yusuke1997/dblp-id-title huggingface dataset:
Approximate Learning Algorithm in Boltzmann Machines
Complete Stability in Multistable Delayed Neural Networks
On Learning Vector-Valued Functions
A Generalized Contrast Function and Stability Analysis for Overdetermined Blind Separation of Instantaneous Mixtures
Graph Degree Sequence Solely Determines the Expected Hopfield Network Pattern Stability
Dynamics and Computation of Continuous Attractors
Principal Component Analysis for Gaussian Process Posteriors
A Conditional Entropy Minimization Criterion for Dimensionality Reduction and Multiple Kernel Learning
Redundancy, Self-Motion, and Motor Control
Equivalence of Backpropagation and Contrastive Hebbian Learning in a Layered Network
Predicting the Distribution of Synaptic Strengths in a Self-Organizing, Sequence Prediction Model
Independent Variable Time-Step Integration of Individual Neurons for Network Simulations
Guaranteed Classification via Regularized Similarity Learning
Image Representation by Complex Cell Responses
Temporal Order Detection and Coding in Nervous Systems
Spontaneous Slow Oscillations and Sequential Patterns Due to Short-Term Plasticity in a Model of the Cortex
Independent Component Analysis: A Flexible Nonlinearity and Decorrelating Manifold Approach
Neural Network Model of the Cerebellum: Temporal Discrimination and the Timing of Motor Responses
Classification from Triplet Comparison Data
Scalable and Flexible Unsupervised Feature Selection
GTM: The Generative Topographic Mapping
Faithful Representation of Stimuli with a Population of Integrate-and-Fire Neurons
Visual Decisions in the Presence of Measurement and Stimulus Correlations
A Silicon Implementation of the Fly's Optomotor Control System
Spatial Decorrelation in Orientation-Selective Cortical Cells
Capturing the Forest but Missing the Trees: Microstates Inadequate for Characterizing Shorter-Scale EEG Dynamics
Synaptic Dynamics in Analog VLSI
On Convergence Rates of Mixtures of Polynomial Experts
A Biologically Motivated Solution to the Cocktail Party Problem
Regularized Parameter Estimation in High-Dimensional Gaussian Mixture Models
Propagating Distributions Up Directed Acyclic Graphs
Realistically Coupled Neural Mass Models Can Generate EEG Rhythms
STDP-Compatible Approximation of Backpropagation in an Energy-Based Model
Kernel-Based Equiprobable Topographic Map Formation
Cooperativity, Information Gain, and Energy Cost During Early LTP in Dendritic Spines
Temporal Variabilities Provide Additional Category-Related Information in Object Category Decoding: A Systematic Comparison of Informative EEG Features
Controlling Complexity of Cerebral Cortex Simulations - II: Streamlined Microcircuits
A Probabilistic Framework for Region-Specific Remodeling of Dendrites in Three-Dimensional Neuronal Reconstructions
Efficient Blind Dereverberation and Echo Cancellation Based on Independent Component Analysis for Actual Acoustic Signals
Modular Encoding and Decoding Models Derived from Bayesian Canonical Correlation Analysis
Learning and Extracting Finite State Automata with Second-Order Recurrent Neural Networks
An Estimation of Generalized Bradley-Terry Models Based on the em Algorithm
Nonparametric e -Mixture Estimation
Feedback Decoding of Spatially Structured Population Activity in Cortical Maps
Linear Coordinate-Descent Message Passing for Quadratic Optimization
Neural Network for Dynamic Binding with Graph Representation: Form, Linking, and Depth-from-Occlusion
Theoretical and Evolutionary Parameter Tuning of Neural Oscillators with a Double-Chain Structure for Generating Rhythmic Signals
Nonparametric Conditional Density Estimation Using Piecewise-Linear Solution Path of Kernel Quantile Regression
Exact Event-Driven Implementation for Recurrent Networks of Stochastic Perfect Integrate-and-Fire Neurons
Frequency Selectivity of Neural Circuits With Heterogeneous Discrete Transmission Delays
Emergence of Position-Independent Detectors of Sense of Rotation and Dilation with Hebbian Learning: An Analysis
Making the Error-Controlling Algorithm of Observable Operator Models Constructive
Information Recall Using Relative Spike Timing in a Spiking Neural Network
