yusuke1997/dblp-id-title huggingface dataset:
Cortical excitability and Refractory epilepsy: a Three-Year longitudinal Transcranial Magnetic Stimulation Study
Classification of EEG Single Trial Microstates Using Local Global Graphs and Discrete Hidden Markov Models
Direct Explanations for the Development and Use of a Multi-layer Perceptron Network that Classifies Low-back-pain Patients
Development of neural mechanisms for machine learning
Enhanced Graph Attention Network by Integrating Transformer for Epileptic EEG Identification
Spiking Neural P Systems with Communication on Request
Book Review: "Cellular Neural Networks", by T. Roska and J. Vandewalle
Impulsivity Classification Using EEG Power and Explainable Machine Learning
Right Fronto-Temporal EEG can Differentiate the Affective Responses to Award-Winning Advertisements
A Novel Electrical Stimulation Paradigm for the Suppression of epileptiform Activity in an in vivo Model of mesial Temporal Lobe Status Epilepticus
Temporal Backpropagation for Spiking Neural Networks with One Spike per Neuron
Examining the Chir Algorithm Performance for Multilayer Networks and Continuous Input Vectors
New Criteria of Almost Periodic Solution for BAM Neural Networks with Delays and impulsive Effects
A Multi-Objective Evolutionary Approach Based on Graph-in-Graph for Neural Architecture Search of Convolutional Neural Networks
Separating burst from Background Spikes in multichannel neuronal recordings using Return Map Analysis
An updated Time-Optimal 3rd-Order Linear Saccadic Eye Plant Model
Analog Vlsi Implementation of Resonate-and-fire Neuron
Generation of Chow Parameters and Reduced Variables Through Nearest Neighbor Relations in Threshold Networks
Modeling and analysis of gene expression time-series based on co-expression
Facial Affect Recognition in Immersive Virtual Reality: Where is the Participant Looking?
Empirical error-confidence Curves for Neural Network and Gaussian Classifiers
Knowledge Extraction from Evolving Spiking Neural Networks with Rank Order Population Coding
Recruitment Learning Of Boolean Functions In Sparse Random Networks
A Multivariate Cloud Workload Prediction Method Integrating Convolutional Nonlinear Spiking Neural Model with Bidirectional Long Short-Term Memory
Neural Net Pruning Based On Functional Behavior Of Neurons
Toward a Biologically Plausible SNN-Based Associative Memory with Context-Dependent Hebbian Connectivity
Improving Generalization of Neural Networks Through Pruning
Predicting Spatial Data With Rbf Networks
Coherence-Based Graph Convolution Network to Assess Brain Reorganization in Spinal Cord Injury Patients
Knowledge Graph Embedding Model Based on Spiking Neural-like Graph Attention Network for Relation Prediction
A Method for Suppressing Electrical Stimulation Artifacts from Electromyography
Editorial - A Journal that Promotes Excellence Through Uncompromising Review Process: Reflection of Freedom of Speech and Scientific Publication
Cortical Thickness and Surface Area Networks in Healthy Aging, Alzheimer's Disease and Behavioral Variant Fronto-Temporal Dementia
A Novel Method of Building Functional Brain Network Using Deep Learning Algorithm with Application in Proficiency Detection
Hysteresis Modeling in Iron-Dominated Magnets Based on a Multi-Layered NARX Neural Network Approach
Model and Analysis for the Onset of Parkinsonian Firing Patterns in a Simplified Basal Ganglia
Microsleeps are Associated with Stage-2 Sleep Spindles from Hippocampal-Temporal Network
Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling
An Adaptive Boolean Automaton to Model Circadian cycles
Dynamical Recurrent Neuro-Fuzzy Identification Schemes Employing Switching parameter Hopping
An MLP Training Algorithm Taking into Account Known Errors on Inputs and Outputs
Non-Invasive Computerized System for Automatically Initiating Vagus Nerve Stimulation Following Patient-Specific Detection of Seizures or epileptiform discharges
Relationship between Applicability of Current-Based Synapses and Uniformity of Firing Patterns
A General Approach for Quantifying Nonlinear Connectivity in the Nervous System Based on Phase Coupling
