yusuke1997/dblp-id-title huggingface dataset:
1D Current Source Density (CSD) Estimation in Inverse Theory: A Unified Framework for Higher-Order Spectral Regularization of Quadrature and Expansion-Type CSD Methods
Hebbian Plasticity and Homeostasis in a Model of Hypercolumn of the Visual Cortex
A Multiple Cause Mixture Model for Unsupervised Learning
Improved Similarity Measures for Small Sets of Spike Trains
A Winner-Take-All Mechanism Based on Presynaptic Inhibition Feedback
KLIF: An Optimized Spiking Neuron Unit for Tuning Surrogate Gradient Function
State-Space Representations of Deep Neural Networks
Human Eyes-Inspired Recurrent Neural Networks Are More Robust Against Adversarial Noises
Applying the Multivariate Time-Rescaling Theorem to Neural Population Models
An Internal Model for Acquisition and Retention of Motor Learning During Arm Reaching
Models of orientation and ocular dominance columns in the visual cortex: a critical comparison
Emergence of Content-Agnostic Information Processing by a Robot Using Active Inference, Visual Attention, Working Memory, and Planning
Dynamical Mechanism of Sampling-Based Probabilistic Inference Under Probabilistic Population Codes
A Parallel Dual Matrix Method for Blind Signal Separation
Efficient Training of Artificial Neural Networks for Autonomous Navigation
Toward a Kernel-Based Uncertainty Decomposition Framework for Data and Models
Gradient-Based Adaptation of General Gaussian Kernels
A Modified Quickprop Algorithm
Algebraic Analysis for Nonidentifiable Learning Machines
On Connectedness: A Solution Based on Oscillatory Correlation
Precision and Approximate Flatness in Artificial Neural Networks
Biologically Plausible Error-Driven Learning Using Local Activation Differences: The Generalized Recirculation Algorithm
Learning Polychronous Neuronal Groups Using Joint Weight-Delay Spike-Timing-Dependent Plasticity
A Signal-Flow-Graph Approach to On-line Gradient Calculation
A Theoretical Basis for Emergent Pattern Discrimination in Neural Systems Through Slow Feature Extraction
Distinguishing the Causes of Firing with the Membrane Potential Slope
A Distributed Computing Tool for Generating Neural Simulation Databases
Optimizing the Representation of Orientation Preference Maps in Visual Cortex
Mechanisms Shaping Fast Excitatory Postsynaptic Currents in the Central Nervous System
Sparseness, Antisparseness and Anything in Between: The Operating Point of a Neuron Determines Its Computational Repertoire
Deep, Big, Simple Neural Nets for Handwritten Digit Recognition
Practical Identifiability of Finite Mixtures of Multivariate Bernoulli Distributions
An Information-Based Neural Approach to Constraint Satisfaction
Learning the Initial State of a Second-Order Recurrent Neural Network during Regular-Language Inference
Controlling the Magnification Factor of Self-Organizing Feature Maps
Simultaneous Multichannel Signal Transfers via Chaos in a Recurrent Neural Network
A Chimera Model for Motion Anticipation in the Retina and the Primary Visual Cortex
Shape Quantization And Recognition With Randomized Trees
Encoding Binary Neural Codes in Networks of Threshold-Linear Neurons
A Neural Network for the Processing of Optic Flow from Ego-Motion in Man and Higher Mammals
Interspike Interval Statistics in the Stochastic Hodgkin-Huxley Model: Coexistence of Gamma Frequency Bursts and Highly Irregular Firing