Response of Integrate-and-Fire Neurons to Noisy Inputs Filtered by Synapses with Arbitrary Timescales: Firing Rate and Correlations
Analog VLSI-Based Modeling of the Primate Oculomotor System
Suitability of V1 Energy Models for Object Classification
Memory Nearly on a Spring: A Mean First Passage Time Approach to Memory Lifetimes
Excessive Noise Injection Training of Neural Networks for Markerless Tracking in Obscured and Segmented Environments
Spontaneous Action Potentials and Neural Coding in Unmyelinated Axons
The Minimal Local-Asperity Hypothesis of Early Retinal Lateral Inhibition
A No-Go Theorem for One-Layer Feedforward Networks
Reward-Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning
Stationary and Integrated Autoregressive Neural Network Processes
Solution Methods for a New Class of Simple Model Neurons
Classification Of Temporal Patterns In Dynamic Biological Networks
Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection
Learning Precise Spike Train-to-Spike Train Transformations in Multilayer Feedforward Neuronal Networks
Bicomplex Projection Rule for Complex-Valued Hopfield Neural Networks
Orthogonal Gated Recurrent Unit With Neumann-Cayley Transformation
Two Stages of Curve Detection Suggest Two Styles of Visual Computation
Information Transfer Through Stochastic Transmission of a Linear Combination of Rates
Oscillating Networks: Control of Burst Duration by Electrically Coupled Neurons
The Characteristics of the Convergence Time of Associative Neural Networks
Pattern Generation by Two Coupled Time-Discrete Neural Networks with Synaptic Depression
Neuromorphic Engineering: In Memory of Misha Mahowald
The Early Restart Algorithm
Kernels for Longitudinal Data with Variable Sequence Length and Sampling Intervals
Dynamical Regimes in Neural Network Models of Matching Behavior
Neural Networks with Dynamic Synapses
Contrastive Similarity Matching for Supervised Learning
-Opt Neural Approaches to Quadratic Assignment Problems
Second-Order SMO Improves SVM Online and Active Learning
Selective Inference for Change Point Detection by Recurrent Neural Network
Playing Billiards in Version Space
A Dynamic Neural Network Model of Sensorimotor Transformations in the Leech
Time-Domain Solutions of Oja's Equations
The Role of the Hippocampus in Solving the Morris Water Maze
Multispikes and Synchronization in a Large Neural Network with Temporal Delays
Robust Blind Source Separation by Beta Divergence
Neural Decoding: A Predictive Viewpoint
New Insights Into Learning With Correntropy-Based Regression
Identification and Continuity of the Distributions of Burst-Length and Interspike Intervals in the Stochastic Morris-Lecar Neuron
Robust Common Spatial Filters with a Maxmin Approach
Relating Human Error-Based Learning to Modern Deep RL Algorithms
Predictive Processing in Cognitive Robotics: A Review
Combined 5 x 2 cv F Test for Comparing Supervised Classification Learning Algorithms
Guaranteed Cost Synchronization of Chaotic Cellular Neural Networks with Time-Varying Delay
Optimal Decision Making on the Basis of Evidence Represented in Spike Trains
Correlated Attractors from Uncorrelated Stimuli
Representation and Timing in Theories of the Dopamine System
A Transition to Sharp Timing in Stochastic Leaky Integrate-and-Fire Neurons Driven by Frozen Noisy Input
Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation
The Rise and Fall of Memory in a Model of Synaptic Integration
Recurrent and Feedforward Polynomial Modeling of Coupled Time Series
Knowledge as a Breaking of Ergodicity
The Perceptron Algorithm is Fast for Nonmalicious Distributions
The Existence of A Priori Distinctions Between Learning Algorithms
A-Type K + Current Can Act as a Trigger for Bursting in the Absence of a Slow Variable
A Reward-Maximizing Spiking Neuron as a Bounded Rational Decision Maker
Robust Modulation of Integrate-and-Fire Models
Phase Transitions in Connectionist Models Having Rapidly Varying Connection Strengths
A Machine Learning Method for Extracting Symbolic Knowledge from Recurrent Neural Networks
Probability Density Methods for Smooth Function Approximation and Learning in Populations of Tuned Spiking Neurons
Optimal Detection of Flash Intensity Differences Using Rod Photocurrent Observations
