yusuke1997/dblp-id-title huggingface dataset:
Mean First Passage Memory Lifetimes by Reducing Complex Synapses to Simple Synapses
A General Probability Estimation Approach for Neural Computation
Visual Perception of Three-Dimensional Motion
Why Some Feedforward Networks Cannot Learn Some Polynomials
Dynamics of Multiple-Choice Decision Making
Analysis of Synchronization Between Two Modules of Pulse Neural Networks with Excitatory and Inhibitory Connections
A Spline Framework for Estimating the EEG Surface Laplacian Using the Euclidean Metric
Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning
On the Slow Convergence of EM and VBEM in Low-Noise Linear Models
2-Degree-of-freedom Robot Path Planning using Cooperative Neural Fields
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection
Column Row Convolutional Neural Network: Reducing Parameters for Efficient Image Processing
Memory Dynamics in Attractor Networks with Saliency Weights
A Multiclass Classification Method Based on Decoding of Binary Classifiers
Desiderata for Normative Models of Synaptic Plasticity
Stability Conditions of Bicomplex-Valued Hopfield Neural Networks
Supervised Determined Source Separation with Multichannel Variational Autoencoder
Statistical Physics, Mixtures of Distributions, and the EM Algorithm
Product Units: A Computationally Powerful and Biologically Plausible Extension to Backpropagation Networks
The Basal Ganglia Optimize Decision Making over General Perceptual Hypotheses
Finite State Automata Resulting from Temporal Information Maximization and a Temporal Learning Rule
Dynamic Integrative Synaptic Plasticity Explains the Spacing Effect in the Transition from Short- to Long-Term Memory
A Spherical Basis Function Neural Network for Modeling Auditory Space
Solving the Distal Reward Problem with Rare Correlations
Recurrent Neural Networks with Small Weights Implement Definite Memory Machines
Learning in the Recurrent Random Neural Network
Exploring the Architectural Biases of the Cortical Microcircuit
Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynamics
On the Effect of the Activation Function on the Distribution of Hidden Nodes in a Deep Network
Firing Rate Distributions and Efficiency of Information Transmission of Inferior Temporal Cortex Neurons to Natural Visual Stimuli
Analysis of Dynamical Recognizers
Sparse Code Shrinkage: Denoising of Nongaussian Data by Maximum Likelihood Estimation
Bounds on Error Expectation for Support Vector Machines
Neural Feature Abstraction from Judgements of Similarity
Analysis and Design of Echo State Networks
Discrete- and Continuous-Time Probabilistic Models and Algorithms for Inferring Neuronal UP and DOWN States
Interactions of Excitatory and Inhibitory Feedback Topologies in Facilitating Pattern Separation and Retrieval
Reduced-Dimension, Biophysical Neuron Models Constructed From Observed Data
Design Principles of Columnar Organization in Visual Cortex
A Reservoir Computing Model of Reward-Modulated Motor Learning and Automaticity
Improving Stock Closing Price Prediction Using Recurrent Neural Network and Technical Indicators
Robust Closed-Loop Control of a Cursor in a Person with Tetraplegia using Gaussian Process Regression
Multiclass Classification and Feature Selection Based on Least Squares Regression with Large Margin
Differential Geometry Methods for Constructing Manifold-Targeted Recurrent Neural Networks
Object Recognition and Sensitive Periods: A Computational Analysis of Visual Imprinting
Adaptive Encoding Strongly Improves Function Approximation with CMAC
Machine Learning of Time Series Using Time-Delay Embedding and Precision Annealing
Activity-Dependent Development of Axonal and Dendritic Delays, or, Why Synaptic Transmission Should Be Unreliable
Stability-Based Validation of Clustering Solutions