Measuring the VC-Dimension Using Optimized Experimental Design
Two Computational Regimes of a Single-Compartment Neuron Separated by a Planar Boundary in Conductance Space
Gamma Oscillations and Stimulus Selection
Tonically Balancing Intracortical Excitation and Inhibition by GABAergic Gliotransmission
Unsupervised 2D Dimensionality Reduction with Adaptive Structure Learning
Generating Spike Trains with Specified Correlation Coefficients
Asymptotic Behavior and Synchronizability Characteristics of a Class of Recurrent Neural Networks
On the Continuous Differentiability of Inter-Spike Intervals of Synaptically Connected Cortical Spiking Neurons in a Neuronal Network
First Passage Time Memory Lifetimes for Simple, Multistate Synapses: Beyond the Eigenvector Requirement
Complexity Issues in Natural Gradient Descent Method for Training Multi-Layer Perceptrons
Exact Subthreshold Integration with Continuous Spike Times in Discrete-Time Neural Network Simulations
Deep Belief Networks Are Compact Universal Approximators
Bias/Variance Analyses of Mixtures-of-Experts Architectures
Probability of Repeating Patterns in Simultaneous Neural Data
Geometrical Computations Explain Projection Patterns of Long-Range Horizontal Connections in Visual Cortex
The Upstart Algorithm: A Method for Constructing and Training Feedforward Neural Networks
Encoding Through Patterns: Regression Tree-Based Neuronal Population Models
Adaptive Algorithm for Blind Separation from Noisy Time-Varying Mixtures
Binding Hierarchies: A Basis for Dynamic Perceptual Grouping
Random Neural Networks with Negative and Positive Signals and Product Form Solution
Neural Relax
Vapnik-Chervonenkis Dimension Bounds for Two- and Three-Layer Networks
Solving Stereo Transparency with an Extended Coarse-to-Fine Disparity Energy Model
Convergence Properties of Learning in ART1
On Firing Rate Estimation for Dependent Interspike Intervals
Information-Geometric Measures as Robust Estimators of Connection Strengths and External Inputs
Fast Exact Multiplication by the Hessian
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding Model
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure
Hidden Markov Models for the Stimulus-Response Relationships of Multistate Neural Systems
Combining Feature- and Correspondence-Based Methods for Visual Object Recognition
Estimating Spiking Irregularities Under Changing Environments
Bayesian Population Decoding of Motor Cortical Activity Using a Kalman Filter
Can Hebbian Volume Learning Explain Discontinuities in Cortical Maps?
Information-Based Objective Functions for Active Data Selection
Modeling Reverse-Phi Motion-Selective Neurons in Cortex: Double Synaptic-Veto Mechanism
Intrinsic Graph Structure Estimation Using Graph Laplacian
Exact Simulation of Integrate-and-Fire Models with Exponential Currents
A General Framework for Dimensionality-Reducing Data Visualization Mapping
Adaptive Classification of Temporal Signals in Fixed-Weight Recurrent Neural Networks: An Existence Proof
Nearly Extensive Sequential Memory Lifetime Achieved by Coupled Nonlinear Neurons
Refining PID Controllers Using Neural Networks
Event-Driven Simulations of Nonlinear Integrate-and-Fire Neurons
Filtering Compensation for Delays and Prediction Errors during Sensorimotor Control
Temporal-to Rate-Code Conversion by Neuronal Phase-Locked Loops
What Is the Relation Between Slow Feature Analysis and Independent Component Analysis?
