yusuke1997/dblp-id-title huggingface dataset:
Learning Fixed Points of Recurrent Neural Networks by Reparameterizing the Network Model
Enhanced EEG Forecasting: A Probabilistic Deep Learning Approach
Erratum to "A Note on Divergences"
Body Mechanics, Optimality, and Sensory Feedback in the Human Control of Complex Objects
An Analysis of Synaptic Normalization in a General Class of Hebbian Models
A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case
What Does the Retina Know about Natural Scenes?
Timescale Separation in Recurrent Neural Networks
Computational Diversity in a Formal Model of the Insect Olfactory Macroglomerulus
Completion of the Infeasible Actions of Others: Goal Inference by Dynamical Invariant
Computer Modeling of Mild Axonal Injury: Implications for Axonal Signal Transmission
Obtaining Lower Query Complexities Through Lightweight Zeroth-Order Proximal Gradient Algorithms
A Spike-Train Probability Model
Network Amplification of Local Fluctuations Causes High Spike Rate Variability, Fractal Firing Patterns and Oscillatory Local Field Potentials
Quantifying Statistical Interdependence by Message Passing on Graphs - Part I: One-Dimensional Point Processes
Equivalence of Linear Boltzmann Chains and Hidden Markov Models
Bayesian Spiking Neurons II: Learning
A Bio-Inspired, Computational Model Suggests Velocity Gradients of Optic Flow Locally Encode Ordinal Depth at Surface Borders and Globally They Encode Self-Motion
Automated Algorithms for Multiscale Morphometry of Neuronal Dendrites
Canonical Correlation Analysis: An Overview with Application to Learning Methods
Parameter Sensitivity of the Elastic Net Approach to the Traveling Salesman Problem
The Discrete and Continuous Brain: From Decisions to Movement - And Back Again
Active Learning for Discrete Latent Variable Models
Improved Sparse Coding Under the Influence of Perceptual Attention
Spike Train SIMilarity Space (SSIMS): A Framework for Single Neuron and Ensemble Data Analysis
Regulation of Ambient GABA Levels by Neuron-Glia Signaling for Reliable Perception of Multisensory Events
Feature Linking via Synchronization among Distributed Assemblies: Simulations of Results from Cat Visual Cortex
A Possible Neural Mechanism for Computing Shape From Shading
Scalable Hybrid Computation with Spikes
A Model of the Differential Representation of Signal Novelty in the Local Field Potentials and Spiking Activity of the Ventrolateral Prefrontal Cortex
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization
Speeding Up Backpropagation Using Multiobjective Evolutionary Algorithms
Global Exponential Stability of Cohen-Grossberg Neural Networks with Piecewise Constant Argument of Generalized Type and Impulses
Information Maximization Explains the Sparseness of Presynaptic Neural Response
Does High Firing Irregularity Enhance Learning?
Methods for combining experts' probability assessments
A Cerebellar Model of Timing and Prediction in the Control of Reaching
Assessing Goodness-of-Fit in Marked Point Process Models of Neural Population Coding via Time and Rate Rescaling
Optimal Curiosity-Driven Modular Incremental Slow Feature Analysis
When Response Variability Increases Neural Network Robustness to Synaptic Noise
Estimating the Support of a High-Dimensional Distribution
Robust MST-Based Clustering Algorithm
On Criticality in High-Dimensional Data
Notes on Bell-Sejnowski PDF-Matching Neuron
Learning Rates of l q Coefficient Regularization Learning with Gaussian Kernel
Unitary Events in Multiple Single-Neuron Spiking Activity: II. Nonstationary Data
Comparison of Approximate Methods for Handling Hyperparameters
High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso
Intrinsic Adaptation in Autonomous Recurrent Neural Networks
A Quasi-Likelihood Approach to Nonnegative Matrix Factorization
Self-Organization of Topographic Bilinear Networks for Invariant Recognition
A Robot that Walks; Emergent Behaviors from a Carefully Evolved Network
Learning Nonlinear Statistical Regularities in Natural Images by Modeling the Outer Product of Image Intensities
Optimal, Unsupervised Learning in Invariant Object Recognition
Task-Agnostic Continual Learning Using Online Variational Bayes With Fixed-Point Updates
Effect of Morphologic Features of Neurons on the Extracellular Electric Potential: A Simulation Study Using Cable Theory and Electro-Quasi-Static Equations
Imaging the Spatiotemporal Dynamics of Cognitive Processes at High Temporal Resolution
A Spiking Neural Network Model of an Actor-Critic Learning Agent
Spike Count Correlation Increases with Length of Time Interval in the Presence of Trial-to-Trial Variation
Optimal Network Construction by Minimum Description Length
Selectively Grouping Neurons in Recurrent Networks of Lateral Inhibition
Pulse Shape and Voltage-Dependent Synchronization in Spiking Neuron Networks
Spiking Neural P Systems with Astrocytes
Nonparametric Modeling of Neural Point Processes via Stochastic Gradient Boosting Regression
Why Do Similarity Matching Objectives Lead to Hebbian/Anti-Hebbian Networks?