A Network Simulation of Thalamic Circuit Operations in Selective Attention
How the Shape of Pre- and Postsynaptic Signals Can Influence STDP: A Biophysical Model
Bayesian Interpolation
Statistically Efficient Estimation Using Population Coding
Recurrent Network Model of the Neural Mechanism of Short-Term Active Memory
Annealed Competition of Experts for a Segmentation and Classification of Switching Dynamics
Redistribution of Synaptic Efficacy Supports Stable Pattern Learning in Neural Networks
On Suspicious Coincidences and Pointwise Mutual Information
Spatial Attention Enhances Crowded Stimulus Encoding Across Modeled Receptive Fields by Increasing Redundancy of Feature Representations
Learning the Unlearnable
A Simple Model for Low Variability in Neural Spike Trains
A Distributed Neural Network Architecture for Hexapod Robot Locomotion
Supervised Training of Neural Networks via Ellipsoid Algorithms
Estimation of Network Parameters in Semiparametric Stochastic Perceptron
Functional Consequences of an Integration of Motion and Stereopsis in Area MT of Monkey Extrastriate Visual Cortex
Rank Selection in Nonnegative Matrix Factorization using Minimum Description Length
Prototype Classification: Insights from Machine Learning
Active Inference and Learning in the Cerebellum
A Continuous-Time Analysis of Distributed Stochastic Gradient
On Numerical Simulations of Integrate-and-Fire Neural Networks
Improved Perceptual Learning by Control of Extracellular GABA Concentration by Astrocytic Gap Junctions
Singular Perturbation Analysis of Competitive Neural Networks with Different Time Scales
Model Dependence in Quantification of Spike Interdependence by Joint Peri-Stimulus Time Histogram
Probability of Stimulus Detection in a Model Population of Rapidly Adapting Fibers
MOSAIC Model for Sensorimotor Learning and Control
A Computationally Efficient Method for Incorporating Spike Waveform Information into Decoding Algorithms
Asymmetric Complexity in a Pupil Control Model With Laterally Imbalanced Neural Activity in the Locus Coeruleus: A Potential Biomarker for Attention-Deficit/Hyperactivity Disorder
Coenzyme Q10 Benefits Symptoms in Gulf War Veterans: Results of a Randomized Double-Blind Study
The Helmholtz machine
Spiking Neuron-Astrocyte Networks for Image Recognition
Phase Locking Below Rate Threshold in Noisy Model Neurons
Sleeping Our Way to Weight Normalization and Stable Learning
Abstract Stimulus-Specific Adaptation Models
Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses
A Simple Model of Nonspiking Neurons
A Unifying View of Wiener and Volterra Theory and Polynomial Kernel Regression
Neural Decoding with Kernel-Based Metric Learning
Face Representations via Tensorfaces of Various Complexities
Arbitrary Norm Support Vector Machines
No Free Lunch for Noise Prediction
The High-Conductance State of Cortical Networks
Transition Scale-Spaces: A Computational Theory for the Discretized Entorhinal Cortex
Dynamics and Robustness of Familiarity Memory
Quantifying and Maximizing the Information Flux in Recurrent Neural Networks
Optimal Smoothing in Visual Motion Perception
On Functional Approximation with Normalized Gaussian Units
SVM Soft Margin Classifiers: Linear Programming versus Quadratic Programming
Deterministic Boltzmann Learning Performs Steepest Descent in Weight-Space
Probabilistic Motion Estimation Based on Temporal Coherence
Learning Innate Face Preferences
A Scale-Invariant Internal Representation of Time
Learning Hough Transform: A Neural Network Model
Smooth Gradient Representations as a Unifying Account of Chevreul's Illusion, Mach Bands, and a Variant of the Ehrenstein Disk
Approximate, Computationally Efficient Online Learning in Bayesian Spiking Neurons
How Tight Are the Vapnik-Chervonenkis Bounds?