Dependency Reduction with Divisive Normalization: Justification and Effectiveness
Efficient Computation and Model Selection for the Support Vector Regression
Hierarchical Bayesian Models for Regularization in Sequential Learning
Patterns of Local Connectivity in the Neocortex
New Perceptron Model Using Random Bitstreams
Error Entropy in Classification Problems: A Univariate Data Analysis
Learning Quadratic Receptive Fields from Neural Responses to Natural Stimuli
Efficient Associative Computation with Discrete Synapses
The Actor-Critic Learning Is Behind the Matching Law: Matching Versus Optimal Behaviors
Input-Anticipating Critical Reservoirs Show Power Law Forgetting of Unexpected Input Events
Computing with a Canonical Neural Circuits Model with Pool Normalization and Modulating Feedback
Training Spiking Neural Networks in the Strong Coupling Regime
A Moving Bump in a Continuous Manifold: A Comprehensive Study of the Tracking Dynamics of Continuous Attractor Neural Networks
Selective Population Rate Coding: A Possible Computational Role of Gamma Oscillations in Selective Attention
Center Manifold Analysis of Plateau Phenomena Caused by Degeneration of Three-Layer Perceptron
Tracking Fast and Slow Changes in Synaptic Weights From Simultaneously Observed Pre- and Postsynaptic Spiking
Margin Error Bounds for Support Vector Machines on Reproducing Kernel Banach Spaces
Feature Extraction of Surface Electromyography Based on Improved Small-World Leaky Echo State Network
Brain Morphometry Methods for Feature Extraction in Random Subspace Ensemble Neural Network Classification of First-Episode Schizophrenia
An On-line Agglomerative Clustering Method for Non-Stationary Data
Adaptive Voting Rules for k -Nearest Neighbors Classifiers
A Note on Divergences
Vapnik-Chervonenkis Generalization Bounds for Real Valued Neural Networks
Categorization of Neural Excitability Using Threshold Models
Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy
Linearization of F-I Curves by Adaptation
Efficient Nonnegative Matrix Factorization by DC Programming and DCA
Differential Dopamine Receptor-Dependent Sensitivity Improves the Switch Between Hard and Soft Selection in a Model of the Basal Ganglia
Combined Learning and Use for a Mixture Model Equivalent to the RBF Classifier
Mean, Variance, and Autocorrelation of Subthreshold Potential Fluctuations Driven by Filtered Conductance Shot Noise
On the Information Storage Capacity of Local Learning Rules
Error Analysis of Coefficient-Based Regularized Algorithm for Density-Level Detection
Dynamics of Nonlinear Feedback Control
Optimization and Learning With Randomly Compressed Gradient Updates
Large-Scale Linear RankSVM
A New Concept for Separability Problems in Blind Source Separation
Multiassociative Memory: Recurrent Synapses Increase Storage Capacity
Role of Interaction Delays in the Synchronization of Inhibitory Networks
Boosting Method for Local Learning in Statistical Pattern Recognition
Seeing Beyond the Nyquist Limit
A Constrained EM Algorithm for Principal Component Analysis
Comparison of Different Spike Train Synchrony Measures Regarding Their Robustness to Erroneous Data From Bicuculline-Induced Epileptiform Activity
Design and Analysis of Closed-Loop Decoder Adaptation Algorithms for Brain-Machine Interfaces
Fast Curvature Matrix-Vector Products for Second-Order Gradient Descent
An Optimal Feedback Control Framework for Grasping Objects with Position Uncertainty
Population Computation of Vectorial Transformations
Memory Encoding by Theta Phase Precession in the Hippocampal Network
Convergence Analysis of Three Classes of Split-Complex Gradient Algorithms for Complex-Valued Recurrent Neural Networks
Synchronous Firing and Higher-Order Interactions in Neuron Pool
Predictive Coding Model Detects Novelty on Different Levels of Representation Hierarchy
Simulations of Intrinsically Bursting Neocortical Pyramidal Neurons
DEA: An Architecture for Goal Planning and Classification
Direct Estimation of Inhomogeneous Markov Interval Models of Spike Trains
Free-Lunch Learning: Modeling Spontaneous Recovery of Memory
Chemosensor-Driven Artificial Antennal Lobe Transient Dynamics Enable Fast Recognition and Working Memory
An EM Algorithm for Capsule Regression
Cell Responsiveness in Macaque Superior Temporal Polysensory Area Measured by Temporal Discriminants