Analysis of Oscillations in a Reciprocally Inhibitory Network with Synaptic Depression
Mixtures of Probabilistic Principal Component Analysers
Attentional Recruitment of Inter-Areal Recurrent Networks for Selective Gain Control
Self-Organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes
Dynamic Spatiotemporal Pattern Recognition With Recurrent Spiking Neural Network
Nonlinear Neural Dynamics and Classification Accuracy in Reservoir Computing
Pruning Using Parameter and Neuronal Metrics
Relating STDP to BCM
A model of spatial map formation in the hippocampus of the rat
Investigating the Fault Tolerance of Neural Networks
Research on Imbalanced Data Classification Based on Classroom-Like Generative Adversarial Networks
Statistical Inference, Occam's Razor, and Statistical Mechanics on the Space of Probability Distributions
Almost Periodic Dynamics of a Class of Delayed Neural Networks with Discontinuous Activations
Emergence of Universal Computations Through Neural Manifold Dynamics
Adaptive Two-Pass Median Filter Based on Support Vector Machines for Image Restoration
Fast Global Oscillations in Networks of Integrate-and-Fire Neurons with Low Firing Rates
Memoryless Optimality: Neurons Do Not Need Adaptation to Optimally Encode Stimuli With Arbitrarily Complex Statistics
A Dynamic Neural Network Architecture by Sequential Partitioning of the Input Space
McCulloch-Pitts Brains and Pseudorandom Functions
On the Classification Capability of Sign-Constrained Perceptrons
A Connectionist Computational Model for Epistemic and Temporal Reasoning
Minimax Entropy Principle and Its Application to Texture Modeling
A Fast Learning Algorithm for Deep Belief Nets
Recurrence Methods in the Analysis of Learning Processes
On the Search for Data-Driven and Reproducible Schizophrenia Subtypes Using Resting State fMRI Data From Multiple Sites
Selecting Optimal Experiments for Multiple Output Multilayer Perceptrons
Predicting Axonal Response to Molecular Gradients with a Computational Model of Filopodial Dynamic
Refinements of Universal Approximation Results for Deep Belief Networks and Restricted Boltzmann Machines
Complex Neural Network Models for Time-Varying Drazin Inverse
Time Series Decomposition into Oscillation Components and Phase Estimation
Flexible Transmitter Network
Fast Multigroup Gaussian Process Factor Models
Reward Maximization Through Discrete Active Inference
Localization of Function via Lesion Analysis
A Neural-Network-Based Approach to the Double Traveling Salesman Problem
Sequential Effects in Two-Choice Reaction Time Tasks: Decomposition and Synthesis of Mechanisms
Rate Coding Versus Temporal Order Coding: What the Retinal Ganglion Cells Tell the Visual Cortex
How to Design a Connectionist Holistic Parser
IAN: Iterated Adaptive Neighborhoods for Manifold Learning and Dimensionality Estimation
Detection of Hidden Structures in Nonstationary Spike Trains
Response Variability in Balanced Cortical Networks
Least-Squares Independent Component Analysis
Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits
A Parallel Noise-Robust Algorithm to Recover Depth Information From Radial Flow Fields
