yusuke1997/dblp-id-title huggingface dataset:
Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
Dynamic Computational Model of the Human Spinal Cord Connectome
Analysis of Direction Selectivity Arising From Recurrent Cortical Interactions
Thermodynamically Equivalent Silicon Models of Voltage-Dependent Ion Channels
Traveling Waves in Quasi-One-Dimensional Neuronal Minicolumns
Boosting Regression Estimators
Seeing Chips: Analog VLSI Circuits for Computer Vision
Learning Dynamics of a Single Polar Variable Complex-Valued Neuron
A Computational Model for Rhythmic and Discrete Movements in Uni- and Bimanual Coordination
Classification From Positive and Biased Negative Data With Skewed Labeled Posterior Probability
Synchronization of Stochastic Competitive Neural Networks with Different Timescales and Reaction-Diffusion Terms
The Bootstrap Widrow-Hoff Rule as a Cluster-Formation Algorithm
Tangent Bundle Curve Completion with Locally Connected Parallel Networks
Bayesian Community Detection
Clustering Based on Conditional Distributions in an Auxiliary Space
Learning a Generative Model of Images by Factoring Appearance and Shape
Increased Synchrony with Increase of a Low-Threshold Calcium Conductance in a Model Thalamic Network: A Phase-Shift Mechanism
Grid Cell Percolation
A Recurrent Network Implementation of Time Series Classification
Convergence and Stability of Quantized Hopfield Networks Operating in a Fully Parallel Mode
Mechanism of Duration Perception in Artificial Brains Suggests New Model of Attentional Entrainment
An Expectation-Maximization Approach to Nonlinear Component Analysis
Spiking Neuron Model for Temporal Sequence Recognition
Decision Confidence and Uncertainty in Diffusion Models with Partially Correlated Neuronal Integrators
Robust Formulations for Training Multilayer Perceptrons
Visuotactile Representation of Peripersonal Space: A Neural Network Study
Probabilistic Synaptic Transmission in the Associative Net
Dynamical Behaviors of a Large Class of General Delayed Neural Networks
How Inhibitory Oscillations Can Train Neural Networks and Punish Competitors
Attention as Reward-Driven Optimization of Sensory Processing
Active Inference and Intentional Behavior
A Multifactor Winner-Take-All Dynamics
The Effect of NMDA Receptors on Gain Modulation
Spike-Based Probabilistic Inference in Analog Graphical Models Using Interspike-Interval Coding
Recognition by Variance: Learning Rules for Spatiotemporal Patterns
ROC-Based Estimates of Neural-Behavioral Covariations Using Matched Filters
Likelihood Methods for Point Processes with Refractoriness
Surface Interpolation Networks
Indices for Testing Neural Codes
What Causes a Neuron to Spike?
A Novel Model-Based Hearing Compensation Design Using a Gradient-Free Optimization Method
Implications of Neuronal Diversity on Population Coding
Memory Capacities for Synaptic and Structural Plasticity
Multilayer Perceptron Classification of Unknown Volatile Chemicals from the Firing Rates of Insect Olfactory Sensory Neurons and Its Application to Biosensor Design
Variation in the Local Motion Statistics of Real-Life Optic Flow Scenes
What Geometric Visual Hallucinations Tell Us about the Visual Cortex
Blind Source Separation by Sparse Decomposition in a Signal Dictionary
Uncovering Dynamical Equations of Stochastic Decision Models Using Data-Driven SINDy Algorithm
Memory States From Almost Nothing: Representing and Computing in a Nonassociative Algebra
A Learning Theorem for Networks at Detailed Stochastic Equilibrium
Parametric Inference in the Large Data Limit Using Maximally Informative Models
Fast Sigmoidal Networks via Spiking Neurons
Model Based on Extracellular Potassium for Spontaneous Synchronous Activity in Developing Retinas
Using Inspiration from Synaptic Plasticity Rules to Optimize Traffic Flow in Distributed Engineered Networks
On the Effects of Signal Acuity in a Multi-Alternative Model of Decision Making
Understanding Dynamics of Nonlinear Representation Learning and Its Application
Reverse-Engineering Neural Networks to Characterize Their Cost Functions
Period Focusing Induced by Network Feedback in Populations of Noisy Integrate-and-Fire Neurons
Boosting with Noisy Data: Some Views from Statistical Theory
Including Hints in Training Neural Nets
Analytical Derivation of Nonlinear Spectral Effects and 1/f Scaling Artifact in Signal Processing of Real-World Data
A Dynamic Neural Field Model of Multimodal Merging: Application to the Ventriloquist Effect
Synchronization in Relaxation Oscillator Networks with Conduction Delays
Recurrent Infomax Generates Cell Assemblies, Neuronal Avalanches, and Simple Cell-Like Selectivity
How Cortical Interconnectedness Varies with Network Size
Gradual Domain Adaptation via Normalizing Flows
Optimizing synaptic conductance calculation for network simulations
An Investigation of the Stochastic Hodgkin-Huxley Models Under Noisy Rate Functions
Large Margin Low Rank Tensor Analysis
SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks
Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Supervised Dimension Reduction
On Cross Validation for Model Selection
Lower Bound on VC-Dimension by Local Shattering
Universal Approximation Depth and Errors of Narrow Belief Networks with Discrete Units
Information Geometry of Interspike Intervals in Spiking Neurons
Competition and Multiple Cause Models
ReLU Networks Are Universal Approximators via Piecewise Linear or Constant Functions
On the Phase-Space Dynamics of Systems of Spiking Neurons. I: Model and Experiments