Block Clustering Based on Difference of Convex Functions (DC) Programming and DC Algorithms
Properties of Synergies Arising from a Theory of Optimal Motor Behavior
Rewiring-Induced Chaos in Pulse-Coupled Neural Networks
Kernel Projection Classifiers with Suppressing Features of Other Classes
The Competing Benefits of Noise and Heterogeneity in Neural Coding
A Mathematical Analysis of the Effects of Hebbian Learning Rules on the Dynamics and Structure of Discrete-Time Random Recurrent Neural Networks
Decorrelation of Spiking Variability and Improved Information Transfer Through Feedforward Divisive Normalization
Model Based or Model Free? Comparing Adaptive Methods for Estimating Thresholds in Neuroscience
Effects of Small-World Rewiring Probability and Noisy Synaptic Conductivity on Slow Waves: Cortical Network
An Algebraic Framework to Represent Finite State Machines in Single-Layer Recurrent Neural Networks
Self-Organization in the Basal Ganglia with Modulation of Reinforcement Signals
Bandit-Based Task Assignment for Heterogeneous Crowdsourcing
Learning Linear Threshold Approximations Using Perceptrons
Learning Complex, Extended Sequences Using the Principle of History Compression
Attention in a Family of Boltzmann Machines Emerging From Modern Hopfield Networks
Limited Stochastic Meta-Descent for Kernel-Based Online Learning
Computing with Continuous Attractors: Stability and Online Aspects
Stimulus-Driven and Spontaneous Dynamics in Excitatory-Inhibitory Recurrent Neural Networks for Sequence Representation
Construction of Minimal n- 2 -n Encoders for Any n
Bias/Variance Decompositions for Likelihood-Based Estimators
Noise Facilitation in Associative Memories of Exponential Capacity
Including Long-Range Dependence in Integrate-and-Fire Models of the High Interspike-Interval Variability of Cortical Neurons
A Method for Selecting the Bin Size of a Time Histogram
A Subjective Distance Between Stimuli: Quantifying the Metric Structure of Representations
Modal Principal Component Analysis
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning the Gestalt Rule of Collinearity from Object Motion
Modeling the Ventral and Dorsal Cortical Visual Pathways Using Artificial Neural Networks
Evaluation of Trajectory Planning Models for Arm-Reaching Movements Based on Energy Cost
Type I and Type II Neuron Models Are Selectively Driven by Differential Stimulus Features
Robust L1 Principal Component Analysis and Its Bayesian Variational Inference
Optimal Plasticity from Matrix Memories: What Goes Up Must Come Down
On Neural Network Kernels and the Storage Capacity Problem
Redundancy Reduction as a Strategy for Unsupervised Learning
Estimating a State-Space Model from Point Process Observations
Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons
Representation and Extrapolation in Multilayer Perceptrons
Testing for and Estimating Latency Effects for Poisson and Non-Poisson Spike Trains
A perceptron reveals the face of sex
RSPOP: Rough Set-Based Pseudo Outer-Product Fuzzy Rule Identification Algorithm
Use of an Artificial Neural Network for Data Analysis in Clinical Decision-Making: The Diagnosis of Acute Coronary Occlusion
Learning Object Representations Using A Priori Constraints Within ORASSYLL
Event-Driven Simulation Scheme for Spiking Neural Networks Using Lookup Tables to Characterize Neuronal Dynamics
Modeling the Role of Contour Integration in Visual Inference
Effects of Fast Presynaptic Noise in Attractor Neural Networks
A Sensorimotor Map: Modulating Lateral Interactions for Anticipation and Planning
Robust Boosting Algorithm Against Mislabeling in Multiclass Problems
Simple Convolutional-Based Models: Are They Learning the Task or the Data?
Greedy Learning of Multiple Objects in Images Using Robust Statistics and Factorial Learning
Analog versus discrete neural networks
Image Segmentation by Networks of Spiking Neurons
Soft Mixer Assignment in a Hierarchical Generative Model of Natural Scene Statistics
Improving Recall in Sparse Associative Memories That Use Neurogenesis
Convergence of the IRWLS Procedure to the Support Vector Machine Solution
Handwritten Digit Recognition Using K Nearest-Neighbor, Radial-Basis Function, and Backpropagation Neural Networks
Analysis of EEG Data Using Complex Geometric Structurization
Sequential Fixed-Point ICA Based on Mutual Information Minimization