Geometric Analysis of Population Rhythms in Synaptically Coupled Neuronal Networks
Identification of Directed Influence: Granger Causality, Kullback-Leibler Divergence, and Complexity
Neural Mechanisms for the Robust Representation of Junctions
Closed-Form Expressions of Some Stochastic Adapting Equations for Nonlinear Adaptive Activation Function Neurons
Synaptic Information Storage Capacity Measured With Information Theory
Stochastic Learning of Strategic Equilibria for Auctions
Correctness of Local Probability Propagation in Graphical Models with Loops
A Double-Layer Multi-Resolution Classification Model for Decoding Spatiotemporal Patterns of Spikes With Small Sample Size
Deep Learning with Dynamic Spiking Neurons and Fixed Feedback Weights
Online Learning of Single- and Multivalued Functions with an Infinite Mixture of Linear Experts
Online Reinforcement Learning Using a Probability Density Estimation
Fixed Points of Competitive Threshold-Linear Networks
Confounder Detection in High-Dimensional Linear Models Using First Moments of Spectral Measures
Dynamic Analyses of Information Encoding in Neural Ensembles
Information and Topology in Attractor Neural Networks
Stimulus Representation and the Timing of Reward-Prediction Errors in Models of the Dopamine System
Maximum Memory Capacity on Neural Networks with Short-Term Synaptic Depression and Facilitation
Computation in a Single Neuron: Hodgkin and Huxley Revisited
The NEURON Simulation Environment
Theory of the Snowflake Plot and Its Relations to Higher-Order Analysis Methods
Solitary Waves of Integrate-and-Fire Neural Fields
Bayesian Inference Explains Perception of Unity and Ventriloquism Aftereffect: Identification of Common Sources of Audiovisual Stimuli
Toward a Biomimetic Neural Circuit Model of Sensory-Motor Processing
Synaptic Depression Leads to Nonmonotonic Frequency Dependence in the Coincidence Detector
Feature Selection in Simple Neurons: How Coding Depends on Spiking Dynamics
How to Modify a Neural Network Gradually Without Changing Its Input-Output Functionality
Deep Learning Solution of the Eigenvalue Problem for Differential Operators
Improving Generalization via Attribute Selection on Out-of-the-Box Data
Computational Properties of Networks of Synchronous Groups of Spiking Neurons
Rational Function Neural Network
Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear Network
Fast, Accurate Localization of Epileptic Seizure Onset Zones Based on Detection of High-Frequency Oscillations Using Improved Wavelet Transform and Matching Pursuit Methods
Natural Gradient Works Efficiently in Learning
A Universal Model for Spike-Frequency Adaptation
A Non-Markovian Random Walk Underlies a Stochastic Model of Spike-Timing-Dependent Plasticity
Initializing Weights of a Multilayer Perceptron Network by Using the Orthogonal Least Squares Algorithm
Maximally Reliable Markov Chains Under Energy Constraints
Assessing Neuronal Coherence with Single-Unit, Multi-Unit, and Local Field Potentials
Extended Poisson Gaussian-Process Latent Variable Model for Unsupervised Neural Decoding
A Mathematical Framework for Statistical Decision Confidence
Bursting Without Slow Kinetics: A Role for a Small World?
