yusuke1997/dblp-id-title huggingface dataset:
Long Synfire Chains Emerge by Spike-Timing Dependent Plasticity Modulated by Population Activity
Discussion on Vuttipittayamongkol, P. and Elyan, E., Improved Overlap-Based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson's Disease
Editorial: From Pioneering Artificial Neural Networks to Deep Learning and Beyond
Multi-Expert and Hybrid Connectionist Approach for Pattern Recognition: Speaker Identification Task
The Evolution and Success of an Excellent Transdisciplinary Journal
Distributed Sensor Networks: A Cellular Nonlinear Network Perspective
A Measure of Relative Robustness for Feedforward Neural Networks Subject to Small Input Perturbations
A Dual Stimuli Approach Combined with Convolutional Neural Network to Improve Information Transfer Rate of Event-Related Potential-Based Brain-Computer Interface
Visibility Graph from Adaptive Optimal Kernel Time-Frequency Representation for Classification of Epileptiform EEG
Adaptive Filtering and Random Variables coefficient for Analyzing Functional Magnetic Resonance Imaging Data
Modular Spiking Neural Membrane Systems for Image Classification
Efficient Higher-Order Neural Networks for Classification and Function Approximation
Perceptual Generalization and Context in a Network Memory Inspired Long-Term Memory for Artificial Cognition
Combining Similarities and Dissimilarities in Supervised Learning
Rats Kept in Social Isolation for Twelve Months from Weaning: Performance in Maze Learning and Visual Discrimination Tests, and Brain Composition
Nev2lkit: a New Open Source Tool for Handling neuronal Event Files from Multi-electrode recordings
A Realistic Seizure Prediction Study Based on Multiclass SVM
Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer's with Visual Support
Which Brain Regions are Important for Seizure Dynamics in Epileptic Networks? Influence of Link Identification and EEG Recording Montage on Node Centralities
Seizure Detection Based on Lightweight Inverted Residual Attention Network
On the Probabilistic Optimization of Spiking Neural Networks
Measuring Natural Neural Processing with Artificial Neural Networks
Electroconvulsive Therapy Induces Cortical Morphological Alterations in Major Depressive Disorder Revealed with Surface-Based Morphometry Analysis
Distributed One-Class Support Vector Machine
A Swallowing Decoder Based on Deep Transfer Learning: AlexNet Classification of the Intracranial Electrocorticogram
Information Processing by a Perceptron
Weight Groupings in Second Order Training Methods for Recurrent Networks
One-Shot Neural Architecture Search by Dynamically Pruning Supernet in Hierarchical Order
On the Modeling of the Three Types of Non-spiking Neurons of the Caenorhabditis elegans
Partial Retraining: A New Approach to Input Relevance Determination
A Sequential End-to-End Neonatal Sleep Staging Model with Squeeze and Excitation Blocks and Sequential Multi-Scale Convolution Neural Networks
Fluctuation Scaling of Neuronal Firing and Bursting in Spontaneously Active Brain Circuits
Human Silhouette and Skeleton Video Synthesis Through Wi-Fi Signals
Faster P300 Classifier Training Using Spatiotemporal Beamforming
The Collective Brain
An Experimental Review on Deep Learning Architectures for Time Series Forecasting
The uniqueness Theorem for Complex-Valued Neural Networks with Threshold Parameters and the Redundancy of the Parameters
A Method based on Evolutionary Algorithms and Channel Attention Mechanism to Enhance Cycle Generative Adversarial Network Performance for Image Translation
A Multiple-Plasticity Spiking Neural Network Embedded in a Closed-Loop Control System to Model Cerebellar Pathologies
A Constructive Algorithm that Converges for Real-Valued Input Patterns
Editorial: Celebrating 30 Years of IJNS and the Next Industrial Revolution
Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data
Direct Causal Networks for the Study of Transcranial Magnetic Stimulation Effects on Focal Epileptiform Discharges