A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity
Optimizing the Usability of Brain-Computer Interfaces
The Effects of Spike Frequency Adaptation and Negative Feedback on the Synchronization of Neural Oscillators
Limitations of the Hodgkin-Huxley Formalism: Effects of Single Channel Kinetics on Transmembrane Voltage Dynamics
Vector Symbolic Spiking Neural Network Model of Hippocampal Subarea CA1 Novelty Detection Functionality
A simple competitive account of some response properties of visual neurons in area MSTd
A New Class of Metrics for Spike Trains
Shunting Inhibition Does Not Have a Divisive Effect on Firing Rates
Learning Chaotic Attractors by Neural Networks
Statistical Computer Model Analysis of the Reciprocal and Recurrent Inhibitory Postsynaptic Potentials in alpha-Motoneurons
Probing the Relationship Between Latent Linear Dynamical Systems and Low-Rank Recurrent Neural Network Models
Learning Minimal Latent Directed Information Polytrees
Decoding Movements from Cortical Ensemble Activity Using a Long Short-Term Memory Recurrent Network
Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods
Reward-Modulated Hebbian Learning of Decision Making
A Computational Perspective of the Role of the Thalamus in Cognition
Reducing the Variability of Neural Responses: A Computational Theory of Spike-Timing-Dependent Plasticity
Minimum Acceleration Criterion with Constraints Implies Bang-Bang Control as an Underlying Principle for Optimal Trajectories of Arm Reaching Movements
Indistinguishable Synapses Lead to Sparse Networks
Active Subspace: Toward Scalable Low-Rank Learning
Fisher and Shannon Information in Finite Neural Populations
On Antiperiodic Solutions for Cohen-Grossberg Shunting Inhibitory Neural Networks with Time-Varying Delays and Impulses
Feedforward Approximations to Dynamic Recurrent Network Architectures
Estimation of Sparse Nonnegative Sources from Noisy Overcomplete Mixtures Using MAP
On the Convergence of Stochastic Iterative Dynamic Programming Algorithms
Discrete Time Rescaling Theorem: Determining Goodness of Fit for Discrete Time Statistical Models of Neural Spiking
Two-Trace Model for Spike-Timing-Dependent Synaptic Plasticity
Algorithms for Nonnegative Matrix Factorization with the β-Divergence
Recording from Two Neurons: Second-Order Stimulus Reconstruction from Spike Trains and Population Coding
Computational Aspects of the Respiratory Pattern Generator
State Dependent Weights for Neural Associative Memories
A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis
Causality, Conditional Independence, and Graphical Separation in Settable Systems
Active Inference, Belief Propagation, and the Bethe Approximation
Reduced Representation by Neural Networks with Restricted Receptive Fields
Flat Minima
Spectral Method and High-Order Finite Differences for the Nonlinear Cable Equation
Learning and Generalization in Cascade Network Architectures
On Unique Representations of Certain Dynamical Systems Produced by Continuous-Time Recurrent Neural Networks
An Empirical Overview of the No Free Lunch Theorem and Its Effect on Real-World Machine Learning Classification
An Oscillatory Neural Model of Multiple Object Tracking
A Practical Approach for Representing Context and for Performing Word Sense Disambiguation Using Neural Networks
Attention Modulation of Neural Tuning Through Peak and Base Rate
Statistical Analysis of Decoding Performances of Diverse Populations of Neurons
Modeling Conditional Probability Distributions for Periodic Variables
Classification of Correlated Patterns with a Configurable Analog VLSI Neural Network of Spiking Neurons and Self-Regulating Plastic Synapses
An Extended Projection Neural Network for Constrained Optimization
A Bayesian Model of Polychronicity
Macroscopic Gamma Oscillation With Bursting Neuron Model Under Stochastic Fluctuation
Hebbian Learning of Context in Recurrent Neural Networks
A Bound on the Error of Cross Validation Using the Approximation and Estimation Rates, with Consequences for the Training-test Split
Dopamine Ramps Are a Consequence of Reward Prediction Errors
