yusuke1997/dblp-id-title huggingface dataset:
Global Exponential Stability of Fuzzy Interval Delayed Neural Networks with impulses on Time Scales
Performance Prediction for a Near-Infrared Spectroscopy-Brain-Computer Interface Using Resting-State Functional Connectivity of the Prefrontal Cortex
A Federated Learning Protocol for Spiking Neural Membrane Systems
Predicting Ganglion and Simple Cell Receptive Field Organizations
Probabilistic Interpretation of Feedforward Network Outputs, with Relationships to Statistical Prediction of Ordinal Quantities
Automated Diagnosis of epilepsy using CWT, HOS and Texture parameters
Linear Time Relational Prototype Based Learning
A New Parametric Feature Descriptor for the Classification of Epileptic and Control EEG Records in Pediatric Population
A Riemannian Distance Approach for Constructing Principal Curves
Neural Network Based Temporal Video Segmentation
On Computing the Fuzzifier in - FLVQ: A Data Driven Approach
An Idle-State Detection Algorithm for SSVEP-Based Brain-Computer Interfaces Using a Maximum Evoked Response Spatial Filter
Optimization Dynamics for Partitioned Neural Networks
Extracellular Potassium and Seizures: Excitation, Inhibition and the Role of Ih
A P300 Brain-Computer Interface Based on a Modification of the Mismatch Negativity Paradigm
Cost Component Analysis
A Gray-Box Neural Network-Based Model Identification and Fault estimation Scheme for nonlinear Dynamic Systems
Editorial: The Art of Editing a High Impact Scientific Journal - The Case of IJNS
Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixtures
A Programmer-Interpreter Neural Network Architecture for Prefrontal Cognitive Control
Hierarchical Bayesian Causality Network to Extract High-Level Semantic Information in Visual Cortex
Aberrant Prefrontal-Thalamic-Cerebellar Circuit in Schizophrenia and Depression: Evidence From a Possible Causal Connectivity
Global and Robust Stability of Interval Hopfield Neural Networks with Time-Varying Delays
Automated diagnosis of brain tumours astrocytomas using probabilistic neural network clustering and support vector machines
Robust Federated Learning for Heterogeneous Model and Data
Descriptor Selection Improvements for Quantitative Structure-Activity Relationships
Neural Network with Local Short Memory and Complex Updating
Controlling Synchronization in a Neuron-Level Population Model
Can Quantum Processes Control Synaptic Emission?
An Optimization Numerical Spiking Neural Membrane System with Adaptive Multi-Mutation Operators for Brain Tumor Segmentation
Detection of Driving fatigue by using Noncontact EMG and ECG signals Measurement System
High Order Statistics for Image Classification
Nonlinear Time Series Analysis by Neural Networks: a Case Study
"Teachers and Classes" with Neural Networks
Human-like dynamic programming neural networks for dynamic time warping speech recognition
Optimal Electrodermal Activity Segment for Enhanced Emotion Recognition Using Spectrogram-Based Feature Extraction and Machine Learning
An Attention-Aware Long Short-Term Memory-Like Spiking Neural Model for Sentiment Analysis
Self-Supervised Image Segmentation Using Meta-Learning and Multi-Backbone Feature Fusion
A Single-Switch BCI Based on Passive and imagined movements: toward Restoring Communication in Minimally Conscious patients
A high-order graph generating self-organizing structure
Detection of Nonlinear Interactions of EEG alpha Waves in the Brain by a New Coherence Measure and its Application to Epilepsy and Anti-Epileptic Drug Therapy
Equilibrium and attractivity Analysis for a class of Hetero-Associative Neural Memories
Evolution of the Motor Symptoms in Parkinson Disease under Auditory Stimulation