Sensory Memory for Odors Is Encoded in Spontaneous Correlated Activity Between Olfactory Glomeruli
Synaptic Scaling Stabilizes Persistent Activity Driven by Asynchronous Neurotransmitter Release
Developmental Constraints Aid the Acquisition of Binocular Disparity Sensitivities
LQG Online Learning
Learning Rates for Classification with Gaussian Kernels
Flexible Working Memory Through Selective Gating and Attentional Tagging
Toward a Free-Response Paradigm of Decision Making in Spiking Neural Networks
Estimation of Time-Dependent Input from Neuronal Membrane Potential
Tuning Low-Voltage-Activated A-Current for Silent Gain Modulation
Control of Chaos in Networks with Delay: A Model for Synchronization of Cortical Tissue
Contrastive Divergence in Gaussian Diffusions
An Efficient Learning Procedure for Deep Boltzmann Machines
Near Saddle-Node Bifurcation Behavior as Dynamics in Working Memory for Goal-Directed Behavior
Multilayer Processing of Spatiotemporal Spike Patterns in a Neuron with Active Dendrites
An Algorithm for the Detection of Faces on the Basis of Gabor Features and Information Maximization
On the Computational Power of Threshold Circuits with Sparse Activity
Efficient Greedy Learning of Gaussian Mixture Models
Model-Based Reinforcement Learning for Partially Observable Games with Sampling-Based State Estimation
Sparse Firing in a Hybrid Central Pattern Generator for Spinal Motor Circuits
Subthreshold Membrane Depolarization as Memory Trace for Perceptual Learning
Population Coding with Correlation and an Unfaithful Model
A Generalized Linear Integrate-and-Fire Neural Model Produces Diverse Spiking Behaviors
A Hierarchical Bayesian Model for Learning Nonlinear Statistical Regularities in Nonstationary Natural Signals
Autonomous Development of Vergence Control Driven by Disparity Energy Neuron Populations
Mean-Field Theory For Batched-TD(l)
On a Stochastic Leaky Integrate-and-Fire Neuronal Model
Input Statistics and Hebbian Cross-Talk Effects
Synapse models for neural networks: from ion channel kinetics to multiplicative coefficient wij
Sequence Memory Based on Coherent Spin-Interaction Neural Networks
Online Learning with Hidden Markov Models
How Does Maintenance of Network Activity Depend on Endogenous Dynamics of Isolated Neurons?
Neural Representation of Spatial Topology in the Rodent Hippocampus
Adjusting the Outputs of a Classifier to New a Priori Probabilities: A Simple Procedure
Cross-Entropy Pruning for Compressing Convolutional Neural Networks
A Computational Feedforward Model Predicts Categorization of Masked Emotional Body Language for Longer, but Not for Shorter, Latencies
Short-Term Memory Capacity in Networks via the Restricted Isometry Property
Engineering multiversion neural-net systems
A Model of Motion Transparency Processing with Local Center-Surround Interactions and Feedback
Learning the Dynamical System Behind Sensory Data
The Vapnik-Chervonenkis Dimension: Information versus Complexity in Learning
A General, Noise-Driven Mechanism for the 1/f-Like Behavior of Neural Field Spectra
Autonomous Evolution of Topographic Regularities in Artificial Neural Networks
A Neural Model of Contour Integration in the Primary Visual Cortex
Mirror Symmetric Topographic Maps Can Arise from Activity-Dependent Synaptic Changes
Toward a Brain-Inspired Developmental Neural Network Based on Dendritic Spine Dynamics
Computing Optical Flow in the Primate Visual System
Visual Remapping by Vector Subtraction: Analysis of Multiplicative Gain Field Models
A Model of Indispensability of a Large Glial Layer in Cerebrovascular Circulation
Learning Curves for Error Minimum and Maximum Likelihood Algorithms
The Refractory Period Matters: Unifying Mechanisms of Macroscopic Brain Waves
Collective Behavior of Networks with Linear (VLSI) Integrate-and-Fire Neurons
Correlations Without Synchrony
On Quadrature Methods for Refractory Point Process Likelihoods
A Self-Organizing Model of "Color Blob" Formation
The Scaling of Winner-Takes-All Accuracy with Population Size
Growing Self-Organizing Surface Map: Learning a Surface Topology from a Point Cloud
Tight Bounds on Transition to Perfect Generalization in Perceptrons
Similarity Metric Learning for a Variable-Kernel Classifier
Encoding with bursting, subthreshold oscillations, and noise in mammalian cold receptors
Local Interactions in Neural Networks Explain Global Effects in Gestalt Processing and Masking
Duality of Rate Coding and Temporal Coding in Multilayered Feedforward Networks
How Well Can We Estimate the Information Carried in Neuronal Responses from Limited Samples?
The Effects of Pair-wise and Higher-order Correlations on the Firing Rate of a Postsynaptic Neuron
Orientation Disparity: A Cue for 3D Orientation?