The Role of Field Coupling in Nano-Scale Cellular Nonlinear Networks
A Hierarchical Method for Finding Optimal Architecture and Weights Using Evolutionary Least Square Based Learning
Growing 3D-SOMs with 2D-Input Layer as a Classification Tool in a Motion Detection System
A neural network model with feature selection for korean speech act classification
Selecting Neural Networks for a Committee Decision
Real-Time Control of an Exoskeleton Hand Robot with Myoelectric Pattern Recognition
EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia
L P Approximation Capabilities of Sum-of-Product and Sigma-pi-Sigma Neural Networks
Dynamics of Collective Multi-stability in Models of Multi-Unit neuronal Systems
Analysis of Multidimensional Neural Activity Via CNN-UM
End-User Confidence in Artificial Intelligence-Based Predictions Applied to Biomedical Data
Single-Trial EEG Responses Classified Using Latency Features
A Neural Network Classifier In Experimental Particle Physics
Dynamic Output Feedback Stabilization for Nonlinear Systems Based on Standard Neural Network Models
Application of Higher Order cumulant Features for Cardiac Health Diagnosis using ECG signals
Some Notes on Competition Among Cell Assemblies
ACE16k: A 128x128 Focal Plane Analog Processor with Digital I/O
Unsupervised Neural Learning on Lie Group
Subthalamic Nucleus Deep Brain Stimulation Modulates Auditory Steady State Responses in Parkinson's Disease
Excitement and Synchronization of Small-World Neuronal Networks with Short-Term Synaptic Plasticity
Monitor-Based Spiking Recurrent Network for the Representation of Complex Dynamic Patterns
Intrinsic Curvature: a Marker of Millimeter-Scale Tangential cortico-Cortical Connectivity?
Fingerprint Matching Using Recurrent Autoassociative Memory
A Diagnostic Strategy via Multiresolution Synchrosqueezing Transform on Obsessive Compulsive Disorder
A Delayed Neural Network Method for Solving Convex Optimization Problems
Kakadu - A Low Power Analogue Neural Network Classifier
The Accurate Estimation of Meteorological Profiles Employing ANNs
Diagnosis of Autism Disorder Based on Deep Network Trained by Augmented EEG Signals
Designing Boosting Ensemble of Relational Fuzzy Systems
A Dynamic Window Recognition Algorithm for SSVEP-Based Brain-Computer Interfaces Using a Spatio-Temporal Equalizer
Second Order Neurons and Learning in Cohen-grossberg Networks
Revealing False Positive Features in Epileptic EEG Identification
Human Activity Recognition Based on Evolving Fuzzy Systems
On-Chip Learning With Analogue Vlsi Neural Networks
Oscillations and Synchronizations in Neural Networks: an Exploration of the Labeling Hypothesis
Effects of Dilation and Translation on a Perceptron-Type Learning Rule for Higher Order Hopfield Neural Networks
Aberrant Connectivity During Pilocarpine-Induced Status Epilepticus
Granger Causality between Multiple Interdependent Neurobiological Time Series: Blockwise versus Pairwise Methods
Editorial: The Classification of Thoughts and IJNS
Methods of training and constructing multilayer perceptrons with arbitrary pattern sets
Constructive Training Methods for feedforward Neural Networks with Binary weights
Dynamics of Coherence in Cortical Neural Activity: Experimental Observations and Functional Interpretations
Spiking Neural Membrane Systems with Adaptive Synaptic Time Delay
A Fast Method for Implicit Surface Reconstruction Based on Radial Basis Functions Network from 3D Scattered Points
A Training Data-Driven Canonical Correlation Analysis Algorithm for Designing Spatial Filters to Enhance Performance of SSVEP-Based BCIs
Spontaneous Signalling in Small Central Neurons: Mechanisms and Roles of Spike-Amplitude and Spike-Interval Fluctuations
Computationally-Efficient Algorithm for Real-Time Absence Seizure Detection in Wearable Electroencephalography
Striatum- and Cerebellum-Modulated Epileptic Networks Varying Across States with and without Interictal Epileptic Discharges
Singular Value Decomposition Learning on Double Stiefel Manifold