Oscillation-Driven Spike-Timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron Networks
Static Characteristics of a New Three-Dimensional Linear Homeomorphic Saccade Model
Text Compression Using Hybrids of BWT and GBAM
Response Properties Of A Population Of Neurons
Seizures Start without Common Signatures of Critical Transition
Neural network based dynamic controllers for industrial robots
Analysis of fMRI Signals from Working Memory Tasks and Resting-State of Brain: Neutrosophic-Entropy-Based Clustering Algorithm
Synchrony in Binary-Oscillator Networks with Local Couplings
Hardware implementation of a new artificial neuron
Modeling of glutamate-Induced Dynamical Patterns
Epileptic EEG Classification Based on Kernel Sparse Representation
Assessing Laryngeal Neuromotor Activity from Phonation
Application of Intrinsic Time-Scale Decomposition (ITD) to EEG signals for Automated seizure Prediction
Kernel Collaborative Representation-Based Automatic Seizure Detection in Intracranial EEG
Learning Synfire Chains: Turning Noise into Signal
Book Review: "Mind: Introduction to Cognitive Science", by Paul Thagard
A Neural Network Implementation for the Traffic Control Problem on Crossbar Switch Networks
Value at Risk Estimation Using Independent Component Analysis-generalized Autoregressive Conditional Heteroscedasticity (ica-garch) Models
A Biologically Plausible Acoustic Motion Detection Neural Network
Towards Tunable Consensus Clustering for Studying Functional Brain Connectivity During Affective Processing
Extracting the Principal Behavior of a Probabilistic Supervisor Through Neural Networks Ensemble
Fuzzy neural networks: between functional equivalence and applicability
Data-Driven Approach to the Analysis of Real-Time FMRI Neurofeedback Data: Disorder-Specific Brain Synchrony in PTSD
Evolving edited k-Nearest Neighbor Classifiers
Synchronized Chaos in Local Cortical Circuits
Using a Financial Training Criterion Rather than a Prediction Criterion
On the Midway to epilepsy: is cortical excitability Normal in patients with isolated seizures?
A New Neural Observer for an Anaerobic Bioreactor
Characterizing Fractal Genetic Variation in the Human Genome from the Hapmap Project
Continuous EEG Signal Analysis for Asynchronous BCI Application
Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks
On the Influence of Parameter theta - on Performance of Rbf Neural Networks Trained with the Dynamic Decay Adjustment Algorithm
Methods in Neuronal Modeling (2nd Edition), by C. Koch & I. Segev (eds.)
Classification of User Expertise Level by Neural Networks
Decoding Grating Orientation from microelectrode Array Recordings in Monkey Cortical Area V4
Efficient Embedded Decoding of Neural Network Language Models in a Machine Translation System
An Explainable Connectome Convolutional Transformer for Multimodal Autism Spectrum Disorder Classification
Design of general bidirectional associative memories with improved recall capability
Different Retinal Ganglion Cells have Different Functional Goals
A Study of Early Stopping and Model Selection Applied to the Papermaking Industry
Neural Network Discrimination of Heavy Flavor Jets: a Survey
A Higher order Bayesian Neural Network with Spiking Units
Editorial: Thirty Years of a Journal Fostering Interdisciplinary Research Excellence
A Bidirectional Feedforward Neural Network Architecture Using the Discretized Neural Memory Ordinary Differential Equation
Xcsc: a Novel Approach to Clustering with Extended Classifier System
Motion Planning with Complete Knowledge Using a Colored Som
Wavelet Transform, Reconstructed Phase Space, and Deep Learning Neural Networks for EEG-Based Schizophrenia Detection
Seizure abatement with Single DC Pulses: is Phase resetting at Play?