Modeling Selective Attention Using a Neuromorphic Analog VLSI Device
Blocked 3×2 Cross-Validated t -Test for Comparing Supervised Classification Learning Algorithms
Deep Nonnegative Matrix Factorization With Beta Divergences
Neural Networks With Disabilities: An Introduction to Complementary Artificial Intelligence
A Note on Entropy Estimation
Evidence of Rentian Scaling of Functional Modules in Diverse Biological Networks
Variational Mixture of Bayesian Independent Component Analyzers
Conductance-Based Phenomenological Nonspiking Model: A Dimensionless and Simple Model That Reliably Predicts the Effects of Conductance Variations on Nonspiking Neuronal Dynamics
Input-Driven Oscillations in Networks with Excitatory and Inhibitory Neurons with Dynamic Synapses
Constrained ERM Learning of Canonical Correlation Analysis: A Least Squares Perspective
Analysis of Neural Networks with Redundancy
A Novel Neural Model With Lateral Interaction for Learning Tasks
A New Multineuron Spike Train Metric
Attentional Bias Through Oscillatory Coherence Between Excitatory Activity and Inhibitory Minima
Temporal Symmetry in Primary Auditory Cortex: Implications for Cortical Connectivity
Supervised Dimensionality Reduction on Grassmannian for Image Set Recognition
Sample Skewness as a Statistical Measurement of Neuronal Tuning Sharpness
Active Inference: Demystified and Compared
Reappraisal of the Somatosensory Homunculus and Its Discontinuities
Optimal Coding Predicts Attentional Modulation of Activity in Neural Systems
A Complex-Valued RTRL Algorithm for Recurrent Neural Networks
Training nu-Support Vector Classifiers: Theory and Algorithms
An Amplitude Equation Approach to Contextual Effects in Visual Cortex
Stochastic Hodgkin-Huxley Equations with Colored Noise Terms in the Conductances
Getting to Know Your Neighbors: Unsupervised Learning of Topography from Real-World, Event-Based Input
Infinite von Mises-Fisher Mixture Modeling of Whole Brain fMRI Data
An Efficient Approximation Algorithm for Finding a Maximum Clique Using Hopfield Network Learning
Dynamics of Spiking Neurons with Electrical Coupling
A Unified Theory of Neuro-MRI Data Shows Scale-Free Nature of Connectivity Modes
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
A Large Committee Machine Learning Noisy Rules
Nonlinear Dynamics and Symbolic Dynamics of Neural Networks
Type I Membranes, Phase Resetting Curves, and Synchrony
Reformulation of RBM to Unify Linear and Nonlinear Dimensionality Reduction
Self-Organizing Map with Dynamical Node Splitting: Application to Handwritten Digit Recognition
Topographic Receptive Fields and Patterned Lateral Interaction in a Self-Organizing Model of the Primary Visual Cortex
Neural Code Translation With LIF Neuron Microcircuits
Prewhitening High-Dimensional fMRI Data Sets Without Eigendecomposition
Discrimination with Spike Times and ISI Distributions
Kernel Current Source Density Method
Information-Theoretic Semi-Supervised Metric Learning via Entropy Regularization
Extracting State Transition Dynamics from Multiple Spike Trains Using Hidden Markov Models with Correlated Poisson Distribution
Network Stability from Activity-Dependent Regulation of Neuronal Conductances
Boosting MCTS With Free Energy Minimization
Norm-Observable Operator Models
Electroencephalographic Motor Imagery Brain Connectivity Analysis for BCI: A Review
Outliers Detection in Multivariate Time Series by Independent Component Analysis
Parameters of Spike Trains Observed in a Short Time Window
Differential Log Likelihood for Evaluating and Learning Gaussian Mixtures
Self-organized Formation of Various Invariant-feature Filters in the Adaptive-subspace SOM
Diagrammatic Derivation of Gradient Algorithms for Neural Networks
Frequency Propagation: Multimechanism Learning in Nonlinear Physical Networks
A Neural Network Model of the Eriksen Task: Reduction, Analysis, and Data Fitting
Note on Free Lunches and Cross-validation
Coherent Compound Motion: Corners and Nonrigid Configurations
Generalization Guarantees of Gradient Descent for Shallow Neural Networks
A State-Space Analysis for Reconstruction of Goal-Directed Movements Using Neural Signals
Coarse Coding Resource-Allocating Network
Organization of Binocular Pathways: Modeling and Data Related to Rivalry
From Winner-Takes-All to Winners-Share-All: Exploiting the Information Capacity in Temporal Codes
Speaker-Independent Digit Recognition Using a Neural Network with Time-Delayed Connections
A Hierarchical Adaptive Approach to Optimal Experimental Design
Information-Geometric Measure for Neural Spikes
A Computational Model for Visual Selection
A Theoretical Model of Axon Guidance by the Robo Code
A Model for the Study of the Increase in Stimulus and Change Point Detection with Small and Variable Spiking Delays
On the practical applicability of VC dimension bounds
The Error Surface of the Simplest XOR Network Has Only Global Minima
Efficient Sensory Encoding and Bayesian Inference with Heterogeneous Neural Populations
Firing Rate of the Noisy Quadratic Integrate-and-Fire Neuron
Comments on "A Parallel Mixture of SVMs for Very Large Scale Problems"
Do Neural Networks for Segmentation Understand Insideness?