Machine Learning Algorithms and Statistical Approaches for Alzheimer's Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review
Text-independent speaker verification using minimal resource allocation networks
A Novel Efficient Learning Algorithm for Self-Generating Fuzzy Neural Network with Applications
The Effect of Low Magnesium Concentration on Ictal Discharges In A Non-Synaptic Model
Improving Botulinum Toxin Efficiency in Treating Post-Stroke Spasticity Using 3D Innervation Zone Imaging
Improvement of Image Classification Using Wavelet Coefficients with Structured-Based Neural Network
A Memory-Based Self-Generated Basis Function Neural Network
Learning Sequential Structure with the Real-Time Recurrent Learning Algorithm
Application of Competitive Hopfield Neural Network to Brain-Computer Interface Systems
Evolutionary Channel Pruning for Style-Based Generative Adversarial Networks
Incorporation of Inter-Subject Information to Improve the Accuracy of Subject-Specific P300 Classifiers
Ockham's Razor Modeling of the Matrisome Channels of the Basal Ganglia Thalamocortical Loops
A Flexible And Fault Tolerant Query-Reply System Based On A Bayesian Neural Network
Self-Supervised MRI Tissue Segmentation by Discriminative Clustering
Unsupervised fuzzy clustering using weighted incremental neural networks
Nonlinear Trading Models Through Sharpe Ratio Maximization
Large-Scale Image Retrieval with Deep Attentive Global Features
Application of Recurrence Quantification Analysis for the Automated Identification of Epileptic EEG Signals
Neural Network Capacity for Temporal Sequence Storage
Digital VLSI Algorithms and Architectures for Support Vector Machines
Phase Synchronization of neuronal noise in mouse hippocampal epileptiform Dynamics
Separating Inhibitory and Excitatory Responses of Epileptic Brain to Single-Pulse Electrical Stimulation
Detection of Movement Intention in EEG-Based Brain-Computer Interfaces Using Fourier-Based Synchrosqueezing Transform
Book Review: "High-Level Vision: Object Recognition and Visual Cognition"
Acoustic Transient Classification with a Template Correlation Processor
Learning with piece-wise linear networks
Improved Long-Term Temperature Prediction by Chaining of Neural Networks
Multilayer Nonnegative Matrix Factorization Using Projected Gradient Approaches
A Study of Track Finding with a Neural Network Algorithm
Multi-View Gender Classification Using Multi-Resolution Local Binary Patterns and Support Vector Machines
A Framework for Models of Biological Behaviour
The Convergence of Backpropagation Trained Neural Networks for Various Weight Update Frequencies
FPGA Implementation of a Pyramidal Weightless Neural Networks Learning System
A Performance Benchmarking Review of Transformers for Speaker-Independent Speech Emotion Recognition
Driver Emotion Recognition Using Multimodal Signals by Combining Conformer and Autoformer
Independent Component Decomposition of Human Somatosensory Evoked Potentials Recorded by Micro-Electrocorticography
Deep Learning Representation from Electroencephalography of Early-Stage Creutzfeldt-Jakob Disease and Features for Differentiation from Rapidly Progressive Dementia
On The Mean Field Theory of Random Heteropolymers
A Goal Programming Network for Mixed Integer Linear Programming: a CaseStudy for the Job-Shop Scheduling Problem
On Deriving Deterministic Learning Rules from Stochastic Systems
Motor Intention Decoding from the Upper Limb by Graph Convolutional Network Based on Functional Connectivity
Supporting the Detection of Early Alzheimer's Disease with a Four-Channel EEG Analysis
Discriminative Analysis of Symptom Severity and Ultra-High Risk of Schizophrenia Using Intrinsic Functional Connectivity
Impact of Information Compression on Intellectual Activities in the Brain
Self-Organising Mixture autoregressive Model for Non-Stationary Time Series Modelling
Presynaptic Learning and Memory with a Persistent Firing Neuron and a Habituating Synapse: a Model of Short Term Persistent Habituation