A Deep Regression Approach for Human Activity Recognition Under Partial Occlusion
Color Image Correction for Scanner and Printer Using B-spline CMAC Neural Networks
Exact Classification with Two-Layered Perceptrons
Using Dictionary Pair Learning for Seizure Detection
Gaussian Neural Networks for Glass Bottles Inspection: A Learning Procedure
Online EEG Classification of Covert Speech for Brain-Computer Interfacing
Discrete Learning in Feed-Forward Neural Networks
Building a Robust Nearest Neighbor Classifier Containing Only a Small Number of rototypes
Assembling A Multi-Feature EEG Classifier for Left-Right Motor Imagery Data Using Wavelet-Based Fuzzy Approximate Entropy for Improved Accuracy
Nonlinear Connectivity in the Human Stretch Reflex Assessed by Cross-Frequency Phase Coupling
Nonlinear Torque and Air-to-Fuel Ratio Control of SPARK Ignition Engines Using Neuro-Sliding Mode Techniques
Artificial Neural Network Learning of Nonstationary Behavior in Time Series
Principal Polynomial Analysis
Attraction Basin of Bidirectional Associative Memories
Stress Detection Using Wearable Physiological and Sociometric Sensors
Reward-Penalty Weighted Ensemble for Emotion State Classification from Multi-Modal Data Streams
Book Review: Being There: Putting Brain, Body, and World Together Again, by A. Clark
A Neural Network Model of Metaphor Understanding with Dynamic Interaction Based on a Statistical Language Analysis: Targeting a Human-Like Model
Learning Temporal Sequences from Examples in a Local Feedback Neural Network
A Neural Network Controller for the Path Tracking Control of a Hopping Robot Involving Time Delays
Low-rank Approximation Based non-Negative Multi-Way Array Decomposition on Event-Related potentials
Neuronal Oscillations and Stochastic Limit Cycles
Integrating EEG and MEG Signals to Improve Motor Imagery Classification in Brain-Computer Interface
The Generalization of a Constructive Algorithm in Pattern Classification Problems
Image storage for automated crystallization imaging systems
Learning to Generate Artificial Fovea Trajectories for Target Detection
Emergence of Preferred Firing Sequences in Large Spiking Neural Networks during Simulated Neuronal Development
Self-organizing map-based discovery and visualization of human endogenous retroviral sequence groups
Impact of Machine Learning Pipeline Choices in Autism Prediction From Functional Connectivity Data
Receptive field properties of near neighbor orientation selective neurons in the visual cortex: a modeling study
Incorporating Production Rules with Spatial Information Onto a Neocognitron Neural Network
Correcting Distortions in Panoramic Images Using Constructive Neural Networks
Statistical Performance Analysis of Data-Driven Neural Models
Recognition of telugu characters using neural networks
Identifying Suitable Brain Regions and Trial Size Segmentation for Positive/Negative Emotion Recognition
A Structural Parametrization of the Brain Using Hidden Markov Models-Based Paths in Alzheimer's Disease
Using the potts glass for solving the clustering problem
Supervised Training of Dynamical Neural Networks for Associative Memory Design and Identification of Nonlinear Maps
The Relationship Between Ictal Multi-Unit Activity and the Electrocorticogram
Deep Learning Recognition of Paroxysmal Kinesigenic Dyskinesia Based on EEG Functional Connectivity
Transformer-Based Approach Via Contrastive Learning for Zero-Shot Detection
A Kernel Bayesian Adaptive Resonance Theory with A Topological Structure
Constrained Hebbian Learning: Gradient Descent to Global Minima in an N-Dimensional Landscape
A Dual-Model Jumping Fuzzy System Approach to Networked Control Systems Design
An Improved Sparse Representation over Learned Dictionary Method for Seizure Detection
Best Harmony, Unified RPCL and Automated Model Selection for Unsupervised and Supervised Learning on Gaussian Mixtures, Three-Layer Nets and ME-RBF-SVM Models
First Longitudinal Study Using Binaural Beats on Parkinson Disease
Neural Strategies To Handle Routing In Computer Networks
Neurocomputers: A Dead End?