Neural Coding: Higher-Order Temporal Patterns in the Neurostatistics of Cell Assemblies
Convergence Properties of the Softassign Quadratic Assignment Algorithm
Fast and Exact Simulation Methods Applied on a Broad Range of Neuron Models
Local Overfitting Control via Leverages
A New Bidimensional Neural Field Model with Heterogeneous Connection Topology
Rhythmic Inhibition Allows Neural Networks to Search for Maximally Consistent States
A Cerebellar Computational Mechanism for Delay Conditioning at Precise Time Intervals
ISO Learning Approximates a Solution to the Inverse-Controller Problem in an Unsupervised Behavioral Paradigm
A Bayesian Committee Machine
Selectivity and Stability via Dendritic Nonlinearity
VLSI Implementation of Neural Classifiers
Distributed Parallel Processing in the Vestibulo-Oculomotor System
Disentangled Representation Learning and Generation With Manifold Optimization
Delays and Oscillations in Networks of Spiking Neurons: A Two-Timescale Analysis
Synaptic Delay Learning in Pulse-Coupled Neurons
A One-Layer Recurrent Neural Network with a Discontinuous Activation Function for Linear Programming
On Rhythms in Neuronal Networks with Recurrent Excitation
Dynamical Synapses Enhance Neural Information Processing: Gracefulness, Accuracy, and Mobility
Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors
Algorithms for Sparse Nonnegative Tucker Decompositions
Bayesian Sparse Partial Least Squares
Estimation of Positive Semidefinite Correlation Matrices by Using Convex Quadratic Semidefinite Programming
Pruning from Adaptive Regularization
Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines
A Robust Model of Gated Working Memory
Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
The Combined Effects of Inhibitory and Electrical Synapses in Synchrony
Identification Using Feedforward Networks
Hybrid Modeling, HMM/NN Architectures, and Protein Applications
Learning Where to Attend with Deep Architectures for Image Tracking
On the Uniqueness of Loopy Belief Propagation Fixed Points
Maintaining Consistency of Spatial Information in the Hippocampal Network: A Combinatorial Geometry Model
Are Visual Cortex Maps Optimized for Coverage?
Synchronization and Redundancy: Implications for Robustness of Neural Learning and Decision Making
Competition Between Synaptic Depression and Facilitation in Attractor Neural Networks
A Constructive, Incremental-learning Network for Mixture Modeling and Classification
The Transition to Perfect Generalization in Perceptrons
Test Error Fluctuations in Finite Linear Perceptrons
Metabolically Efficient Information Processing
Neutral Stability, Rate Propagation, and Critical Branching in Feedforward Networks
DC Algorithm for Extended Robust Support Vector Machine
Resampling Method for Unsupervised Estimation of Cluster Validity
Fast Access to Concepts in Concept Lattices via Bidirectional Associative Memories
Fragility in Dynamic Networks: Application to Neural Networks in the Epileptic Cortex
Classification of Faces in Man and Machine
Fast and Accurate Langevin Simulations of Stochastic Hodgkin-Huxley Dynamics
Comparison of Some Neural Network and Scattered Data Approximations: The Inverse Manipulator Kinematics Example
Variational Learning in Nonlinear Gaussian Belief Networks
Dissociable Forms of Repetition Priming: A Computational Model
Plasticity-Induced Symmetry Relationships Between Adjacent Self-Organizing Topographic Maps
Stochastic Dynamics of a Finite-Size Spiking Neural Network
Distributed Phase Oscillatory Excitation Efficiently Produces Attractors Using Spike-Timing-Dependent Plasticity
Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
Mean-Field Approximations for Coupled Populations of Generalized Linear Model Spiking Neurons with Markov Refractoriness
Neural Networks for Fingerprint Recognition
Solving the Problem of Negative Synaptic Weights in Cortical Models
Manhattan World: Orientation and Outlier Detection by Bayesian Inference
Evaluating Auditory Performance Limits: II. One-Parameter Discrimination with Random-Level Variation
On the Organization of Grid and Place Cells: Neural Denoising via Subspace Learning
How Close Are We to Understanding V1?
