OOIR: Observatory of International Research

Papers

(The TQCC of Frontiers in Computational Neuroscience is 6. 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 2020-05-01 to 2024-05-01.)

Article	Citations
A Study on Arrhythmia via ECG Signal Classification Using the Convolutional Neural Network	81
A Deep Learning Approach for Automatic Seizure Detection in Children With Epilepsy	76
Transfer Entropy as a Measure of Brain Connectivity: A Critical Analysis With the Help of Neural Mass Models	70
Overall Survival Prediction in Glioblastoma With Radiomic Features Using Machine Learning	65
ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data	57
Review on Emotion Recognition Based on Electroencephalography	53
An Active Inference Approach to Modeling Structure Learning: Concept Learning as an Example Case	47
Theta-Nested Gamma Oscillations in Next Generation Neural Mass Models	46
EEG-based emotion recognition using hybrid CNN and LSTM classification	36
Spiking Neural Network (SNN) With Memristor Synapses Having Non-linear Weight Update	35
GLSNN: A Multi-Layer Spiking Neural Network Based on Global Feedback Alignment and Local STDP Plasticity	30
The Neuroscience of Spatial Navigation and the Relationship to Artificial Intelligence	30
Fast Simulations of Highly-Connected Spiking Cortical Models Using GPUs	28
Optimal Self-Induced Stochastic Resonance in Multiplex Neural Networks: Electrical vs. Chemical Synapses	28
Ensemble deep learning for brain tumor detection	26
Serotonergic Axons as Fractional Brownian Motion Paths: Insights Into the Self-Organization of Regional Densities	26
Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review	25
Criticality, Connectivity, and Neural Disorder: A Multifaceted Approach to Neural Computation	25
Learning Generative State Space Models for Active Inference	25
Stochastic Resonance Based Visual Perception Using Spiking Neural Networks	24
Unsupervised Few-Shot Feature Learning via Self-Supervised Training	24
RETRACTED: Deep Learning for Autism Diagnosis and Facial Analysis in Children	22
Oscillatory Bursting as a Mechanism for Temporal Coupling and Information Coding	21
Whole-Brain Network Models: From Physics to Bedside	20
Evaluation of Synergy Extrapolation for Predicting Unmeasured Muscle Excitations from Measured Muscle Synergies	20

Emergence of Stable Synaptic Clusters on Dendrites Through Synaptic Rewiring	19
Will We Ever Have Conscious Machines?	19
Toward Reflective Spiking Neural Networks Exploiting Memristive Devices	19
Emergence of Mixed Mode Oscillations in Random Networks of Diverse Excitable Neurons: The Role of Neighbors and Electrical Coupling	18
Electroencephalogram Emotion Recognition Based on 3D Feature Fusion and Convolutional Autoencoder	17
Hardware Design for Autonomous Bayesian Networks	17
Functional Brain Networks in Mild Cognitive Impairment Based on Resting Electroencephalography Signals	17
Learning Invariant Object and Spatial View Representations in the Brain Using Slow Unsupervised Learning	17
Spatiotemporal Patterns of Adaptation-Induced Slow Oscillations in a Whole-Brain Model of Slow-Wave Sleep	17
Fano Factor: A Potentially Useful Information	16
Emergent Spaces for Coupled Oscillators	16
Accelerating Inference of Convolutional Neural Networks Using In-memory Computing	15
A comprehensive neural simulation of slow-wave sleep and highly responsive wakefulness dynamics	15
Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices	15
