yusuke1997/dblp-id-title huggingface dataset:
Attractive Periodic Sets in Discrete-Time Recurrent Networks (with Emphasis on Fixed-Point Stability and Bifurcations in Two-Neuron Networks)
The Neuronal Replicator Hypothesis
Unsupervised Learning of Generative and Discriminative Weights Encoding Elementary Image Components in a Predictive Coding Model of Cortical Function
SEEMORE: Combining Color, Shape and Texture Histogramming in a Neurally-Inspired Approach to Visual Object Recognition
Coexistence of Stochastic Oscillations and Self-Organized Criticality in a Neuronal Network: Sandpile Model Application
Visual Development and the Acquisition of Motion Velocity Sensitivities
Is Learning in Biological Neural Networks Based on Stochastic Gradient Descent? An Analysis Using Stochastic Processes
Binocular Receptive Field Models, Disparity Tuning, and Characteristic Disparity
Changing Roles for Temporal Representation of Odorant During the Oscillatory Response of the Olfactory Bulb
On a Magnitude Preserving Iterative MAXnet Algorithm
Classification From Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization
A Categorical Framework for Quantifying Emergent Effects in Network Topology
Adaptive Neural Coding Dependent on the Time-Varying Statistics of the Somatic Input Current
A Learning Framework for Winner-Take-All Networks with Stochastic Synapses
Learning the Structural Vocabulary of a Network
Hybrid Learning of Mapping and its Jacobian in Multilayer Neural Network
Divergence Function, Duality, and Convex Analysis
Latent Attractors: A Model for Context-Dependent Place Representations in the Hippocampus
Dynamical Analysis of Continuous Higher-Order Hopfield Networks for Combinatorial Optimization
Density Estimation by Mixture Models with Smoothing Priors
Factoring Networks by a Statistical Method
Derivation of Linear Hebbian Equations from a Nonlinear Hebbian Model of Synaptic Plasticity
A Fixed Size Storage O ( n 3 ) Time Complexity Learning Algorithm for Fully Recurrent Continually Running Networks
Local Linear Approximation of the Jacobian Matrix Better Captures Phase Resetting of Neural Limit Cycle Oscillators
Adaptive Structure Concept Factorization for Multiview Clustering
Synchronization and Clustering in Complex Quadratic Networks
Improved Multidimensional Scaling Analysis Using Neural Networks with Distance-Error Backpropagation
Sequential Optimal Design of Neurophysiology Experiments
Feature Scaling for Kernel Fisher Discriminant Analysis Using Leave-One-Out Cross Validation
A Low Sensitivity Recurrent Neural Network
Relating the Slope of the Activation Function and the Learning Rate Within a Recurrent Neural Network
Blind Source Separation and Deconvolution: the Dynamic Component Analysis Algorithm
Computational Advantages of Reverberating Loops for Sensorimotor Learning
Orthogonal Series Density Estimation and the Kernel Eigenvalue Problem
A Proof of Convergence of the Concave-Convex Procedure Using Zangwill's Theory
Chaotic Exploration and Learning of Locomotion Behaviors
Synaptic Shot Noise and Conductance Fluctuations Affect the Membrane Voltage with Equal Significance
Semisupervised Ordinal Regression Based on Empirical Risk Minimization
Toward an Open-Ended BCI: A User-Centered Coadaptive Design
Low-Dimensional Maps Encoding Dynamics in Entorhinal Cortex and Hippocampus
A Block Successive Lower-Bound Maximization Algorithm for the Maximum Pseudo-Likelihood Estimation of Fully Visible Boltzmann Machines
Information Loss in an Optimal Maximum Likelihood Decoding
A Tree-Structured Algorithm for Reducing Computation in Networks with Separable Basis Functions
Understanding Emergent Dynamics: Using a Collective Activity Coordinate of a Neural Network to Recognize Time-Varying Patterns
Learning Internal Representations of 3D Transformations From 2D Projected Inputs
Center-Crossing Recurrent Neural Networks for the Evolution of Rhythmic Behavior