Artificial Neural Networks for Blur Identification and Restoration of Nonlinearly Degraded Images
Arbitrary Scale Super-Resolution for Medical Images
Entropic Analysis and Incremental Synthesis of Multilayered Feedforward Neural Networks
A Binary phase-Shift Keying Receiver for the Detection of Attention to Human speech
A Forward Learning Algorithm for Neural Memory Ordinary Differential Equations
Reconstruction of Neural Activity from EEG Data Using Dynamic Spatiotemporal Constraints
Epileptic EEG Classification via Graph Transformer Network
Faster Training Using Fusion of Activation Functions for Feed Forward Neural Networks
A Spatio-Temporal Method for Extracting Gamma-Band Features to Enhance Classification in a Rapid Serial Visual Presentation Task
Adaptive Control for MIMO uncertain nonlinear Systems Using Recurrent Wavelet Neural Network
Affective Action and Interaction Recognition by Multi-View Representation Learning from Handcrafted Low-Level Skeleton Features
Swarm-FHE: Fully Homomorphic Encryption-based Swarm Learning for Malicious Clients
Control Of The Complexity Of Associative Memory Dynamics By Neuronal Adaptation
Dynamic Stereoelectroencephalography-Based Phase-Amplitude Coupling in Cingulate Epilepsy
Adaptive and Predictive Control of a Simulated Robot arm
Fast Learning Of Biased Patterns In Neural Networks
A Heterogeneous Attractor Model for Neural Dynamical Mechanism of Movement Preparation
Probing to Observe Neural Dynamics Investigated with Networked Kuramoto Oscillators
Detecting Connected Consciousness During Propofol-Induced Anesthesia Using EEG Based Brain Decoding
A Complete Arithmetic Calculator Constructed from Spiking Neural P Systems and its Application to Information Fusion
Real-Time Multi-Modal Estimation of Dynamically Evoked Emotions Using EEG, Heart Rate and Galvanic Skin Response
Global Asymptotic Stability of a Class of Dynamical Neural Networks
Multilevel Laser-Induced Pain Measurement with Wasserstein Generative Adversarial Network - Gradient Penalty Model
Structural Connectionist Learning with Complementary Coding
Characterisation of Haemodynamic Activity in Resting State Networks by Fractal Analysis
Neural Activity Elicited by a Cognitive Task can be Detected in Single-Trials with Simultaneous Intracerebral EEG-fMRI Recordings
Dual-Modal Information Bottleneck Network for Seizure Detection
An Extended Membrane System with Active Membranes to Solve Automatic Fuzzy Clustering Problems
Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim
An Optimization Spiking Neural P System for Approximately Solving Combinatorial Optimization Problems
Unraveling the Differential Efficiency of Dorsal and Ventral Pathways in Visual Semantic Decoding
Rough Sets and Genetic Algorithms in Learning Cellular Neural Networks Cloning Template for Decision Making System
Responsive Neuromodulators Based on Artificial Neural Networks Used to Control Seizure-like Events in a Computational Model of Epilepsy
Evolution-Communication Spiking Neural P Systems
Automated Quality Evaluation of Large-Scale Benchmark Datasets for Vision-Language Tasks
Attention and Visual Search
A Tabular Learning Structure with an Adaptable k-d Tree for Relaxation of the Curse of Dimensionality
Spreading Codes Enables the Blind Estimation of the Hemodynamic Response with Short-Events Sequences
Nonlinear Semi-Supervised Metric Learning Via Multiple Kernels and Local Topology
A Semi-Parametric Hybrid Neural Model for Nonlinear Blind Signal Separation
A Contrastive Learning-Enhanced Residual Network for Predicting Epileptic Seizures Using EEG Signals
A Goal-Driven Neural Propositional Interpreter
On Computational Vision: a Neural Processing Approach
Integrative Multi-Adaptive Biological-Mental-Social Network Modeling of Changing Social and Organizational Contexts, Epigenetics, Personality Traits and Burnout Dimensions
Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression
Simple Algorithms for Distributed Leader Election in Anonymous Synchronous Rings and Complete Networks Inspired by Neural Development in Fruit Flies
A Self-Stabilizing Learning Rule for Minor Component Analysis
A Hardware-Efficient Novelty-Aware Spike Sorting Approach for Brain-Implantable Microsystems
Spiking Neural P Systems with Extended Channel Rules
A 3D Convolutional Neural Network to Model Retinal Ganglion Cell's Responses to Light Patterns in Mice
A Multi-Differential Neuromorphic Approach to Motion Detection
Effect of Action Units, Viewpoint and Immersion on Emotion Recognition Using Dynamic Virtual Faces