Learning Spatial Invariance with the Trace Rule in Nonuniform Distributions
Paradigmatic Working Memory (Attractor) Cell in IT Cortex
Hierarchical Control Using Networks Trained with Higher-Level Forward Models
A Model of Invariant Object Recognition in the Visual System: Learning Rules, Activation Functions, Lateral Inhibition, and Information-Based Performance Measures
Dynamics of Learning Near Singularities in Layered Networks
On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source Mixtures
Unsupervised Mutual Information Criterion for Elimination of Overtraining in Supervised Multilayer Networks
Design Strategies for Weight Matrices of Echo State Networks
A Neighborhood-Based Enhancement of the Gauss-Newton Bayesian Regularization Training Method
Subspace Information Criterion for Model Selection
Part Segmentation for Object Recognition
Diffusive Feedback Influences on Hierarchical Information Processing
Optimality Model of Unsupervised Spike-Timing-Dependent Plasticity: Synaptic Memory and Weight Distribution
An FPGA Implementation of Deep Spiking Neural Networks for Low-Power and Fast Classification
First-Spike Latency in the Presence of Spontaneous Activity
Convex Potentials and their Conjugates in Analog Mean-Field Optimization
Beyond Backpropagation: Bilevel Optimization Through Implicit Differentiation and Equilibrium Propagation
Regularization Theory and Neural Networks Architectures
Information-Geometric Measures for Estimation of Connection Weight Under Correlated Inputs
How to Generate Ordered Maps by Maximizing the Mutual Information between Input and Output Signals
Multiunit Normalized Cross Correlation Differs From The Average Single Unit Normalized Correlation
A Neural Network Modell of Temporal Code Generation and Position Invariant Pattern Recognition
A Discrete-Time Neurodynamic Approach to Sparsity-Constrained Nonnegative Matrix Factorization
An Upper Bound on the Minimum Number of Monomials Required to Separate Dichotomies of {-1, 1} n
How Sample Paths of Leaky Integrate-and-Fire Models Are Influenced by the Presence of a Firing Threshold
Multibranch Formal Neuron: An Internally Nonlinear Learning Unit
Feature-Based Attention by Lateral Spike Synchronization
Extended Robust Support Vector Machine Based on Financial Risk Minimization
Combining Exploratory Projection Pursuit and Projection Pursuit Regression with Application to Neural Networks
Impact of Correlated Inputs on the Output of the Integrate-and-Fire Model
Energy efficient neural codes
On-line EM Algorithm for the Normalized Gaussian Network
Rule-Based Neural Networks for Classification and Probability Estimation
Dynamic Modeling of Spike Count Data With Conway-Maxwell Poisson Variability
No Free Lunch for Cross-Validation
Self-Organizing Maps with Asymmetric Neighborhood Function
A Novel Parameter Estimation Method for Boltzmann Machines
Using Bottlenecks in Feedforward Networks as a Dimension Reduction Technique: An Application to Optimization Tasks
Active Data Collection for Efficient Estimation and Comparison of Nonlinear Neural Models
On the Mechanisms Underlying Directional Selectivity
Noise Robust Projection Rule for Klein Hopfield Neural Networks
Structural Intervention Distance for Evaluating Causal Graphs
Nested-Clique Network Model of Neural Associative Memory
Detecting Synchronous Cell Assemblies with Limited Data and Overlapping Assemblies
Attractor Networks for Shape Recognition
Comparing Classification Methods for Longitudinal fMRI Studies
Stochastic Perturbation Methods for Spike-Timing-Dependent Plasticity
A Silicon Model Of Auditory Localization
Neuronal Population Decoding Explains the Change in Signal Detection Sensitivity Caused by Task-Irrelevant Perceptual Bias
Tensor Least Angle Regression for Sparse Representations of Multidimensional Signals
Attractor Reliability Reveals Deterministic Structure in Neuronal Spike Trains
Stochastic Trapping in a Solvable Model of On-Line Independent Component Analysis
Multiplicative Updates for Nonnegative Quadratic Programming
Correlations and Population Dynamics in Cortical Networks
Self-Organizing Dual Coding Based on Spike-Time-Dependent Plasticity
The Hippocampus as a Stable Memory Allocator for Cortex
Stochastic Optimal Control and Estimation Methods Adapted to the Noise Characteristics of the Sensorimotor System