Localization of Epileptic Brain Responses to Single-Pulse Electrical Stimulation by Developing an Adaptive Iterative Linearly Constrained Minimum Variance Beamformer
A Hybrid Online Off-Policy Reinforcement Learning Agent Framework Supported by Transformers
Quantifying the Generation Process of Multi-Level Tactile Sensations via ERP Component Investigation
Classifying Jet Cascades with a Muon Using a Neural Network
An FPGA Hardware/Software Co-Design towards Evolvable Spiking Neural Networks for Robotics Application
An Asynchronous Spiking Neural Membrane System for Edge Detection
Regularization Network-based Gene Selection for Microarray Data Analysis
Accelerated Learning by Active Example Selection
Dominant Classifier-assisted Hybrid Evolutionary Multi-objective Neural Architecture Search
Multiple-in-Single-Out Object Detector Leveraging Spiking Neural Membrane Systems and Multiple Transformers
Unsupervised Markerless 3-DOF Motion Tracking in Real Time using a Single Low-Budget Camera
Unsupervised Learning Procedures for Neural Networks
Modelling and Prediction for Chaotic FIR Laser Attractor Using Rational Function Neural Network
Variable Projection Support Vector Machines and Some Applications Using Adaptive Hermite Expansions
Unsupervised Estimation of Mouse Sleep Scores and Dynamics Using a Graphical Model of Electrophysiological Measurements
Understanding Networks of Computing Chemical Droplet Neurons Based on Information Flow
On the Universal Clustering under a Broad Class of Loss Functions
Protein metal binding residue prediction based on neural networks
A Hybrid Cognitive System Using Production Rules to Synthesize Neocognitrons
Automated Quality Assessment of Medical Images in Echocardiography Using Neural Networks with Adaptive Ranking and Structure-Aware Learning
Discriminative Nonlinear Dimensionality Reduction for Improved Classification
Evolutionary Artificial Neural Networks
Combining EEG Features and Convolutional Autoencoder for Neonatal Seizure Detection
Evolutionary Optimization of Sequence Kernels for Detection of bacterial gene Starts
Sparse Spiking Neural-Like Membrane Systems on Graphics Processing Units
Efficient Automatic Selection and Combination of EEG Features in Least Squares Classifiers for Motor Imagery Brain-Computer Interfaces
Non-Canonical Microstate Becomes Salient in High Density EEG During Propofol-Induced Altered States of Consciousness
A Context-Dependent CNN-Based Framework for Multiple Sclerosis Segmentation in MRI
Improved Adaptive Splitting and Selection: the Hybrid Training Method of a Classifier Based on a Feature Space Partitioning
A Neural observer with Time-varying Learning rate: Analysis and Applications
Multi-View Graph Contrastive Learning via Adaptive Channel Optimization for Depression Detection in EEG Signals
Characterizing EEG Cortical Dynamics and Connectivity with Responses to Single Pulse Electrical Stimulation (SPES)
Trio Learning: A New Strategy for Building Hybrid Neural Trees
The S 2 -Ensemble Fusion Algorithm
The Task-Dependent Modular Covariance Networks Unveiled by Multiple-Way Fusion-Based Analysis
Analysis of the Complexity Measures in the EEG of Schizophrenia Patients
ERRATUM - Multi-Layer Feature Cascade Fusion Spiking Neural Network for Object Detection
A Study on Rule Extraction from Several Combined Neural Networks
Pruning of a large network by optimal brain damage and surgeon: an example from biological sequence analysis
Noise Controlled Synchronization in potassium Coupled Neural Models
Permutation Disalignment Index as an Indirect, EEG-Based, Measure of Brain Connectivity in MCI and AD Patients
Regularized Group Sparse Discriminant Analysis for P300-Based Brain-Computer Interface
Three-Dimensional Innervation Zone Imaging from Multi-Channel Surface EMG Recordings
An Artificial Neural Network Algorithm for Dynamic Programming
Control of Synchronization of Brain Dynamics leads to Control of Epileptic Seizures in Rodents
Automatic Determination Of Radial Basis Functions: An Immunity-Based Approach