Symbolic Computation Using Cellular Automata-Based Hyperdimensional Computing
A Grouped Ranking Model for Item Preference Parameter
On the Consistency of the Blocked Neural Network Estimator in Time Series Analysis
Spike-Timing-Dependent Plasticity and Reliability Optimization: The Role of Neuron Dynamics
Learning State Space Trajectories in Recurrent Neural Networks
Analysis of Regression Algorithms with Unbounded Sampling
Advancing the Boundaries of High-Connectivity Network Simulation with Distributed Computing
Approximation and Radial-Basis-Function Networks
Supervised Dimension Reduction of Intrinsically Low-Dimensional Data
The Evidence Framework Applied to Classification Networks
Constraints on Synchronizing Oscillator Networks
Comparison of Different Generalizations of Clustering Coefficient and Local Efficiency for Weighted Undirected Graphs
Nearly Optimal Learning Using Sparse Deep ReLU Networks in Regularized Empirical Risk Minimization With Lipschitz Loss
Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation
Transfer Learning With Singular Value Decomposition of Multichannel Convolution Matrices
Efficient Position Decoding Methods Based on Fluorescence Calcium Imaging in the Mouse Hippocampus
A Learning Algorithm for Continually Running Fully Recurrent Neural Networks
A Classification Method to Distinguish Cell-Specific Responses Elicited by Current Pulses in Hippocampal CA1 Pyramidal Cells
Phase Precession Through Synaptic Facilitation
A Computational Study on Synaptic Plasticity Regulation and Information Processing in Neuron-Astrocyte Networks
Design of Continuous Attractor Networks with Monotonic Tuning Using a Symmetry Principle
Decision Threshold Learning in the Basal Ganglia for Multiple Alternatives
Irregular Firing of Isolated Cortical Interneurons in Vitro Driven by Intrinsic Stochastic Mechanisms
Noninvertibility, Chaotic Coding, and Chaotic Multiplexity of Synaptically Modulated Neural Firing
Sequential Bayesian Decoding with a Population of Neurons
Mean Instantaneous Firing Frequency Is Always Higher Than the Firing Rate
On the Design of BSB Neural Associative Memories Using Semidefinite Programming
Effects of Nonlinear Synapses on the Performance of Multilayer Neural Networks
A Stochastic Method to Predict the Consequence of Arbitrary Forms of Spike-Timing-Dependent Plasticity
Circuit Polarity Effect of Cortical Connectivity, Activity, and Memory
Estimating the Entropy Rate of Spike Trains via Lempel-Ziv Complexity
Efficient Sample Reuse in Policy Gradients with Parameter-Based Exploration
Control of Neuronal Output by Inhibition at the Axon Initial Segment
The Two-Dimensional Gabor Function Adapted to Natural Image Statistics: A Model of Simple-Cell Receptive Fields and Sparse Structure in Images
Spontaneous Development of Modularity in Simple Cortical Models
Improving Generalization for Temporal Difference Learning: The Successor Representation
Change-Based Inference in Attractor Nets: Linear Analysis
Neural Information Processing with Feedback Modulations
Natural Discriminant Analysis Using Interactive Potts Models
When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time
Dendritic Subunits Determined by Dendritic Morphology
A Sensorimotor Approach to Sound Localization
Diversity Deconstrains Component Limitations in Sensorimotor Control
Joint Concept Correlation and Feature-Concept Relevance Learning for Multilabel Classification
Parameter Learning for Alpha Integration
Bootstrapping confidence intervals for clinical input variable effects in a network trained to identify the presence of acute myocardial infarction
STDP Provides the Substrate for Igniting Synfire Chains by Spatiotemporal Input Patterns