Timescale-Invariant Pattern Recognition by Feedforward Inhibition and Parallel Signal Processing
Stable Adaptive Control of Robot Manipulators Using "Neural" Networks
Neural Circuits for Dynamics-Based Segmentation of Time Series
Multidimensional Encoding Strategy of Spiking Neurons
Optimal Reduced-Set Vectors for Support Vector Machines with a Quadratic Kernel
Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures
On Functions Computed on Trees
Estimating the Posterior Probabilities Using the K-Nearest Neighbor Rule
A Simple and Stable Numerical Solution for the Population Density Equation
Pattern Discrimination Using Feedforward Networks: A Benchmark Study of Scaling Behavior
Stochastic Organization of Output Codes in Multiclass Learning Problems
Analyzing Neural Responses to Natural Signals: Maximally Informative Dimensions
Different Predictions by the Minimum Variance and Minimum Torque-Change Models on the Skewness of Movement Velocity Profiles
Permitted Sets and Convex Coding in Nonthreshold Linear Networks
A Neural Framework for Organization and Flexible Utilization of Episodic Memory in Cumulatively Learning Baby Humanoids
Guaranteed Learning Algorithm for Network with Units Having Periodic Threshold Output Function
Noise-Robust Speech Recognition Through Auditory Feature Detection and Spike Sequence Decoding
Formulations of Support Vector Machines: A Note from an Optimization Point of View
Effects of Noisy Drive on Rhythms in Networks of Excitatory and Inhibitory Neurons
Toward Nonlinear Local Reinforcement Learning Rules Through Neuroevolution
Mutual Information, Fisher Information, and Efficient Coding
Analysis of Cyclic Dynamics for Networks of Linear Threshold Neurons
Using Global t-SNE to Preserve Intercluster Data Structure
A nonlinear Hebbian network that learns to detect disparity in random- dot stereograms
Suprathreshold Intrinsic Dynamics of the Human Visual System
Segmentation by a Network of Oscillators with Stored Memories
Changes of Firing Rate Induced by Changes of Phase Response Curve in Bifurcation Transitions
Extracting Low-Dimensional Latent Structure from Time Series in the Presence of Delays
Reply to Carreira-Perpiñán and Goodhill
Spontaneous Dynamics of Asymmetric Random Recurrent Spiking Neural Networks
Optimal Sampling of Parametric Families: Implications for Machine Learning
Bayesian Computation in Recurrent Neural Circuits
Dictionary Learning Algorithms for Sparse Representation
A Rate and History-Preserving Resampling Algorithm for Neural Spike Trains
A Note on Stone's Conjecture of Blind Signal Separation
TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play
Toward Network Intelligence
Forgetting Memories and Their Attractiveness
The Impact of Parallel Fiber Background Activity on the Cable Properties of Cerebellar Purkinje Cells
Resolution-Based Complexity Control for Gaussian Mixture Models
Advantages of Persistent Cohomology in Estimating Animal Location From Grid Cell Population Activity
Parallel Distributed Approaches to Combinatorial Optimization: Benchmark Studies on Traveling Salesman Problem
Kernel-Based Topographic Map Formation by Local Density Modeling
A Principled Dimension-Reduction Method for the Population Density Approach to Modeling Networks of Neurons with Synaptic Dynamics
Regularization Techniques and Suboptimal Solutions to Optimization Problems in Learning from Data
Cortical Spike Synchrony as a Measure of Input Familiarity
Homeostatic Plasticity for Single Node Delay-Coupled Reservoir Computing
Multistability and Perceptual Inference
Asymmetric Parallel Boltzmann Machines are Belief Networks
Iterative Retrieval and Block Coding in Autoassociative and Heteroassociative Memory
Interaction between Transparency and Structure from Motion
Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed Data
Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins
Replicating Receptive Fields of Simple and Complex Cells in Primary Visual Cortex in a Neuronal Network Model with Temporal and Population Sparseness and Reliability
U -Processes and Preference Learning
Reinforcement Learning State Estimator
Unifying Blind Separation and Clustering for Resting-State EEG/MEG Functional Connectivity Analysis
An Empirical Model for Reliable Spiking Activity
Movement Generation with Circuits of Spiking Neurons
Reduction of Trial-to-Trial Perceptual Variability by Intracortical Tonic Inhibition
Boosting Neural Networks
State-Space Analysis of Granger-Geweke Causality Measures with Application to fMRI
The Lack of A Priori Distinctions Between Learning Algorithms
A Computational Account of the Role of Cochlear Nucleus and Inferior Colliculus in Stabilizing Auditory Nerve Firing for Auditory Category Learning
The Effects of Adding Noise During Backpropagation Training on a Generalization Performance
Predicting Single-Neuron Activity in Locally Connected Networks
Signal-Tuned Gabor Functions as Models for Stimulus-Dependent Cortical Receptive Fields
A Bi-Prototype Theory of Facial Attractiveness
Empirical Risk Minimization versus Maximum-Likelihood Estimation: A Case Study
Feature Normalization Prevents Collapse of Noncontrastive Learning Dynamics
Dimension Reduction of Biological Neuron Models by Artificial Neural Networks
Randomly Connected Networks Have Short Temporal Memory
Learning Factorial Codes by Predictability Minimization
Changes in GABA B Modulation During a Theta Cycle May Be Analogous to the Fall of Temperature During Annealing
Dynamics of Discrete Time, Continuous State Hopfield Networks
A Real-Time Health 4.0 Framework with Novel Feature Extraction and Classification for Brain-Controlled IoT-Enabled Environments
Surrogate Population Models for Large-Scale Neural Simulations
Adaptive Relevance Matrices in Learning Vector Quantization
One Step Back, Two Steps Forward: Interference and Learning in Recurrent Neural Networks
Dimension Selection for Feature Selection and Dimension Reduction with Principal and Independent Component Analysis
The EM Algorithm and Information Geometry in Neural Network Learning
Geometry-Invariant Texture Retrieval Using a Dual-Output Pulse-Coupled Neural Network
Small Depth Polynomial Size Neural Networks
Adaptive Multiclass Classification for Brain Computer Interfaces
The Space-Clamped Hodgkin-Huxley System with Random Synaptic Input: Inhibition of Spiking by Weak Noise and Analysis with Moment Equations
Filtering with State-Observation Examples via Kernel Monte Carlo Filter
Efficient Learning and Feature Selection in High-Dimensional Regression
Constrained Subspace ICA Based on Mutual Information Optimization Directly
Performance Evaluation of Matrix Factorization for fMRI Data
Detecting Scene-Plausible Perceptible Backdoors in Trained DNNs Without Access to the Training Set
Bayesian Analysis of Nonlinear Autoregression Models Based on Neural Networks
Implementing a Bayes Filter in a Neural Circuit: The Case of Unknown Stimulus Dynamics
Investigation of Possible Neural Architectures Underlying Information-Geometric Measures
Backpropagation with Homotopy
A Detailed and Fast Model of Extracellular Recordings
Linking Neuromodulated Spike-Timing Dependent Plasticity with the Free-Energy Principle
Data-Reusing Recurrent Neural Adaptive Filters
A Probabilistic Resource Allocating Network for Novelty Detection
Insect-Inspired Estimation of Egomotion
Maximum Likelihood Set for Estimating a Probability Mass Function
Latent Space Bayesian Optimization With Latent Data Augmentation for Enhanced Exploration
A Calcium-Based Simple Model of Multiple Spike Interactions in Spike-Timing-Dependent Plasticity
Stochastic Variance Models in Discrete Time with Feedforward Neural Networks
A Novel Reconstruction Framework for Time-Encoded Signals with Integrate-and-Fire Neurons
A Population Study of Integrate-and-Fire-or-Burst Neurons