Stationary Bumps in Networks of Spiking Neurons
Whole-Body Reaching Movements Formulated by Minimum Muscle-Tension Change Criterion
Estimation and Marginalization Using the Kikuchi Approximation Methods
Asymmetry of Neuronal Combinatorial Codes Arises from Minimizing Synaptic Weight Change
The Support Feature Machine: Classification with the Least Number of Features and Application to Neuroimaging Data
Connection and Coordination: The Interplay Between Architecture and Dynamics in Evolved Model Pattern Generators
Conditional Probability-Based Significance Tests for Sequential Patterns in Multineuronal Spike Trains
Nonlinear Complex-Valued Extensions of Hebbian Learning: An Essay
Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting
Soft Learning Vector Quantization
Maximum Pseudolikelihood Estimation for Model-Based Clustering of Time Series Data
Lyapunov Functions for Neural Nets with Nondifferentiable Input-Output Characteristics
The Role of Weight Normalization in Competitive Learning
Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and Prediction
Dimensionality-Dependent Generalization Bounds for k -Dimensional Coding Schemes
The Effect of Correlated Variability on the Accuracy of a Population Code
Full-Span Log-Linear Model and Fast Learning Algorithm
Systems of Bounded Rational Agents with Information-Theoretic Constraints
Heterogeneity in Neuronal Dynamics Is Learned by Gradient Descent for Temporal Processing Tasks
Conversion of Temporal Correlations Between Stimuli to Spatial Correlations Between Attractors
Cortical Map Reorganization as a Competitive Process
A Perceptual-Like Population-Coding Mechanism of Approximate Numerical Averaging
The Geometry of Plasticity-Induced Sensitization in Isoinhibitory Rate Motifs
Double-Gabor Filters Are Independent Components of Small Translation-Invariant Image Patches
Relating Macroscopic Measures of Brain Activity to Fast, Dynamic Neuronal Interactions
A Spiking Neuron Model of Cortical Correlates of Sensorineural Hearing Loss: Spontaneous Firing, Synchrony, and Tinnitus
An Equivalence Between Sparse Approximation And Support Vector Machines
Inferring Neuronal Couplings From Spiking Data Using a Systematic Procedure With a Statistical Criterion
Sufficient Conditions for Error Backflow Convergence in Dynamical Recurrent Neural Networks
Centered-Object Integrated Segmentation and Recognition of Overlapping Handprinted Characters
Representation of similarity in three-dimensional object discrimination
Scalable Semisupervised Functional Neurocartography Reveals Canonical Neurons in Behavioral Networks
Relationship Between Phase and Energy Methods for Disparity Computation
An Ensemble of Cooperative Extended Kohonen Maps for Complex Robot Motion Tasks
Dynamic Gain Changes During Attentional Modulation
Decoding Poisson Spike Trains by Gaussian Filtering
A Subgrouping Strategy that Reduces Complexity and Speeds Up Learning in Recurrent Networks
What Is the Goal of Sensory Coding?
Lateral Connections Improve Generalizability of Learning in a Simple Neural Network
Localist Attractor Networks
Loading Deep Networks Is Hard: The Pyramidal Case
Functional Identification of Spike-Processing Neural Circuits
Robust Stability Analysis of Delayed Stochastic Neural Networks via Wirtinger-Based Integral Inequality
CCCP Algorithms to Minimize the Bethe and Kikuchi Free Energies: Convergent Alternatives to Belief Propagation
The Storage of Time Intervals Using Oscillating Neurons
Q&A Label Learning
Learning with Precise Spike Times: A New Decoding Algorithm for Liquid State Machines
Characterization of Minimum Error Linear Coding with Sensory and Neural Noise
Patterns of Synchrony in Neural Networks with Spike Adaptation
Synchronized Action of Synaptically Coupled Chaotic Model Neurons
Multistream-Based Marked Point Process With Decomposed Cumulative Hazard Functions
A Comparison of Descriptive Models of a Single Spike Train by Information-Geometric Measure
A Binary Variable Model for Affinity Propagation
On the distribution and convergence of feature space in self-organizing maps