Quantitative Assessment of Stress Through EEG During a Virtual Reality Stress-Relax Session	15
Gated Recurrent Units Viewed Through the Lens of Continuous Time Dynamical Systems	14
Status of deep learning for EEG-based brain–computer interface applications	14
Brain Inspired Sequences Production by Spiking Neural Networks With Reward-Modulated STDP	14
Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence	13
Emergence of Neuronal Synchronisation in Coupled Areas	13
A Systematic Framework for Olfactory Bulb Signal Transformations	13
Active inference, morphogenesis, and computational psychiatry	13
Excitation-Inhibition Balanced Neural Networks for Fast Signal Detection	13
Symmetry-Based Representations for Artificial and Biological General Intelligence	13
Synchronization in simplicial complexes of memristive Rulkov neurons	13
Efficient Temporal Coding in the Early Visual System: Existing Evidence and Future Directions	12
Structural Features of the Human Connectome That Facilitate the Switching of Brain Dynamics via Noradrenergic Neuromodulation	12
Evaluating State Space Discovery by Persistent Cohomology in the Spatial Representation System	12
Dynamic models for musical rhythm perception and coordination	12
A Connectome-Based, Corticothalamic Model of State- and Stimulation-Dependent Modulation of Rhythmic Neural Activity and Connectivity	12
Examining Sodium and Potassium Channel Conductances Involved in Hyperexcitability of Chemotherapy-Induced Peripheral Neuropathy: A Mathematical and Cell Culture-Based Study	12
Free-Energy Model of Emotion Potential: Modeling Arousal Potential as Information Content Induced by Complexity and Novelty	12
On the Validity of Neural Mass Models	12
Self-decisive algorithm for unconstrained optimization problems as in biomedical image analysis	11
DNNBrain: A Unifying Toolbox for Mapping Deep Neural Networks and Brains	11
Neural Substrates of the Drift-Diffusion Model in Brain Disorders	11
Predicting Antidepressant Citalopram Treatment Response via Changes in Brain Functional Connectivity After Acute Intravenous Challenge	11
Integrated world modeling theory expanded: Implications for the future of consciousness	11
Mind Causality: A Computational Neuroscience Approach	11
Two-Scale Multimodal Medical Image Fusion Based on Structure Preservation	11
Multidimensional Face Representation in a Deep Convolutional Neural Network Reveals the Mechanism Underlying AI Racism	11
Transition of Neural Activity From the Chaotic Bipolar-Disorder State to the Periodic Healthy State Using External Feedback Signals	11
Deep Gated Hebbian Predictive Coding Accounts for Emergence of Complex Neural Response Properties Along the Visual Cortical Hierarchy	10
Spike-Timing Dependent Plasticity Effect on the Temporal Patterning of Neural Synchronization	10
Mechanical Learning for Prediction of Sepsis-Associated Encephalopathy	10
From CAPTCHA to Commonsense: How Brain Can Teach Us About Artificial Intelligence	10
Connectome-Based Model Predicts Deep Brain Stimulation Outcome in Parkinson's Disease	10
Synchronization, Stochasticity, and Phase Waves in Neuronal Networks With Spatially-Structured Connectivity	10
InverseMuscleNET: Alternative Machine Learning Solution to Static Optimization and Inverse Muscle Modeling	10
Improvement of Multiparametric MR Image Segmentation by Augmenting the Data With Generative Adversarial Networks for Glioma Patients	10