Shattering All Sets of k Points in 'General Position' Requires (k - 1)/2 Parameters
Inhibition and Excitation Shape Activity Selection: Effect of Oscillations in a Decision-Making Circuit
Coding Accuracy Is Not Fully Determined by the Neuronal Model
Autonomous Design of Artificial Neural Networks by Neurex
Improving the Convergence of the Backpropagation Algorithm Using Learning Rate Adaptation Methods
Efficient Calculation of the Gauss-Newton Approximation of the Hessian Matrix in Neural Networks
Inferring Mechanisms of Auditory Attentional Modulation with Deep Neural Networks
The Computational Structure of Spike Trains
Note on "Comparison of Model Selection for Regression" by Vladimir Cherkassky and Yunqian Ma
Unicycling Helps Your French: Spontaneous Recovery of Associations by Learning Unrelated Tasks
Modeling and Prediction of Human Behavior
Sequential Tests for Large-Scale Learning
Linear Geometric ICA: Fundamentals and Algorithms
A Systematic Method for Configuring VLSI Networks of Spiking Neurons
An Algorithm for Building Regularized Piecewise Linear Discrimination Surfaces: The Perceptron Membrane
A Survey on Artificial Neural Networks in Human - Robot Interaction
Local Learning Algorithms
Retrieval Dynamics in Oscillator Neural Networks
Optimal Decoding of Dynamic Stimuli by Heterogeneous Populations of Spiking Neurons: A Closed-Form Approximation
Is First-Order Vector Autoregressive Model Optimal for fMRI Data?
A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks
On Langevin Updating in Multilayer Perceptrons
Bayesian Model Comparison in Nonlinear BOLD fMRI Hemodynamics
CA3 Circuit Model Compressing Sequential Information in Theta Oscillation and Replay
Linking Linear Threshold Units with Quadratic Models of Motion Perception
The Crystallizing Substochastic Sequential Machine Extractor: CrySSMEx
Improving the Antinoise Ability of DNNs via a Bio-Inspired Noise Adaptive Activation Function Rand Softplus
A Bound on Modeling Error in Observable Operator Models and an Associated Learning Algorithm
A Preference for Phase-Based Disparity in a Neuromorphic Implementation of the Binocular Energy Model
Boosting and Other Ensemble Methods
A Sequential Learning Scheme for Function Approximation Using Minimal Radial Basis Function Neural Networks
Correction To Proof That Recurrent Neural Networks Can Robustly Recognize Only Regular Languages
Dynamical Stability Conditions for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions
Extraction of Synaptic Input Properties in Vivo
Pattern Storage, Bifurcations, and Groupwise Correlation Structure of an Exactly Solvable Asymmetric Neural Network Model
3D Axon Structure Extraction and Analysis in Confocal Fluorescence Microscopy Images
Towards a Theory of Early Visual Processing
Measuring Stimulus Information Transfer Between Neural Populations Through the Communication Subspace
Delay Differential Analysis of Time Series
Rotor Neurons: Basic Formalism and Dynamics
UAdam: Unified Adam-Type Algorithmic Framework for Nonconvex Optimization
Noise-Robust Modes of the Retinal Population Code Have the Geometry of "Ridges" and Correspond to Neuronal Communities
A Generalized Time Rescaling Theorem for Temporal Point Processes
Classification of Autism Spectrum Disorder From EEG-Based Functional Brain Connectivity Analysis
Kalman Filter Control Embedded into the Reinforcement Learning Framework
Model Predictive Control on the Neural Manifold
Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses
On the Consistency of Bayesian Function Approximation Using Step Functions
Analysis of Spike Statistics in Neuronal Systems with Continuous Attractors or Multiple, Discrete Attractor States
Training Pi-Sigma Network by Online Gradient Algorithm with Penalty for Small Weight Update
Adaptive Filter Model of Cerebellum for Biological Muscle Control With Spike Train Inputs
Nonparametric Estimation of Küllback-Leibler Divergence