Adaptive Optimal Control Without Weight Transport
Direct Density Derivative Estimation
Specification of Training Sets and the Number of Hidden Neurons for Multilayer Perceptrons
Effects of Spike Timing on Winner-Take-All Competition in Model Cortical Circuits
The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks
Learning the Synaptic and Intrinsic Membrane Dynamics Underlying Working Memory in Spiking Neural Network Models
Directional Filling-in
Parsing Complex Sentences with Structured Connectionist Networks
Temporal segmentation in a neural dynamic system
Implications of Noise and Neural Heterogeneity for Vestibulo-Ocular Reflex Fidelity
Deciphering the Brain's Codes
Understanding the Cortical Specialization for Horizontal Disparity
A Simple Model of Transmitter Release and Facilitation
Accurate Connection Strength Estimation Based on Variational Bayes for Detecting Synaptic Plasticity
Recoding Patterns of Sensory Input: Higher-Order Features and the Function of Nonlinear Dendritic Trees
First- and Second-Order Methods for Learning: Between Steepest Descent and Newton's Method
Neural Decoding with Hierarchical Generative Models
Generalization Analysis of Pairwise Learning for Ranking With Deep Neural Networks
An Internal Mechanism for Detecting Parasite Attractors in a Hopfield Network
Direct Discriminative Decoder Models for Analysis of High-Dimensional Dynamical Neural Data
Unsupervised Formation of Vocalization-Sensitive Neurons: A Cortical Model Based on Short-Term and Homeostatic Plasticity
Learning in Wilson-Cowan Model for Metapopulation
Dynamical Behaviors of Delayed Neural Network Systems with Discontinuous Activation Functions
Chaotic Balanced State in a Model Of Cortical Circuits
Extending Cable Theory to Heterogeneous Dendrites
Oscillatory Networks: Pattern Recognition Without a Superposition Catastrophe
Kernel Least-Squares Models Using Updates of the Pseudoinverse
Hidden Quantum Processes, Quantum Ion Channels, and 1/ f θ -Type Noise
Multiway Array Decomposition of EEG Spectrum: Implications of Its Stability for the Exploration of Large-Scale Brain Networks
Selective Interareal Synchronization through Gamma Frequency Differences and Slower-Rhythm Gamma Phase Reset
Optimal Tuning Widths in Population Coding of Periodic Variables
Omitted Variable Bias in GLMs of Neural Spiking Activity
Distributed Newton Methods for Deep Neural Networks
A Mean Field to Capture Asynchronous Irregular Dynamics of Conductance-Based Networks of Adaptive Quadratic Integrate-and-Fire Neuron Models
JPEG Quality Transcoding Using Neural Networks Trained With a Perceptual Error Measure
Adaptive Metric Learning Vector Quantization for Ordinal Classification
A Numerical Study on Learning Curves in Stochastic Multilayer Feedforward Networks
On the Phase-Space Dynamics of Systems of Spiking Neurons. II: Formal Analysis
Synchronization of Bursting Action Potential Discharge in a Model Network of Neocortical Neurons
Clustering Irregular Shapes Using High-Order Neurons
Dynamical Mean Field Model of a Neural-Glial Mass
Reproducing Kernel Banach Spaces with the ℓ 1 Norm II: Error Analysis for Regularized Least Square Regression
Maximum Entropy and Learning Theory
A Sparse Representation For Function Approximation
A Continuous Entropy Rate Estimator for Spike Trains Using a K-Means-Based Context Tree
Energy Model of Neuron Activation
Cortical Cells Should Fire Regularly, But Do Not
A Customized Attention-Based Long Short-Term Memory Network for Distant Supervised Relation Extraction
Spike-Timing-Dependent Construction
Comparison of SOM Point Densities Based on Different Criteria
Axon Guidance: Stretching Gradients to the Limit
Reducing Catastrophic Forgetting With Associative Learning: A Lesson From Fruit Flies
Representation of Concept Lattices by Bidirectional Associative Memories
Training Products of Experts by Minimizing Contrastive Divergence
Oscillations and Spiking Pairs: Behavior of a Neuronal Model with STDP Learning
Pattern Completion in Symmetric Threshold-Linear Networks
Unification as Constraint Satisfaction in Structured Connectionist Networks