Application of a Multi-Structure Neural Network (MSNN) to Sorting Pistachio Nuts
Synchronous and Asynchronous Brain-State-in-a-Box Information System Neural Models
Dynamics of Epileptiform Discharges Induced by Transcranial Magnetic Stimulation in Genetic Generalized Epilepsy
A Fast Procedure for Retraining the Multilayer Perceptron
Learning Topologies with the Growing Neural Forest
Roles of Very Fast Ripple (500-1000Hz) in the Hippocampal Network During Status Epilepticus
Tabu Search Model Selection for SVM
Curved Trajectory Prediction Using a Self-Organizing Neural Network
Dynamical Properties of Min-Max Networks
Attractability and location of equilibrium point of cellular neural networks with time-varying delays
Epileptic EEG Classification by Using Time-Frequency Images for Deep Learning
Analysis and Automatic Identification of Sleep Stages Using Higher Order Spectra
A New Method for the Re-Implementation of Threshold Logic Functions with Cellular Neural Networks
Two-Source Validation of Progressive FastICA Peel-Off for Automatic Surface EMG Decomposition in Human First Dorsal Interosseous Muscle
Deep Learning-Based Classification of Epileptic Electroencephalography Signals Using a Concentrated Time-Frequency Approach
Dynamic Cell Structures for the Evaluation of Keypoints in Facial Images
Neurolight: A Deep Learning Neural Interface for Cortical Visual Prostheses
Information Quantification of Empirical Mode Decomposition and Applications to Field Potentials
Exploratory Analysis of Power Spectrum and Functional Connectivity During Resting State in Young Binge Drinkers: A MEG Study
Frequency Recognition in SSVEP-Based BCI using Multiset Canonical Correlation Analysis
An Action Generation Model by Using Time Series Prediction and its Application to Robot Navigation
Social Behavior of CNS Neurons
Binary Neural Network Training Algorithms Based on Linear Sequential Learning
An Adaptive Optimization Spiking Neural P System for Binary Problems
Novel Neutral Network Approach to Call Admission Control in High-speed Networks
Editorial: A Multidisciplinary and Interdisciplinary Journal for a Wider Community Under a Pioneering Cross-disciplinary Research Leader
Application of Learning Theory to an Artificial Neural Network that Detects Incipient Faults in Single-Phase Induction Motors
Local Noise in Neural Networks Models with Self-Control
Sharpening Of Input Excitation Curves In Lateral Inhibition
Content-Based Image Retrieval System Using Neural Networks
Synchronization Measures of the Scalp Electroencephalogram Can Discriminate Healthy from Alzheimer's Subjects
Biologically Plausible BSDT Recognition of Complex Images: the Case of Human Faces
A Dynamical Model of the Distributed Interaction of Intracellular Signals
A Biologically Motivated Associative Memory Architecture
Study of the Functional Brain Connectivity and Lower-Limb Motor Imagery Performance After Transcranial Direct Current Stimulation
Qualified predictions for microarray and proteomics pattern diagnostics with confidence machines
Arm Orthosis/Prosthesis Movement Control Based on Surface EMG Signal Extraction
Remote sensing operations
Clustering-Neural Network Models For Freeway Work Zone Capacity Estimation
Collective Behavior of Feedback Networks with Distributed Dynamics
Transcranial Magnetic Stimulation (TMS) modulates epileptiform discharges in patients with Frontal Lobe epilepsy: a Preliminary EEG-TMS Study
Detection of Trees on Street-View Images Using a Convolutional Neural Network
A Comparative Study on Kernel-Based Probabilistic Neural Networks for Speaker Verification
Human Localisation of Band-Pass Filtered Noise
A New Multi-Resolution Approach to EEG Brain Modeling Using Local-Global Graphs and Stochastic Petri-Nets
Identification of Hidden Sources by Estimating Instantaneous Causality in High-Dimensional Biomedical Time Series
Computational Modeling of Transcranial Direct Current Stimulation in the child Brain: Implications for the Treatment of Refractory childhood focal epilepsy
Role of Chaos in Trial-and-error Problem Solving by an Artificial Neural Network
Closed-Loop Control of the thalamocortical Relay Neuron's Parkinsonian State Based on Slow Variable
Artificial Neuron-Glia Networks Learning Approach Based on Cooperative Coevolution
The Role of Thalamus Versus Cortex in Epilepsy: Evidence from Human Ictal Centromedian Recordings in Patients Assessed for Deep Brain Stimulation
Principal Dynamic Mode Analysis of the Hodgkin-Huxley Equations
Can deterministic penalty terms model the effects of synaptic weight noise on network fault-tolerance?