A New Supervised Learning Algorithm for Spiking Neurons
Bayesian Spiking Neurons I: Inference
Neuronal-Based Synaptic Compensation: A Computational Study in Alzheimer's Disease
Nonlinear Population Codes
Effect of Top-Down Connections in Hierarchical Sparse Coding
A Very Simple Spiking Neuron Model That Allows for Modeling of Large, Complex Systems
A Framework for Simulating and Estimating the State and Functional Topology of Complex Dynamic Geometric Networks
Robust Observer-Based Tracking Control of Hodgkin-Huxley Neuron Systems Under Environmental Disturbances
A Self-Organized Artificial Neural Network Architecture for Sensory Integration with Applications to Letter-Phoneme Integration
Calculating the Mutual Information between Two Spike Trains
Encoding of Numerosity With Robustness to Object and Scene Identity in Biologically Inspired Object Recognition Networks
Generation of Direction Selectivity by Isotropic Intracortical Connections
How to Compress Sequential Memory Patterns into Periodic Oscillations: General Reduction Rules
Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis
Generalization Analysis of Fredholm Kernel Regularized Classifiers
Learning Eigenfunctions Links Spectral Embedding and Kernel PCA
Direction Matters: On Influence-Preserving Graph Summarization and Max-Cut Principle for Directed Graphs
The Effect of Signaling Latencies and Node Refractory States on the Dynamics of Networks
Learning and Extracting Initial Mealy Automata with a Modular Neural Network Model
The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks
Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis
Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal
Tractable Multivariate Binary Density Estimation and the Restricted Boltzmann Forest
Optimization of Decision Making in Multilayer Networks: The Role of Locus Coeruleus
Predicting the Future: Advantages of Semilocal Units
Gamma Oscillation Model Predicts Intensity Coding by Phase Rather Than Frequency
A Unifying Objective Function for Topographic Mappings
A Study on the Optimal Double Parameters for Steepest Descent with Momentum
A Regularized Correntropy Framework for Robust Pattern Recognition
Modeling Synaptic Plasticity in Conjunction with the Timing of Pre- and Postsynaptic Action Potentials
Computing Stereo Disparity and Motion with Known Binocular Cell Properties
Progressive Interpretation Synthesis: Interpreting Task Solving by Quantifying Previously Used and Unused Information
Computation of the Phase Response Curve: A Direct Numerical Approach
Approximation Capability of Layered Neural Networks with Sigmoid Units on Two Layers
Decoding a Temporal Population Code
Information Geometry for Regularized Optimal Transport and Barycenters of Patterns
Variable Selection for Nonparametric Learning with Power Series Kernels
Alteration of Ambient GABA by Phasic and Tonic Neuronal Activation
A Normative Account of Confirmation Bias During Reinforcement Learning
A Neurodynamic Model of Saliency Prediction in V1
Capturing the Dynamical Repertoire of Single Neurons with Generalized Linear Models
An Optoelectronic Architecture for Multilayer Learning in a Single Photorefractive Crystal
Elastic Net Model of Ocular Dominance: Overall Stripe Pattern and Monocular Deprivation
Formulation and Emulation of Quantum-Inspired Dynamical Systems With Classical Analog Circuits
Learning Invariance from Transformation Sequences
Dense Associative Memory Is Robust to Adversarial Inputs
Transform Invariant Recognition by Association in a Recurrent Network
Quantifying Stimulus Discriminability: A Comparison of Information Theory and Ideal Observer Analysis
Cross-Domain Metric and Multiple Kernel Learning Based on Information Theory
Neural Networks and the Bias/Variance Dilemma
A New Backpropagation Learning Algorithm for Layered Neural Networks with Nondifferentiable Units
Is the Homunculus "Aware" of Sensory Adaptation?