Ten Simple Rules for Organizing and Running a Successful Intensive Two-Week Course
Neural Processing of the Subsecond Time Range in the Temporal Cortex
Online Learning Based on Online DCA and Application to Online Classification
Faster Learning for Dynamic Recurrent Backpropagation
Probing the Structure and Functional Properties of the Dropout-Induced Correlated Variability in Convolutional Neural Networks
Alternating Proximal Regularized Dictionary Learning
Real-Time Decoding of Attentional States Using Closed-Loop EEG Neurofeedback
Phase Coupling Estimation from Multivariate Phase Statistics
Contrastive Learning and Neural Oscillations
Prototype Analysis in Hopfield Networks With Hebbian Learning
Understanding the Computational Demands Underlying Visual Reasoning
Generalization and analysis of the Lisberger-Sejnowski VOR model
Nonlinearities and Adaptation of Color Vision from Sequential Principal Curves Analysis
Mutual Information, Fisher Information and Population Coding
Estimating Functions of Independent Component Analysis for Temporally Correlated Signals
Redundancy Reduction and Independent Component Analysis: Conditions on Cumulants and Adaptive Approaches
Consistency of Pseudolikelihood Estimation of Fully Visible Boltzmann Machines
A Weight-Adaptive Laplacian Embedding for Graph-Based Clustering
Randomized Self-Organizing Map
A Proposal for More Powerful Learning Algorithms
Piecewise-Linear Neural Networks and Their Relationship to Rule Extraction from Data
A Hierarchical Dynamical Map as a Basic Frame for Cortical Mapping and Its Application to Priming
Whence the Expected Free Energy?
Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures
Learning of Phase Lags in Coupled Neural Oscillators
New Support Vector Algorithms
Learning Coefficient of Generalization Error in Bayesian Estimation and Vandermonde Matrix-Type Singularity
Does Corticothalamic Feedback Control Cortical Velocity Tuning?
An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks
Universal Approximation Using Radial-Basis-Function Networks
Emergence of Phase- and Shift-Invariant Features by Decomposition of Natural Images into Independent Feature Subspaces
Distributed Synaptic Connection Strength Changes Dynamics in a Population Firing Rate Model in Response to Continuous External Stimuli
Dynamics of Strongly Coupled Spiking Neurons
A Distributed Framework for the Construction of Transport Maps
Evidence for Multiscale Multiplexed Representation of Visual Features in EEG
Mean-Field Approaches to Independent Component Analysis
Bounding the Bias of Contrastive Divergence Learning
Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains
Range-Based ICA Using a Nonsmooth Quasi-Newton Optimizer for Electroencephalographic Source Localization in Focal Epilepsy
Stochastic Reasoning, Free Energy, and Information Geometry
Adaptive Spatiotemporal Receptive Field Estimation in the Visual Pathway
Dynamic Multiscale Modes of Resting State Brain Activity Detected by Entropy Field Decomposition
A Fast Histogram-Based Postprocessor That Improves Posterior Probability Estimates
A Basic Phase Diagram of Neuronal Dynamics
Feature-Linking Model for Image Enhancement
Inference of a Mesoscopic Population Model from Population Spike Trains
Projective Clustering Using Neural Networks with Adaptive Delay and Signal Transmission Loss
Exact Solution for the Optimal Neuronal Layout Problem
Enhancement of Information Transmission Efficiency by Synaptic Failures
Modeling of Synchronized Bursting Events: The Importance of Inhomogeneity
Visual Motion Priors Differ for Infants and Mothers
Filtering Out Deep Brain Stimulation Artifacts Using a Nonlinear Oscillatory Model
TAG: A Neural Network Model for Large-Scale Optical Implementation
The Leaky Integrator with Recurrent Inhibition as a Predictor
First-Order Recurrent Neural Networks and Deterministic Finite State Automata
On the Nonlearnability of a Single Spiking Neuron
Predictive Coding and the Slowness Principle: An Information-Theoretic Approach
Enhanced Sound Perception by Widespread-Onset Neuronal Responses in Auditory Cortex