Identification Criteria and Lower Bounds for Perceptron-LikeLearning Rules
Mechanism-Based and Input-Output Modeling of the Key Neuronal Connections and Signal Transformations in the CA3-CA1 Regions of the Hippocampus
Removing Time Variation with the Anti-Hebbian Differential Synapse
Conjugate Mixture Models for Clustering Multimodal Data
Nonlinear Time-Series Prediction with Missing and Noisy Data
Entropy Estimation in Turing's Perspective
Dynamical Consequences of Fast-Rising, Slow-Decaying Synapses in Neuronal Networks
Continuous-Time Neural Networks Can Stably Memorize Random Spike Trains
Mathematical Modeling of PI3K/Akt Pathway in Microglia
Neural Network Uncertainty Assessment Using Bayesian Statistics: A Remote Sensing Application
Generalizing Smoothness Constraints from Discrete Samples
Learning to Generalize from Single Examples in the Dynamic Link Architecture
Mutual Information Expansion for Studying the Role of Correlations in Population Codes: How Important Are Autocorrelations?
Random Embedding Machines for Pattern Recognition
Capturing Spike Variability in Noisy Izhikevich Neurons Using Point Process Generalized Linear Models
Bayesian Radial Basis Functions of Variable Dimension
Layered Neural Networks with Gaussian Hidden Units as Universal Approximations
Large-Margin Classification in Infinite Neural Networks
Numerical Bifurcation Analysis of an Oscillatory Neural Network with Synchronous/Asynchronous Connections
Linear Methods for Efficient and Fast Separation of Two Sources Recorded with a Single Microphone
Speech Emotional Features Extraction Based on Electroglottograph
Modeling Reaching Impairment After Stroke Using a Population Vector Model of Movement Control That Incorporates Neural Firing-Rate Variability
Adding Recurrence to a Simple Feedforward Network Can Enable it to Perform Exclusive-or
Estimating the Temporal Interval Entropy of Neuronal Discharge
Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering
Spike Frequency Adaptation Affects the Synchronization Properties of Networks of Cortical Oscillator
On the Ordering Conditions for Self-Organizing Maps
Adaptive Classification on Brain-Computer Interfaces Using Reinforcement Signals
A Computational Model as Neurodecoder Based on Synchronous Oscillation in the Visual Cortex
A Convergence Result for Learning in Recurrent Neural Networks
Doubly Distributional Population Codes: Simultaneous Representation of Uncertainty and Multiplicity
Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits
Synchronization in Networks of Excitatory and Inhibitory Neurons with Sparse, Random Connectivity
Stimulus-Dependent Assembly Formation of Oscillatory Responses: I. Synchronization
Vector Symbolic Finite State Machines in Attractor Neural Networks
Time-Series Segmentation Using Predictive Modular Neural Networks
X-DC: Explainable Deep Clustering Based on Learnable Spectrogram Templates
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting
Sensitivity Derivatives for Flexible Sensorimotor Learning
Toward a Theory of the Striate Cortex
Nonconvex Policy Search Using Variational Inequalities
Performance Limitations in Sensorimotor Control: Trade-Offs Between Neural Computation and Accuracy in Tracking Fast Movements
The Optimal Synapse for Sparse, Binary Signals in the Rod Pathway
Approximate Maximum Entropy Joint Feature Inference Consistent with Arbitrary Lower-Order Probability Constraints: Application to Statistical Classification
Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC
Continuous-Time Symmetric Hopfield Nets Are Computationally Universal
Using Multilayer Perceptron Computation to Discover Ideal Insect Olfactory Receptor Combinations in the Mosquito and Fruit Fly for an Efficient Electronic Nose