Three Case Studies of the Gasnet Model in Discrete Domains
Predicting the Future: a Connectionist Approach
Epileptic Seizure Prediction Using Diffusion Distance and Bayesian Linear Discriminate Analysis on Intracranial EEG
Novel Consensus Approaches to the Reliable Ranking of Features for Seabed Imagery Classification
Wavelet-Like Receptive Fields Emerges by Non-Linear Minimization of Neuron Error
Epileptic Seizure Detection Based on Time-Frequency Images of EEG Signals Using Gaussian Mixture Model and Gray Level Co-Occurrence Matrix Features
A Basal Ganglia Computational Model to Explain the Paradoxical Sensorial Improvement in the Presence of Huntington's Disease
Detection of Intracranial Signatures of Interictal Epileptiform Discharges from Concurrent Scalp EEG
Sources of Neural Structure in Speech and Language Processing
Chaotic Behavior of A Neural Network with Dynamical Thresholds
Modeling and Optimization of a Pharmaceutical Formulation System Using Radial Basis Function Network
Nonnegative Tensor Factorization for Continuous EEG Classification
A Rule-Based Neural Controller For Inverted Pendulum System
Tuning Diversity in Bagged Ensembles
Quark Flavor Sensitivity of The Mammalian Cortex
Motion Artifact Detection for T1-Weighted Brain MR Images Using Convolutional Neural Networks
High-Density Liquid-State Machine Circuitry for Time-Series Forecasting
Recurrent Neural Networks are Universal approximators
The Impact of Repetitive Transcranial Magnetic Stimulation on Functional Connectivity in Major Depressive Disorder and Bipolar Disorder Evaluated by Directed Transfer Function and Indices Based on Graph Theory
Effects of Emotional Olfactory Stimuli on Modulating Angry Driving Based on an EEG Connectivity Study
EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia
New Learning Automata Based Algorithms for Adaptation of Backpropagation Algorithm Parameters
On the Classification Capability of a Dynamic Threshold Neural Network
Evidence of a Task-Independent Neural Signature in the Spectral Shape of the Electroencephalogram
Recent Advances in the MOBJ Algorithm for Training Artifical Neural Networks
Asymptotic Stability of Delay-Difference System of Hopfield Neural Networks via Matrix Inequalities and Application
A Neural Network Model for Credit Risk Evaluation
Radar Image Segmentation Using Self-Adapting Recurrent Networks
Principal Manifolds and Graphs in Practice: from Molecular Biology to Dynamical Systems
Asymptotic Properties of a Third Order Neural Network
Cell Assembly Signatures Defined by Short-Term Synaptic Plasticity in Cortical Networks
Both Cross-Patient and Patient-Specific Seizure Detection Based on Self-Organizing Fuzzy Logic
Neural Fuzzy Preference Integration Using Neural Preference Moore Machines
Response to the Discussion on S. Shirani, A. Valentin, G. Alarcon, F. Kazi and S. Sanei, Separating Inhibitory and Excitatory Responses of Epileptic Brain to Single-Pulse Electrical Stimulation, International Journal of Neural Systems, Vol. 33, No. 2 (2023) 2350008
A Novel Connectionist Framework for Computation of an Approximate Convex-hull of a Set of Planar Points, Circles and Ellipses
Equivalence between "feeling the pulse" on the human wrist and the pulse pressure wave at fingertip
Phase dynamics of complex-valued neural networks and its application to traffic signal control
Map Formation in Proprioceptive Cortex
A Recurrent Neural Network Using Tri-State Hidden Neurons to Orthogonalize the Memory Space
Polarized Signal Classification by Complex and quaternionic Multi-Layer Perceptrons
Excitatory-Inhibitory Networks with Dynamical Thresholds
Graph Spectral Analysis Using Electroencephalography in Alzheimer Disease and Frontotemporal Dementia Patients
Multi-Label Zero-Shot Learning Via Contrastive Label-Based Attention
The Super-Turing Computational Power of plastic Recurrent Neural Networks
Nonspecific Visuospatial Imagery as a Novel Mental Task for Online EEG-Based BCI Control
Seizure Detection of EEG Signals Based on Multi-Channel Long- and Short-Term Memory-Like Spiking Neural Model