A Local Training and Pruning Approach for Neural Networks
A Layered Spiking Neural System for Classification Problems
Book Review: "How we Learn; How we Remember; Toward an Understanding of Brain and Neural Systems", by Leon N. Cooper
Pruning and Model-selecting Algorithms in the Rbf Frameworks Constructed by Support Vector Learning
Unsupervised Learning and Temporal Context to Recall Complex Robot Trajectories
An Evolutionary Attention-Based Network for Medical Image Classification
Predicting Intraoperative Burst Suppression Using Preoperative EEG and Patient Characteristics
Non-Linear Global Optimization via Parameterization and Inverse Function Approximation: an Artificial Neural Networks Approach
Sensor (Group Feature) Selection with Controlled Redundancy in a Connectionist Framework
Design of Competition-Based Neural Networks for Combinatorial Optimization
Decoding Color Visual Working Memory from EEG Signals Using Graph Convolutional Neural Networks
Stability of Dead Zone Bidirectional Associative Memory Neural Networks Involving Time Delays
One-Dimensional Convolutional Neural Networks Combined with Channel Selection Strategy for Seizure Prediction Using Long-Term Intracranial EEG
Deep Learning Methods for Multi-Channel EEG-Based Emotion Recognition
An Asic-Chip for Stereoscopic Depth Analysis in Video-Real-Time Based on Visual Cortical Cell Behavior
Recognition of Seed Varieties using a Temporal Organisation Map Analysis of Electrophoretic Images
Reactive Control of epileptiform discharges in Realistic Computational neuronal Models with Bistability
Complexity Of Error Hypersurfaces In Multilayer Perceptrons
Rule Extraction from Minimal Neural Networks for Credit Card Screening
Global Dynamics of a Class of Complex Valued Neural Networks
Neural Networks and Logical Reasoning Systems: A Translation Table
A Neural Network Model for the Simulation of Word Production Errors of Finnish Nouns
Learning activation Rules Rather than Connection weights
Role of Refractory Period in homoclinic Models of Neural Synchronization
3-D Object Classification: Application of a Constructive Algorithm
A Neural Network Method for Identification of Prokaryotic and Eukaryotic Signal Peptides and Prediction of their Cleavage Sites
Computer Simulation Study on Central Pattern Generator: from Biology to Engineering
Universal Distribution of Saliencies for Pruning in Layered Neural Networks
Electrophysiological responses from vagus nerve Stimulation in rats
Lyapunov Theory-Based Fusion Neural Networks for the Identification of Dynamic Nonlinear Systems
Multiplex Limited Penetrable Horizontal Visibility Graph from EEG Signals for Driver Fatigue Detection
Maintaining Synchronization by Decentralized Feedback Control in Time Delay Neural Networks with Parameter Uncertainties
Singular Spectrum Analysis and Adaptive Filtering Enhance the Functional connectivity Analysis of resting State fMRI Data
Online Learning of Objects in a Biologically Motivated Visual Architecture
Online Detection of the Modality of Complex-Valued Real World Signals
Discriminative Power of Handwriting and Drawing Features in Depression
Calibration of Neurotransmitter Release from Neural Cells for Therapeutic implants
Two-Stage Biometric Authentication Method Using Thought Activity Brain Waves
Interactive EEG Emotion Recognition with Incremental Gaussian Processes
VLSI Neural System Architecture for Finite Ring Recursive Reduction
Erratum: "Analysis of Absence seizure Generation using EEG Spatial-Temporal Regularity Measures"
Nonlinear gated experts for time series: discovering regimes and avoiding overfitting
Comparing Recalibration Strategies for Electroencephalography-Based Decoders of Movement Intention in Neurological Patients with Motor Disability
Book Review: Handbook of Pattern Recognition & Computer Vision, Edited by C. H. Chen, L. F. Pau and P. S. P. Wang
Driver Drowsiness EEG Detection Based on Tree Federated Learning and Interpretable Network
A Fully Complex-Valued Radial Basis Function Network and its Learning Algorithm
Lateral Inhibition Organizes Beta Attentional Modulation in the Primary Visual Cortex