Binless Kernel Machine: Modeling Spike Train Transformation for Cognitive Neural Prostheses
Statistical Mechanics for a Network of Spiking Neurons
A Two-Layer Model of Natural Stimuli Estimated with Score Matching
Competition Through Selective Inhibitory Synchrony
The Impact of Spike Timing Variability on the Signal-Encoding Performance of Neural Spiking Models
A Fast Algorithm for All-Pairs-Shortest-Paths Suitable for Neural Networks
Disambiguating Visual Motion Through Contextual Feedback Modulation
A New Approach for Estimating the Attraction Domain for Hopfield-Type Neural Networks
Memory States and Transitions between Them in Attractor Neural Networks
Trainable Reference Spikes Improve Temporal Information Processing of SNNs With Supervised Learning
Preintegration Lateral Inhibition Enhances Unsupervised Learning
How to Incorporate New Pattern Pairs without Having to Teach the Previously Acquired Pattern Pairs
Supervised Factorial Learning
N-tuple Network, CART, and Bagging
A Polynomial Time Algorithm That Learns Two Hidden Unit Nets
A Spiking Neural Model for Stable Reinforcement of Synapses Based on Multiple Distal Rewards
Optimality of Upper-Arm Reaching Trajectories Based on the Expected Value of the Metabolic Energy Cost
J4 at Sweet 16: A New Wrinkle?
Elman Backpropagation as Reinforcement for Simple Recurrent Networks
Persistent Neural States: Stationary Localized Activity Patterns in Nonlinear Continuous n -Population, q -Dimensional Neural Networks
Bayesian Online Learning of the Hazard Rate in Change-Point Problems
Bilinear Sparse Coding for Invariant Vision
Effect of Delay on the Boundary of the Basin of Attraction in a Self-Excited Single Graded-Response Neuron
Deviation from Weber's Law in the Non-Pacinian I Tactile Channel: A Psychophysical and Simulation Study of Intensity Discrimination
Descartes' Rule of Signs for Radial Basis Function Neural Networks
Just-in-Time Connectivity for Large Spiking Networks
A New Approach to the Extraction of ANN Rules and to Their Generalization Capacity Through GP
On the Partitioning Capabilities of Feedforward Neural Networks with Sigmoid Nodes
A Hierarchical Model of Binocular Rivalry
From Synaptic Interactions to Collective Dynamics in Random Neuronal Networks Models: Critical Role of Eigenvectors and Transient Behavior
On the Relationship between Generalization Error, Hypothesis Complexity, and Sample Complexity for Radial Basis Functions
Reliability of Spike Timing Is a General Property of Spiking Model Neurons
Dynamics of Continuous Attractor Neural Networks With Spike Frequency Adaptation
Lowering Variance of Decisions by Using Artificial Neural Network Portfolios
Multilevel Data Representation for Training Deep Helmholtz Machines
The Spike-Triggered Average of the Integrate-and-Fire Cell Driven by Gaussian White Noise
Latent Features in Similarity Judgments: A Nonparametric Bayesian Approach