Frontiers in Computational Neuroscience

Papers
(The TQCC of Frontiers in Computational Neuroscience is 5. 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
Spiking Neural Network (SNN) With Memristor Synapses Having Non-linear Weight Update33
EEG-based emotion recognition using hybrid CNN and LSTM classification33
The Neuroscience of Spatial Navigation and the Relationship to Artificial Intelligence30
GLSNN: A Multi-Layer Spiking Neural Network Based on Global Feedback Alignment and Local STDP Plasticity29
An Investigation of the Free Energy Principle for Emotion Recognition29
Optimal Self-Induced Stochastic Resonance in Multiplex Neural Networks: Electrical vs. Chemical Synapses27
Serotonergic Axons as Fractional Brownian Motion Paths: Insights Into the Self-Organization of Regional Densities26
Fast Simulations of Highly-Connected Spiking Cortical Models Using GPUs26
Criticality, Connectivity, and Neural Disorder: A Multifaceted Approach to Neural Computation25
Ensemble deep learning for brain tumor detection25
Learning Generative State Space Models for Active Inference24
Unsupervised Few-Shot Feature Learning via Self-Supervised Training24
Stochastic Resonance Based Visual Perception Using Spiking Neural Networks24
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
Will We Ever Have Conscious Machines?19
Oscillatory Bursting as a Mechanism for Temporal Coupling and Information Coding19
Emergence of Stable Synaptic Clusters on Dendrites Through Synaptic Rewiring19
Whole-Brain Network Models: From Physics to Bedside18
Toward Reflective Spiking Neural Networks Exploiting Memristive Devices18
Emergence of Mixed Mode Oscillations in Random Networks of Diverse Excitable Neurons: The Role of Neighbors and Electrical Coupling18
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
Functional Brain Networks in Mild Cognitive Impairment Based on Resting Electroencephalography Signals17
Hardware Design for Autonomous Bayesian Networks16
Fano Factor: A Potentially Useful Information16
Electroencephalogram Emotion Recognition Based on 3D Feature Fusion and Convolutional Autoencoder16
Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices15
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
Gated Recurrent Units Viewed Through the Lens of Continuous Time Dynamical Systems14
Brain Inspired Sequences Production by Spiking Neural Networks With Reward-Modulated STDP14
A comprehensive neural simulation of slow-wave sleep and highly responsive wakefulness dynamics14
Status of deep learning for EEG-based brain–computer interface applications14
A Systematic Framework for Olfactory Bulb Signal Transformations13
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
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
Free-Energy Model of Emotion Potential: Modeling Arousal Potential as Information Content Induced by Complexity and Novelty12
On the Validity of Neural Mass Models12
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
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
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
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
Efficient Temporal Coding in the Early Visual System: Existing Evidence and Future Directions9
E2ENNet: An end-to-end neural network for emotional brain-computer interface9
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
Addressing skepticism of the critical brain hypothesis9
Identifiability of a Binomial Synapse9
Do Muscle Synergies Improve Optimization Prediction of Muscle Activations During Gait?9
From CAPTCHA to Commonsense: How Brain Can Teach Us About Artificial Intelligence9
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
Editorial: Understanding and Bridging the Gap Between Neuromorphic Computing and Machine Learning9
Unsupervised Learning and Clustered Connectivity Enhance Reinforcement Learning in Spiking Neural Networks9
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
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
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
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
Critical and Ictal Phases in Simulated EEG Signals on a Small-World Network7
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
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
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
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
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