Integrating ankle and hip strategies for the stabilization of upright standing: An intermittent control model	10
Upper Limit on the Thermodynamic Information Content of an Action Potential	10
Optimality Principles in Human Point-to-Manifold Reaching Accounting for Muscle Dynamics	10
Impact of Physical Obstacles on the Structural and Effective Connectivity of in silico Neuronal Circuits	10
Temporal-Sequential Learning With a Brain-Inspired Spiking Neural Network and Its Application to Musical Memory	10
Computational Evidence for a Competitive Thalamocortical Model of Spikes and Spindle Activity in Rolandic Epilepsy	10
Identifiability of a Binomial Synapse	9
Do Muscle Synergies Improve Optimization Prediction of Muscle Activations During Gait?	9
Editorial: Recent advances in EEG (non-invasive) based BCI applications	9
Comparison of Two-Dimensional- and Three-Dimensional-Based U-Net Architectures for Brain Tissue Classification in One-Dimensional Brain CT	9
Addressing skepticism of the critical brain hypothesis	9
Unsupervised Learning and Clustered Connectivity Enhance Reinforcement Learning in Spiking Neural Networks	9
Prediction and Modeling of Neuropsychological Scores in Alzheimer’s Disease Using Multimodal Neuroimaging Data and Artificial Neural Networks	9
Research on efficient feature extraction: Improving YOLOv5 backbone for facial expression detection in live streaming scenes	9
Editorial: Understanding and Bridging the Gap Between Neuromorphic Computing and Machine Learning	9
E2ENNet: An end-to-end neural network for emotional brain-computer interface	9
Admittance Method for Estimating Local Field Potentials Generated in a Multi-Scale Neuron Model of the Hippocampus	9
Event-Based Trajectory Prediction Using Spiking Neural Networks	9
Time Is of the Essence: Neural Codes, Synchronies, Oscillations, Architectures	9
An efficient computer vision-based approach for acute lymphoblastic leukemia prediction	8
Inter-band Bispectral Analysis of EEG Background Activity to Characterize Alzheimer's Disease Continuum	8
Top-Down Control of Inhibitory Granule Cells in the Main Olfactory Bulb Reshapes Neural Dynamics Giving Rise to a Diversity of Computations	8
Nonlinear Control in the Nematode C. elegans	8
EEGs Vary Less Between Lab and Home Locations Than They Do Between People	8
The Face Module Emerged in a Deep Convolutional Neural Network Selectively Deprived of Face Experience	8
Perspective Taking in Deep Reinforcement Learning Agents	8
A Computational Model of Working Memory Based on Spike-Timing-Dependent Plasticity	8
Compensatory mechanism of attention-deficit/hyperactivity disorder recovery in resting state alpha rhythms	8
Stability Evaluation of Brain Changes in Parkinson's Disease Based on Machine Learning	8
A Neuromechanical Model of Multiple Network Rhythmic Pattern Generators for Forward Locomotion in C. elegans	8
Data Augmentation for EEG-Based Emotion Recognition Using Generative Adversarial Networks	8
Editorial: Inter- and Intra-subject Variability in Brain Imaging and Decoding	8
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 Properties	8
Quantifying the Landscape of Decision Making From Spiking Neural Networks	8
Behavioral Time Scale Plasticity of Place Fields: Mathematical Analysis	8
Transfer learning-based modified inception model for the diagnosis of Alzheimer's disease	8
Improving Between-Group Effect Size for Multi-Site Functional Connectivity Data via Site-Wise De-Meaning	8
Performance Analysis With Different Types of Visual Stimuli in a BCI-Based Speller Under an RSVP Paradigm	8
Dynamics and Information Import in Recurrent Neural Networks	8
Photorealistic Reconstruction of Visual Texture From EEG Signals	8
Machine Learning to Predict Brain Amyloid Pathology in Pre-dementia Alzheimer’s Disease Using QEEG Features and Genetic Algorithm Heuristic	8
A Neuron-Glial Model of Exosomal Release in the Onset and Progression of Alzheimer's Disease	8
Mean-field based framework for forward modeling of LFP and MEG signals	8
Variational Online Learning of Neural Dynamics	7
Identification of Emotion Using Electroencephalogram by Tunable Q-Factor Wavelet Transform and Binary Gray Wolf Optimization	7
Unveiling Stimulation Secrets of Electrical Excitation of Neural Tissue Using a Circuit Probability Theory	7
Implementation-Independent Representation for Deep Convolutional Neural Networks and Humans in Processing Faces	7
Interpretation of Frequency Channel-Based CNN on Depression Identification	7
Neck Pain: Do We Know Enough About the Sensorimotor Control System?	7
Identification of Exploration and Exploitation Balance in the Silkmoth Olfactory Search Behavior by Information-Theoretic Modeling	7
Identifying Individuals With Mild Cognitive Impairment Using Working Memory-Induced Intra-Subject Variability of Resting-State EEGs	7
Emotion Recognition Based on Dynamic Energy Features Using a Bi-LSTM Network	7
Multiple-Timescale Neural Networks: Generation of History-Dependent Sequences and Inference Through Autonomous Bifurcations	7
The Face Inversion Effect in Deep Convolutional Neural Networks	7
Critical and Ictal Phases in Simulated EEG Signals on a Small-World Network	7
HTsort: Enabling Fast and Accurate Spike Sorting on Multi-Electrode Arrays	7
Biosignal-Based Attention Monitoring to Support Nuclear Operator Safety-Relevant Tasks	6
Toward a unifying framework for the modeling and identification of motor primitives	6
A Non-spiking Neuron Model With Dynamic Leak to Avoid Instability in Recurrent Networks	6
An efficient approach for textual data classification using deep learning	6
Granular layEr Simulator: Design and Multi-GPU Simulation of the Cerebellar Granular Layer	6
A Computational Model of the Cholinergic Modulation of CA1 Pyramidal Cell Activity	6
The Concept of Symmetry and the Theory of Perception	6
Simulation and Mitigation of the Wrap-Around Artifact in the MRI Image	6
Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging	6
Optimal Organization of Functional Connectivity Networks for Segregation and Integration With Large-Scale Critical Dynamics in Human Brains	6
Explosive Synchronization-Based Brain Modulation Reduces Hypersensitivity in the Brain Network: A Computational Model Study	6
A Simplified Plasticity Model Based on Synaptic Tagging and Capture Theory: Simplified STC	6
A Complex-Valued Oscillatory Neural Network for Storage and Retrieval of Multidimensional Aperiodic Signals	6
Aberrant Correlation Between the Default Mode and Salience Networks in Mild Traumatic Brain Injury	6
From Topological Analyses to Functional Modeling: The Case of Hippocampus	6
Treatment Enhances Betweenness Centrality of Fronto-Parietal Network in Parkinson’s Patients	6