Joint Estimation of Effective Brain Wave Activation Modes Using EEG/MEG Sensor Arrays and Multimodal MRI Volumes
An Alternative Perspective on Adaptive Independent Component Analysis Algorithms
Multilinear Common Component Analysis via Kronecker Product Representation
Graph Transduction as a Noncooperative Game
Statistical Signs of Common Inhibitory Feedback with Delay
Alopex: A Correlation-Based Learning Algorithm for Feedforward and Recurrent Neural Networks
Conditional Density Estimation with Dimensionality Reduction via Squared-Loss Conditional Entropy Minimization
Robust Averaging of Covariances for EEG Recordings Classification in Motor Imagery Brain-Computer Interfaces
Low-Dimensional Manifolds Support Multiplexed Integrations in Recurrent Neural Networks
Neural Simpletrons: Learning in the Limit of Few Labels with Directed Generative Networks
Nondegenerate Piecewise Linear Systems: A Finite Newton Algorithm and Applications in Machine Learning
A Neural Mass Model with Direct and Indirect Excitatory Feedback Loops: Identification of Bifurcations and Temporal Dynamics
Neural Network Modeling of Memory Deterioration in Alzheimer's Disease
Dynamic Moment Analysis of the Extracellular Electric Field of a Biologically Realistic Spiking Neuron
Predictive Representations: Building Blocks of Intelligence
Statistical Theory of Learning Curves under Entropic Loss Criterion
Asymptotic Convergence of Backpropagation
Using Expectation-Maximization for Reinforcement Learning
Blind Separation of a Mixture of Uniformly Distributed Source Signals: A Novel Approach
Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition
Robustifying AdaBoost by Adding the Naive Error Rate
A Neural Net Associative Memory for Real-Time Applications
Inference and Learning for Generative Capsule Models
Motion sensor technologies in education
Strategic Market Choice: Frequent Call Markets vs. Continuous Double Auctions for Fast and Slow Traders
Robust Mechanisms for Sponsored Search
Toward reusable game technologies: assessing the usability of the RAGE component-based architecture framework
Can "Complex" Market Designs Make it from Theory to Practice? Changing the Course Allocation Mechanism at Wharton
Lessons Learned from the Gamified Solutions in Healthcare Project: Usability Studies of Digital Game-based Physical Exercises for Elderly People
Trading networks with bilateral contracts
Programming Games for Logical Thinking
The Impact of Gamified Social-Media Mobile Challenges on Mental Well-being
Designing Tourism Websites for Children: Guidelines and Experimental Results
Resource Allocation for Multicell Device-to-Device Communications in Cellular Network: A Game Theoretic Approach
Serious computer games in computer science education
Playable One-Switch Video Games for Children with Severe Motor Disabilities Based on GNomon
The Allocation of Food to Food Banks
Editorial: the NOVATICA collaboration
Dynamic Difficulty Adjustment through a Learning Analytics Model in a Casual Serious Game for Computer Programming Learning
How to create a serious game?
Hedonic recycling: Using gamification and sensory stimuli to enhance the recycling experience
Digital Games' Development Model
Games in Learning: Shedding Light on a Problematic Taxonomy
Rehabilitative Games for Stroke Patients
Efficient Bilateral Trade
Adapting the Complexity Level of a Serious Game to the Proficiency of Players
Auction Design with Advised Bidders
An Open Platform for Full Body Interactive Sonification Exergames
TimeMesh - A Serious Game for European Citizenship
Learning and Long-Term Retention of a Complex Sensorimotor Task Within an Immersive Virtual Reality Environment in a Non-Injured Population
The Blexer system - Adaptive full play therapeutic exergames with web-based supervision for people with motor dysfunctionalities
Deploying Serious Games for Management in Higher Education: lessons learned and good practices
Wearable Sensor Networks for Motion Capture
Encouraging persons to visit cultural sites through mini-games
Be Civic: An Immersive Serious Game
Innovative interfaces for Serious Games
Arithmetic Bird: a game for training mathematical operations
Ubiquitous Computing at its best: Serious exercise games for older adults in ambient assisted living environments - a technology acceptance perspective