Ordering of Self-Organizing Maps in Multi-Dimensional Cases
Mirror Descent of Hopfield Model
Optimization of the Kernel Functions in a Probabilistic Neural Network Analyzing the Local Pattern Distribution
Salient Slices: Improved Neural Network Training and Performance with Image Entropy
Optimal Sequential Detection of Stimuli from Multiunit Recordings Taken in Densely Populated Brain Regions
A Homomorphic Neural Network for Modeling and Prediction
CosMIC: A Consistent Metric for Spike Inference from Calcium Imaging
Clique-Based Neural Associative Memories with Local Coding and Precoding
Metacognitive Learning in a Fully Complex-Valued Radial Basis Function Neural Network
Estimating Entropy Rates with Bayesian Confidence Intervals
Training a Single Sigmoidal Neuron Is Hard
Messages of Oscillatory Correlograms: A Spike Train Model
Neuronal Responses Below Firing Threshold for Subthreshold Cross-Modal Enhancement
Dynamical Working Memory and Timed Responses: The Role of Reverberating Loops in the Olivo-Cerebellar System
Stability of Localized Patterns in Neural Fields
Deterministic Neural Classification
Modeling Neuronal Assemblies: Theory and Implementation
Integrate-and-Fire Neurons Driven by Correlated Stochastic Input
Training Recurrent Networks by Evolino
The Exact VC Dimension of the WiSARD n-Tuple Classifier
Exploring Latent Structure of Mixture ICA Models by the Minimum ß-Divergence Method
Image Segmentation Based on Oscillatory Correlation
First Passage Time Memory Lifetimes for Simple, Multistate Synapses
Learning Competition and Cooperation
A Reinforcement Learning Approach to Online Clustering
Convolution-Based Model-Solving Method for Three-Dimensional, Unsteady, Partial Differential Equations
Using Bayes' Rule to Model Multisensory Enhancement in the Superior Colliculus
The Development of an Information Criterion for Change-Point Analysis
Relation Between Retinotopical and Orientation Maps in Visual Cortex
Population Coding and Decoding in a Neural Field: A Computational Study
An Initialization Method Based on Hybrid Distance for k -Means Algorithm
A Biological Gradient Descent for Prediction Through a Combination of STDP and Homeostatic Plasticity
Mean Field and Capacity in Realistic Networks of Spiking Neurons Storing Sparsely Coded Random Memories
A Mechanism for Synaptic Copy Between Neural Circuits
Ergodicity of Spike Trains: When Does Trial Averaging Make Sense?
Spiking Neural P Systems with Weights
Dynamical Analysis of Bayesian Inference Models for the Eriksen Task
Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors
Computing with Populations of Monotonically Tuned Neurons
Training with Noise is Equivalent to Tikhonov Regularization
Sparse-Coding Variational Autoencoders
On Convergence Properties of the EM Algorithm for Gaussian Mixtures
The Diabolo Classifier
Modeling Slowly Bursting Neurons via Calcium Store and Voltage-Independent Calcium Current
Identification of Multiple-Input Systems with Highly Coupled Inputs: Application to EMG Prediction from Multiple Intracortical Electrodes
A Simple Common Contexts Explanation For The Development Of Abstract Letter Identities
Model Selection for Convolutive ICA with an Application to Spatiotemporal Analysis of EEG
Natural Gradient Learning Algorithms for RBF Networks
A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data
Fixed-Time Stable Neurodynamic Flow to Sparse Signal Recovery via Nonconvex L1-β2-Norm
A Phase Model of Temperature-Dependent Mammalian Cold Receptors
Using Visual Latencies to Improve Image Segmentation
Dopamine, Inference, and Uncertainty
Phase Coupling in Simulated Chains of Coupled Oscillators Representing the Lamprey Spinal Cord
Discovering Functional Neuronal Connectivity from Serial Patterns in Spike Train Data
Neural Dynamics, Bifurcations, and Firing Rates in a Quadratic Integrate-and-Fire Model with a Recovery Variable. I: Deterministic Behavior
Statistical Independence and Novelty Detection with Information Preserving Nonlinear Maps
Analyzing Functional Connectivity Using a Network Likelihood Model of Ensemble Neural Spiking Activity
On Optimality in Auditory Information Processing
Generation of Optimal Artificial Neural Networks Using a Pattern Search Algorithm: Application to Approximation of Chemical Systems
Memristor Models for Machine Learning