Multi-Objective Genetic Algorithms to Find Most Relevant Volumes of the Brain Related to Alzheimer's Disease and Mild Cognitive Impairment
Classification Of Genetic Sequences With Backpropagation
The Forecast of the Postoperative Survival Time of Patients Suffered from Non-small Cell Lung Cancer Based on Pca and Extreme Learning Machine
Supervised Adaptive Hamming Net for Classification of Multiple-Valued Patterns
VPNET: Variable Projection Networks
Automated Detector of High Frequency Oscillations in Epilepsy Based on Maximum Distributed Peak Points
A New Method for Mapping Optimization Problems Onto Neural Networks
Impossibility of asymptotic Synchronization for Pulse-Coupled oscillators with Delayed excitatory Coupling
Multi-Layered Greedy Network-Growing Algorithm: Extension of Greedy Network-Growing Algorithm to Multi-Layered Networks
Automatic Tuning of a Retina Model for a Cortical Visual Neuroprosthesis Using a Multi-Objective Optimization Genetic Algorithm
Global-Local Feature Fusion Network Based on Nonlinear Spiking Neural Convolutional Model for MRI Brain Tumor Segmentation
A Holographic Model of Memory, Learning and Expression
An Efficient Approach to Define the Input Stimuli to Suppress Epileptic Seizures Described by the Epileptor Model
Parametric Description of EEG Profiles for Assessment of Sleep Architecture in Disorders of Consciousness
Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease
Binding and Segmentation via a Neural Mass Model Trained with Hebbian and Anti-Hebbian Mechanisms
A Minor Subspace Algorithm Based on Neural Stiefel Dynamics
A Preclinical Study of Laryngeal Motor-Evoked Potentials as a Marker Vagus Nerve Activation
sEMG-Based Inter-Session Hand Gesture Recognition via Domain Adaptation with Locality Preserving and Maximum Margin
Training Recurrent Nets of Hardware Realisable Sigma-PI Units
A Genetic Algorithm with Adaptive Mutations and Family Competition for Training Neural Networks
Brain Chaos and Computation
On The Limit Cycle Structure Of Threshold Boolean Networks Over Complete Graphs
Cooperative Coevolution of Neural Representations
An EEG-Based Fatigue Detection and Mitigation System
Neural Networks in Analog Hardware - Design and Implementation Issues
A Machine Learning Approach to Characterize the Modulation of the Hippocampal Rhythms Via Optogenetic Stimulation of the Medial Septum
Adaptive Dynamic Surface Control of Epileptor Model Based on Nonlinear Luenberger State Observer
Global Effects of Fluctuations in Neural Information Processing
A Survey of Partially Connected Neural Networks
Personalized EEG Feature Selection for Low-Complexity Seizure Monitoring
Neurons with Multiplicative Interactions of Nonlinear Synapses
Book Review: Fluids Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought
Document Image binarisation Using a Supervised Neural Network
Reinforcement Learning May Demystify the Limited Human Motor Learning Efficacy Due to Visual-Proprioceptive Mismatch
Parsimonious Minimal Learning Machine via Multiresponse Sparse Regression
Weight Configurations Of Trained Perceptrons
Reverse Engineering a Social Agent-Based Hidden Markov Model - VISAGE
Book Review: "Introduction to the Theory of Neural Computation", John Hertz, Anders Krogh, and Richard G. Palmer
Drug Polyconsumption is associated with increased Synchronization of Brain Electrical-Activity at REST and in a Counting Task
Neural Network for Control of Rearrangeable Clos Networks
Unsupervised Learning and Recall of Temporal Sequences: An Application to Robotics
Human Learning Characteristics in the Tracking Tasks of Iterative Nature
State and Parameter Estimation for Canonic Models of Neural oscillators
An SOM-Based Algorithm for Optimization with Dynamic Weight Updating
Symmetry Axis Based Object Recognition under Translation, Rotation and Scaling
A Modified Transformer Network for Seizure Detection Using EEG Signals
Pseudo-Relaxation Learning Algorithm for Complex-Valued Associative Memory
Exploring the Brain Responses to Driving Fatigue Through Simultaneous EEG and fNIRS Measurements
Quaternion Spiking and Quaternion Quantum Neural Networks: Theory and Applications
Multicompartmental Modeling of Neural Ciricuits in the Olfactory Bulb
