalography4
Analysis of the Neuron Dynamics in Thalamic Reticular Nucleus by a Reduced Model4
Disorder and the Neural Representation of Complex Odors4
Bayesian continual learning via spiking neural networks4
A mechanistic model of ADHD as resulting from dopamine phasic/tonic imbalance during reinforcement learning4
Intrinsic and Synaptic Properties Shaping Diverse Behaviors of Neural Dynamics4
Locomotor Pattern and Force Generation Modulated by Ionic Channels: A Computational Study of Spinal Networks Underlying Locomotion4
Functional Connectivity and Complexity in the Phenomenological Model of Mild Cognitive-Impaired Alzheimer's Disease4
Identification of feature genes and pathways for Alzheimer's disease via WGCNA and LASSO regression4
Predicting the distribution of serotonergic axons: a supercomputing simulation of reflected fractional Brownian motion in a 3D-mouse brain model4
Extracting Dynamical Understanding From Neural-Mass Models of Mouse Cortex4
Understanding implicit and explicit sensorimotor learning through neural dynamics4
Fractional-Order Traveling Wave Approximations for a Fractional-Order Neural Field Model4
Predictive neuromodulation of cingulo-frontal neural dynamics in major depressive disorder using a brain-computer interface system: A simulation study4
Kohonen neural network and symbiotic-organism search algorithm for intrusion detection of network viruses4
Chimera Patterns of Synchrony in a Frustrated Array of Hebb Synapses4
Differential Contributions of Inhibitory Subnetwork to Visual Cortical Modulations Identified via Computational Model of Working Memory4
Editorial: Memristor Computing for Neuromorphic Systems3
Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception3
Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation3
Noise-tuned bursting in a Hedgehog burster3
Improving focality and consistency in micromagnetic stimulation3
Cortico-Hippocampal Computational Modeling Using Quantum-Inspired Neural Networks3
Computational Characteristics of the Striatal Dopamine System Described by Reinforcement Learning With Fast Generalization3
The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions3
Object Recognition at Higher Regions of the Ventral Visual Stream via Dynamic Inference3
Conscious Multisensory Integration: Introducing a Universal Contextual Field in Biological and Deep Artificial Neural Networks3
Simulation and Mitigation of the Wrap-Around Artifact in the MRI Image3
An Approach for Stabilizing Abnormal Neural Activity in ADHD Using Chaotic Resonance3
A Plane-Dependent Model of 3D Grid Cells for Representing Both 2D and 3D Spaces Under Various Navigation Modes3
A Radiomics Nomogram for Non-Invasive Prediction of Progression-Free Survival in Esophageal Squamous Cell Carcinoma3
neuroAIx-Framework: design of future neuroscience simulation systems exhibiting execution of the cortical microcircuit model 20× faster than biological real-time3
The Connectivity Fingerprints of Highly-Skilled and Disordered Reading Persist Across Cognitive Domains3
Augmenting Human Selves Through Artificial Agents – Lessons From the Brain3
Cross-Frequency Slow Oscillation–Spindle Coupling in a Biophysically Realistic Thalamocortical Neural Mass Model3
Hierarchical Sequencing and Feedforward and Feedback Control Mechanisms in Speech Production: A Preliminary Approach for Modeling Normal and Disordered Speech3
Image Quality Evaluation of Light Field Image Based on Macro-Pixels and Focus Stack3
Cross-site scripting attack detection based on a modified convolution neural network3
Double Two-State Opsin Model With Autonomous Parameter Inference3
Generalised Analog LSTMs Recurrent Modules for Neural Computing3
Visual Explanation for Identification of the Brain Bases for Developmental Dyslexia on fMRI Data3
Training spiking neuronal networks to perform motor control using reinforcement and evolutionary learning3
On the Role of Neural Oscillations Across Timescales in Speech and Music Processing3
Topographic Organization of Correlation Along the Longitudinal and Transverse Axes in Rat Hippocampal CA3 Due to Excitatory Afferents3
A Framework for Text Classification Using Evolutionary Contiguous Convolutional Neural Network and Swarm Based Deep Neural Network3
Ayu-Characterization of healthy aging from neuroimaging data with deep learning and rsfMRI3
A Computational Framework for Controlling the Self-Restorative Brain Based on the Free Energy and Degeneracy Principles3
Recent Trends in Non-invasive Neural Recording Based Brain-to-Brain Synchrony Analysis on Multidisciplinary Human Interactions for Understanding Brain Dynamics: A Systematic Review3
Transfer of Learning in the Convolutional Neural Networks on Classifying Geometric Shapes Based on Local or Global Invariants3
Reconfigurable Filtering of Neuro-Spike Communications Using Synthetically Engineered Logic Circuits3
Analysis based on neural representation of natural object surfaces to elucidate the mechanisms of a trained AlexNet model3
A Multiscale, Systems-Level, Neuropharmacological Model of Cortico-Basal Ganglia System for Arm Reaching Under Normal, Parkinsonian, and Levodopa Medication Conditions3
Closed-Loop Tracking and Regulation of Emotional Valence State From Facial Electromyogram Measurements3
Quasicriticality explains variability of human neural dynamics across life span3
Computing the partition dimension of certain families of Toeplitz graph3
Necessary Conditions for Reliable Propagation of Slowly Time-Varying Firing Rate3
A neural learning approach for simultaneous object detection and grasp detection in cluttered scenes3
Human Texture Vision as Multi-Order Spectral Analysis3
Emergent Dynamics and Spatio Temporal Patterns on Multiplex Neuronal Networks3
Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols3
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