Early Seizure Detection Using Neuronal Potential Similarity: A Generalized Low-Complexity and Robust Measure
Neonatal Seizure Detection Using Deep Convolutional Neural Networks
The Receptor Mosaic Hypothesis of the Engram: Possible Relevance of Boolean Network Modelling
Classification of Handwritten Digits using a RAM Neural Net Architecture
Solving Linear Integer Programming Problems by a Novel Neural Model
Some IC Implementations of Artificial Neural Networks Using Synchronous Pulse-Density Modulation Technique
No-Reference Video Quality Measurement with Support Vector Regression
Spatio-temporal Modeling and Analysis of Fmri Data Using Narx Neural Network
A Sentiment Analysis Anomaly Detection System for Cyber Intelligence
A Cloud Detection Network Based on Adaptive Laplacian Coordination Enhanced Cross-Feature U-Net
Multi-Instance Dictionary Learning for Detecting Abnormal Events in Surveillance Videos
Perception of Odors by a Nonlinear Model of the Olfactory Bulb
DMP3: A Dynamic Multilayer Perceptron Construction Algorithm
An Automated Quiet Sleep Detection Approach in Preterm Infants as a Gateway to Assess Brain Maturation
A Continuous Learning Approach for Real-Time Network Intrusion Detection
Closed-Loop Control of Epilepsy Based on Reinforcement Learning
Spatially Selective Retinal Ganglion Cell Activation Using Low Invasive Extraocular Temporal Interference Stimulation
Generating Balanced Learning and Test Sets for Function Approximation Problems
Learning Feature Representations with a Cost-Relevant Sparse Autoencoder
Epoch-based Entropy for Early Screening of Alzheimer's Disease
Detection of the Intention of Direction Changes During Gait Through EEG Signals
A Compound-Eye-Inspired Multi-Scale Neural Architecture with Integrated Attention Mechanisms
Learning by Criterion Optimization on a Unitary Unimodular Matrix Group
A First Application of Independent Component Analysis to Extracting Structure from Stock Returns
A Prediction Model Based on Gated Nonlinear Spiking Neural Systems
CMOS Realization of a 2-Layer CNN Universal Machine Chip
Wavelet-based Estimation of Hemodynamic Response Function from Fmri Data
Developmental Approach for Behavior Learning Using Primitive Motion Skills
Ranking-Based Kernels in Applied Biomedical Diagnostics Using a Support Vector Machine
Editorial: A Wonderful Venue for Networking Neuroscience and Computational Intelligence
A Semi-Localized Elastic Net for Surface Reconstruction of Objects from Multislice Images
Brain Connectivity Variability Influences Anxiety Through the Behavioral Inhibition System
Detection of Alzheimer's Dementia by Using Signal Decomposition and Machine Learning Methods
Intelligent Multiagent Coordination Based on Reinforcement Hierarchical Neuro-fuzzy Models
Reduction of Delay in Detecting Initial Dips from Functional Near-Infrared Spectroscopy Signals Using Vector-Based Phase Analysis
Supervised Detection of Connector Lock Events with Optical Microphone Data
Stability Analysis of a Class of Noise Perturbed Neural Networks
A Network of Coupled Chaotic Maps for Adaptive Multi-Scale Image Segmentation
Optimal Sparse Approximation with Integrate and Fire Neurons
Practical Problems using Neural Networks
Spontaneous and Evoked Cortical Dynamics During Deep Anaesthesia
Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern
Cultural Differences in the Assessment of Synthetic Voices
A Spike-Based Model of Binaural Sound Localization