Toward a Unified Framework for Cognitive Maps
Ultrasound Tomography Imaging of Defects Using Neural Networks
Hermite Functional Link Neural Network for Solving the Van der Pol-Duffing Oscillator Equation
Self-Consistent Learning of the Environment
Advancements in Algorithms and Neuromorphic Hardware for Spiking Neural Networks
Online Steepest Descent Yields Weights with Nonnormal Limiting Distribution
A Graphical Model Framework for Decoding in the Visual ERP-Based BCI Speller
Learning Spike-Based Population Codes by Reward and Population Feedback
Rate of Convergence in Density Estimation Using Neural Networks
A Differential Model of the Complex Cell
Statistical Physics Algorithms That Converge
Parametric UMAP Embeddings for Representation and Semisupervised Learning
How Dependencies between Successive Examples Affect On-Line Learning
Receptive Field Structures for Recognition
Vector-Derived Transformation Binding: An Improved Binding Operation for Deep Symbol-Like Processing in Neural Networks
Do Simple Cells in Primary Visual Cortex Form a Tight Frame?
Self-Organization of Firing Activities in Monkey's Motor Cortex: Trajectory Computation from Spike Signals
Unsupervised Learning of Temporal Abstractions With Slot-Based Transformers
Extended Kalman Filter-Based Pruning Method for Recurrent Neural Networks
On the Consistency of Bayesian Variable Selection for High Dimensional Binary Regression and Classification
Stochastic Synchrony of Chaos in a Pulse-Coupled Neural Network with Both Chemical and Electrical Synapses Among Inhibitory Neurons
The Computational Power of Discrete Hopfield Nets with Hidden Units
Estimating a State-Space Model from Point Process Observations: A Note on Convergence
Manifold Alignment Aware Ants: A Markovian Process for Manifold Extraction
How Membrane Properties Shape the Discharge of Motoneurons: A Detailed Analytical Study
eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems
Incremental Online Learning in High Dimensions
Data-Robust Tight Lower Bounds to the Information Carried by Spike Times of a Neuronal Population
An Analysis of Orientation and Ocular Dominance Patterns in the Visual Cortex of Cats and Ferrets
Figure-Ground Separation by Cue Integration
Fixed Point Attractor Analysis for a Class of Neurodynamics
Generation of Spike Trains with Controlled Auto- and Cross-Correlation Functions
On the Relation Between Encoding and Decoding of Neuronal Spikes
The target switch algorithm: a constructive learning procedure for feed-forward neural networks
Continuous Online Sequence Learning with an Unsupervised Neural Network Model
Accuracy and Efficiency in Fixed-Point Neural ODE Solvers
Impact of Geometrical Structures on the Output of Neuronal Models: A Theoretical and Numerical Analysis
Intracellular Dynamics of Virtual Place Cells
Pattern Filtering for Detection of Neural Activity, with Examples from HVc Activity During Sleep in Zebra Finches
Conditional Mixture Model for Correlated Neuronal Spikes
Sequence Manipulation Using Parallel Mapping Networks
Memory Recall by Quasi-Fixed-Point Attractors in Oscillator Neural Networks
Simulating and Predicting Dynamical Systems With Spatial Semantic Pointers
Properties of Support Vector Machines
An Extension of the Receiver Operating Characteristic Curve and AUC-Optimal Classification
Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration-Based Approach
Efficient Learning in Boltzmann Machines Using Linear Response Theory
Gamma Rhythmic Bursts: Coherence Control in Networks of Cortical Pyramidal Neurons
Multiple Diffusion Models to Compare Saccadic and Manual Responses for Inhibition of Return
Filtering of Spatial Bias and Noise Inputs by Spatially Structured Neural Networks