Learning Eye Vergence Control from a Distributed Disparity Representation
Generalization Error and Dynamical Effects in a Two-Dimensional Patches Detector
Radical Pruning: A Method to Construct Skeleton Radial Basis Function Networks
Estimating the Number of Clusters in Multivariate Data by Self-Organizing Maps
A Fast Method to Search for Protein Homologies Using Neural Networks
Automated Nonlinear System Modeling with Multiple Fuzzy Neural Networks and Kernel Smoothing
Convergence Analysis of Cascade Error Projection - An Efficient Learning Algorithm for Hardware Implementation
Emotion Recognition with Eigen Features of Frequency Band Activities Embedded in Induced Brain Oscillations Mediated by Affective Pictures
Interaction of neuronal populations with delay: effect of frequency mismatch and feedback gain
Dynamic Temporospatial Patterns of Functional Connectivity and Alterations in Idiopathic Generalized Epilepsy
A Space-Time Delay Neural Network for Motion Recognition and its Application to Lipreading
Automating Parallel Implementation of Neural Learning Algorithms
Multiscale Entropy Analysis for Recognition of Visually Elicited Negative Stress From EEG Recordings
The 2024 Hojjat Adeli Award for Outstanding Contributions in Neural Systems
Mixture Models for Detecting Differentially Expressed Genes in Microarrays
Backpropagation Learning for Multilayer Feed-Forward Neural Networks Using the Conjugate Gradient Method
Prediction of Speech Onset by Micro-Electrocorticography of the Human Brain
Modeling and Production of Robot Trajectories Using the Temporal Parametrized Self Organizing Maps
Color Image Segmentation with Support Vector Machines: Applications to Road Signs Detection
Autoassociative memory design using interconnected generalized brain-state-in-a-box neural networks
The Dynamic Brain Networks of Motor Imagery: Time-Varying Causality Analysis of Scalp EEG
Automated MRI-Based Deep Learning Model for Detection of Alzheimer's Disease Process
Antenna impedance matching with neural networks
Multimodal Covariance Network Reflects Individual Cognitive Flexibility
Constructing a Query-Able Radial Basis Function Artificial Neural Network
Book Review: Neural Networks, a Comprehensive Foundation, by Simon Haykin
IJNS: 30 Years of Breakthrough Multidisciplinarity, Rigor, and Excellence in the Knowledge Limits
FPNA: Interaction Between FPGA and Neural Computation
An Improvement of Extreme Learning Machine for Compact Single-Hidden-Layer Feedforward Neural Networks
Kohonen's Feature Maps for Fly Ash Categorization
Hybrid Attention Network for Epileptic EEG Classification
Variable Selection in Nonlinear Modeling Based on RBF Networks and Evolutionary Computation
An STDP Training Algorithm for a Spiking Neural Network with Dynamic Threshold Neurons
LieToMe: An Ensemble Approach for Deception Detection from Facial Cues
Multi-Objective Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification
Influence of Cholecystokinin-8 on Compound Nerve Action Potentials from Ventral Gastric Vagus in Rats
Online Epileptic Seizure Prediction Using Wavelet-Based Bi-Phase Correlation of Electrical Signals Tomography
A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms
A Multi-Layer Neural-Mass Model for Learning Sequences using Theta/Gamma oscillations
Incorporating Uncertainty in Data Labeling into Automatic Detection of Interictal Epileptiform Discharges from Concurrent Scalp-EEG via Multi-way Analysis
Characteristic of Mayer Waves in Electrophysiological, Hemodynamic and Vascular Signals
Extraction of Neural Control Commands using Myoelectric Pattern Recognition: a Novel Application in adults with cerebral Palsy
A Deep Fourier Neural Network for Seizure Prediction Using Convolutional Neural Network and Ratios of Spectral Power
Kuramoto Model-Based Analysis Reveals Oxytocin Effects on Brain Network Dynamics
Beamforming of ultra-wideband pulses by a complex-valued spatio-temporal multilayer neural network
Parkinsonism Differently Affects the Single Neuronal Activity in the Primary and Supplementary Motor Areas in Monkeys: An Investigation in Linear and Nonlinear Domains
Multi-Domain Feature Extraction for Small Event-Related potentials through Nonnegative Multi-Way Array Decomposition from Low Dense Array EEG