An Efficient Approach to the Travelling Salesman Problem Using Self-Organizing Maps
Integrating Image Quality in 2nu-SVM Biometric Match Score Fusion
Digital Neural Networks For High-Speed Divisions And Root Extractions
Human Gait Activity Recognition Using Multimodal Sensors
Speaker identification using Time-delay Hmes
Instance-Based Representation Using Multiple Kernel Learning for Predicting Conversion to Alzheimer Disease
Hybrid neural systems for pattern recognition in artificial noses
Rhythmic Network Modulation to Thalamocortical Couplings in Epilepsy
A Fast Neural Algorithm for Principal Component Analysis and Singular Value Decomposition
Directed Weighted EEG Connectogram Insights of One-to-One Causality for Identifying Developmental Dyslexia
Reorganization of Large-Scale Functional Networks During Low-Frequency Electrical Stimulation of the Cortical Surface
Announcement - The 2018 Hojjat Adeli Award for Outstanding Contributions in Neural Systems
Nerve Cells as Source of Time Scale and Processing Density in Brain Function
Book Review: "Artificial Neural Network for Speech and Vision", by Richard J. Mammone
Svm-Based Learning Control of Space Robots in Capturing Operation
Neural Networks and Linear Programming for the Satisfiability Problem
The Effect of Breath Pacing on Task Switching and Working Memory
A Hybrid Neural Learning Algorithm Using Evolutionary Learning and Derivative Free Local Search Method
Adaptive cerebellar Spiking Model Embedded in the Control Loop: Context Switching and Robustness against noise
Enhancing Motor Imagery Classification with Residual Graph Convolutional Networks and Multi-Feature Fusion
A Model with Dopamine Depletion in Basal Ganglia and Cerebellum Predicts Changes in Thalamocortical Beta Oscillations
Feature Extraction with GMDH-Type Neural Networks for EEG-Based Person Identification
Effects of Extremely Low-frequency magnetic Fields on the Response of a conductance-Based Neuron Model
Automated Diagnosis of Normal and Alcoholic EEG signals
Analytical Interpretation of Feed-Forward Nets outputs after Training
Fast Digital Simulation of Spiking Neural Networks and Neuromorphic Integration with Spikelab
Adaptive Machine Learning Technique for Periodicity Detection in Biological Sequences
Model-free functional mri analysis using topographic independent component analysis
Analog Circuits For Relaxation Networks
Enhancing the Yield of High-Density electrode Arrays through Automated electrode Selection
A New Neural Network Architecture with Associative Memory, Pruning and Order-Sensitive Learning
The Role of the Basal Ganglia in Exploration in a Neural Model Based on Reinforcement Learning
Neural Networks, Principal Components, and Subspaces
3D-Convolutional Neural Network with Generative Adversarial Network and Autoencoder for Robust Anomaly Detection in Video Surveillance
Identification of a Landmark in a Roentgenographic Cephalogram by Employing the Wavelet Neurons
The Design and Complexity of Exact Multilayered Perceptrons
Epileptic EEG Identification via LBP Operators on Wavelet Coefficients
Protein Subcellular Multi-Localization Prediction Using a Min-Max Modular Support Vector Machine
Uncovering Brain Differences in Preschoolers and Young Adolescents with Autism Spectrum Disorder Using Deep Learning
Novel Stability Criteria for Delayed Cellular Neural Networks
A Function Approximation Algorithm Using Sequential Composition