Epileptic Seizure Prediction Using Deep Transformer Model
Multimodal Integration of Micro-Doppler Sonar and auditory signals for Behavior Classification with convolutional Networks
Prediction of Arterial "Burst" Activity and Transitions Between Chaotic Attractors with a Multilayer Perceptron Optimized by a New Stopping Criterion
Acoustic Space Learning for Sound-Source Separation and Localization on Binaural Manifolds
Robust Exponential Stability of Markovian Jumping Neural Networks with Time-Varying Delay
Beyond Thirty Years of IJNS
A Fast Fixed-Point Algorithm for Independent Component Analysis of Complex Valued Signals
Software Reliability Prediction Using Recurrent Neural Network With Bayesian Regularization
Discovering Significant Evolution Patterns from Satellite Image Time Series
A Backpropagation Algorithm for a Network of Neurons with Threshold Controlled Synapses
Symmetry Breaking and Training from Incomplete Data with Radial Basis Boltzmann Machines
Video Sequence Compression via Supervised Training on Cellular Neural Networks
Assessment of Statistically Significant Command-Following in Pediatric Patients with Disorders of Consciousness, Based on Visual, Auditory and Tactile Event-Related Potentials
Adolescent Depression Detection Model Based on Multimodal Data of Interview Audio and Text
Biophysical and Phenomenological Models of Multiple Spike Interactions in Spike-timing Dependent Plasticity
An Evaluation of Multiple Feed-Forward Networks on GPUs
Letter to the Editor: Response Classification in Psychological Testing Using a Neural Network
Eeg Source Localization: A Compartive Study of Classical and Neural Network Methods
Introduction by Guest Editors
A modified error backpropagation algorithm for complex-value neural networks
SC-CNNs for Chaotic Signal Applications in Secure Communication Systems
An Attention-Based Spiking Neural Network for Unsupervised Spike-Sorting
Application of Quantum-behaved Particle Swarm Optimization to Motor imagery EEG Classification
Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?
Dynamic Competitive Probabilistic Principal Components Analysis
On the Methodological Implications of Extracting Muscle Synergies from Human Locomotion
Data Compression and Regression through Local Principal Curves and Surfaces
A Parallel Convolutional Network Based on Spiking Neural Systems
A Knowledge-Based Deep Learning Architecture for Aspect-Based Sentiment Analysis
A Cluster Merging Method for Time Series microarray with production Values
Automated Seizure Onset Zone Approximation Based on Nonharmonic High-Frequency Oscillations in Human Interictal Intracranial EEGs
Robust Feedforward Processing in Synfire Chains
Channel Selection for Optimal EEG Measurement in Motor Imagery-Based Brain-Computer Interfaces
A TrAdaBoost Method for Detecting Multiple Subjects' N200 and P300 Potentials Based on Cross-Validation and an Adaptive Threshold
Combining EEG Microstates with fMRI Structural Features for Modeling Brain Activity
Book Review: "Artificial Neural Systems: Foundations, Paradigms, Applications, and Implementations", Patrick K. Simpson
Head-Centric Disparity and Epipolar Geometry Estimation from a Population of Binocular Energy Neurons
Higher Order Neural Network Group Models for Financial Simulation
Human chromosome classification using multilayer perceptron neural network
Self-Organizing Multi-Resolution Grid for Motion Planning and Control
Franksum: new feature selection method for protein function prediction
Stochastic Radial Basis Functions
Erratum: "the Role of the Basal Ganglia in Exploration in a Neural Model Based on Reinforcement Learning"
Topological Mappings of Video and Audio Data
Full-state tracking control of a mobile robot using neural networks
Strong-Weak Pruning for Brain Network Identification in Connectome-Wide Neuroimaging: Application to Amyotrophic Lateral Sclerosis Disease Stage Characterization
Sparse Spike Feature Learning to Recognize Traceable Interictal Epileptiform Spikes