A Shared Hippocampal Network in Retrieving Science-related Semantic Memories
A Three-Layer Adaptive Network for Pattern Density Estimation and Classification
Fractal Characterization Of BPN Weights Evolution
Improved Neurophysiological Process Imaging Through Optimization of Kalman Filter Initial Conditions
Neural Memory State Space Models for Medical Image Segmentation
Automated Interictal Epileptiform Discharge Detection from Scalp EEG Using Scalable Time-series Classification Approaches
A Cross-Correlated Delay Shift Supervised Learning Method for Spiking Neurons with Application to Interictal Spike Detection in Epilepsy
Ensembles of Neural Networks Based on the Alteration of Input Feature Values
Exploiting Textual Information for Fake News Detection
Proteins and Random Heteropolymers: an Overview
Training Recurrent Neural Networks - The Minimal Trajectory Algorithm
STRAPS: A Fully Data-Driven Spatio-Temporally Regularized Algorithm for M/EEG Patch Source Imaging
Single-Trial Motor Imagery Classification using Asymmetry Ratio, phase Relation, Wavelet-Based Fractal, and their Selected Combination
Seizure Forecasting and the Preictal State in Canine Epilepsy
Stability of Neural Field
Neuro-Inspired Reinforcement Learning to Improve Trajectory Prediction in Reward-Guided Behavior
A Unified Hypergraph-Mamba Framework for Adaptive Electroencephalogram Modeling in Multi-view Seizure Prediction
Editorial: "Artificial Neural Networks in Brazil: An Introduction to the Special Issue of IJNS"
Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning
A Neural-Visualization IDS for Honeynet Data
Benefits of Multi-Domain Feature of mismatch Negativity Extracted by Non-Negative Tensor Factorization from EEG Collected by Low-Density Array
Growing of a Fuzzy Recurrent Artificial Neural Network (Frann) for Pattern Classification
Constructing a Fuzzy Rule-Based System Using the ILFN Network and Genetic Algorithm
An All-Optical Hopfield Network: Theory and Experiment
Bimodal Feature Analysis with Deep Learning for Autism Spectrum Disorder Detection
Measuring the Directionality of Coupling: Phase versus State Space Dynamics and Application to EEG Time Series
Attention-Based Convolutional Recurrent Deep Neural Networks for the Prediction of Response to Repetitive Transcranial Magnetic Stimulation for Major Depressive Disorder
A Fast And Convergent Stochastic Mlp Learning Algorithm
Dendrite P Systems Toolbox: Representation, Algorithms and Simulators
A Neural Network Approach to Approximating Map in Belief Networks
Enhancing Prediction of Forelimb Movement Trajectory through a Calibrating-Feedback Paradigm Incorporating RAT Primary Motor and Agranular Cortical Ensemble Activity in the Goal-Directed Reaching Task
Post-Movement Beta Rebound for Longitudinal Monitoring of Motor Rehabilitation in Stroke Patients Using an Exoskeleton-Assisted Paradigm
Neural Cost Functions and Search Strategies for the Generation of Block Designs: An Experimental Evaluation
Evaluation and Application of a Hybrid Brain Computer Interface for Real Wheelchair Parallel Control with Multi-Degree of Freedom
Consensus-Based 3D View Generation from Noisy Images
A Connectionist Approach to Vertex Covering Problems
Complex-Valued Minimal Resource Allocation Network for Nonlinear Signal Processing
Spatiotemporal Oscillatory Patterns During Working Memory Maintenance in Mild Cognitive Impairment and Subjective Cognitive Decline
Finite Dimensional Structure of the GPI discharge in Patients with Parkinson's Disease
Quantifying Different Tactile Sensations Evoked by Cutaneous Electrical Stimulation Using Electroencephalography Features
Tiled Sparse Coding in Eigenspaces for Image Classification
Short-Term Prediction of Chaotic Time Series by Using RBF Network with Regression Weights
Adding Learned Expectation Into the Learning Procedure of Self-Organizing Maps
Adaptive Control of Parkinson's State Based on a Nonlinear Computational Model with Unknown Parameters
Learning to cooperate in solving the traveling salesman problem
Applying the SOM Model to Text Classification According to Register and Stylistic Content