Rank-Optimized Logistic Matrix Regression toward Improved Matrix Data Classification
Leave-One-Out Bounds for Kernel Methods
Discrete Sparse Coding
Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron Data
GABA Transporter Preserving Ongoing Spontaneous Neuronal Activity at Firing Subthreshold
Fast Learning in Networks of Locally-Tuned Processing Units
A Developmental Approach Aids Motor Learning
Multisensory Bayesian Inference Depends on Synapse Maturation during Training: Theoretical Analysis and Neural Modeling Implementation
A Reflexive Neural Network for Dynamic Biped Walking Control
Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions
Auto-SOM: Recursive Parameter Estimation for Guidance of Self-Organizing Feature Maps
Nonnegative Matrix Factorization with the Itakura-Saito Divergence: With Application to Music Analysis
Population Coding with Motion Energy Filters: The Impact of Correlations
Computational Design and Nonlinear Dynamics of a Recurrent Network Model of the Primary Visual Cortex
A New Nonlinear Sparse Component Analysis for a Biologically Plausible Model of Neurons
Learning in Neural Networks with Material Synapses
On the Capacity of Threshold Adalines with Limited-Precision Weights
Parallel Activation of Memories in an Oscillatory Neural Network
The Stochastic Delta Rule: Faster and More Accurate Deep Learning Through Adaptive Weight Noise
A Bayesian Framework for Sensory Adaptation
A Variational Method for Learning Sparse and Overcomplete Representations
Multilayer Perceptron Learning Optimized for On-Chip Implementation: A Noise-Robust System
An Adaptive Lattice Architecture for Dynamic Multilayer Perceptrons
Bridging the Gap Between Neurons and Cognition Through Assemblies of Neurons
Perfect Fault Tolerance of the n-k-n Network
Simultaneous Approximations of Polynomials and Derivatives and Their Applications to Neural Networks
RST: A Connectionist Architecture To Deal With Spatiotemporal Relationships
How Noise Affects the Synchronization Properties of Recurrent Networks of Inhibitory Neurons
Storing Object-Dependent Sparse Codes in a Willshaw Associative Network
Solving Nonlinearly Separable Classifications in a Single-Layer Neural Network
What Is the Optimal Architecture for Visual Information Routing?
On Neural Associative Memory Structures: Storage and Retrieval of Sequences in a Chain of Tournaments
Activity Patterns of a Slow Synapse Network Predicted by Explicitly Averaging Spike Dynamics
Generalization of the Event-Based Carnevale-Hines Integration Scheme for Integrate-and-Fire Models
Alignment of coexisting cortical maps in a motor control model
Cognitive Enhancement Mediated Through Postsynaptic Actions of Norepinephrine on Ongoing Cortical Activity
Learning Simpler Language Models with the Differential State Framework
On the Performance of Voltage Stepping for the Simulation of Adaptive, Nonlinear Integrate-and-Fire Neuronal Networks
Distributed Symbolic Representation of Visual Shape
Analytical Model for the Effects of Learning on Spike Count Distributions
Stable encoding of large finite-state automata in recurrent neural networks with sigmoid discriminants
Polyhedral Combinatorics and Neural Networks
Adaptive Learning Algorithm Convergence in Passive and Reactive Environments
NMDA-Based Pattern Discrimination in a Modeled Cortical Neuron
Minimal Sign Representation of Boolean Functions: Algorithms and Exact Results for Low Dimensions
Minimal Spiking Neuron for Solving Multilabel Classification Tasks
Spiking Neurons and the First Passage Problem
Programmable Logic Construction Kits for Hyper-Real-Time Neuronal Modeling
Learning Population Codes by Minimizing Description Length
FIR and IIR Synapses, a New Neural Network Architecture for Time Series Modeling
A Simple Label Switching Algorithm for Semisupervised Structural SVMs
Complex Response to Periodic Inhibition In Simple and Detailed Neuronal Models
The Enhanced Rise and Delayed Fall of Memory in a Model of Synaptic Integration: Extension to Discrete State Synapses
Statistical Analysis of an Autoassociative Memory Network
Tight Data-Robust Bounds to Mutual Information Combining Shuffling and Model Selection Techniques
A Complex Cell-Like Receptive Field Obtained by Information Maximization
Efficient Event-Driven Simulation of Large Networks of Spiking Neurons and Dynamical Synapses
Inference of Multiplicative Factors Underlying Neural Variability in Calcium Imaging Data
Redundancy-Aware Pruning of Convolutional Neural Networks
Clustering Data by Melting
Kernelized Elastic Net Regularization: Generalization Bounds, and Sparse Recovery
Modeling the Surround of MT Cells and Their Selectivity for Surface Orientation in Depth Specified by Motion
SVDD-Based Pattern Denoising
Independent Components of Magnetoencephalography: Localization
Development of oriented ocular dominance bands as a consequence of areal geometry
Posterior Covariance Information Criterion for Weighted Inference
Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation
Calculation of Interspike Intervals for Integrate-and-Fire Neurons with Poisson Distribution of Synaptic Inputs
Computing and Stability in Cortical Networks
Heterogeneous Forgetting Rates and Greedy Allocation in Slot-Based Memory Networks Promotes Signal Retention
Randomized Shortest-Path Problems: Two Related Models
A Fast Algorithm for the Real-Valued Combinatorial Pure Exploration of the Multi-Armed Bandit
Scalability of Large Neural Network Simulations via Activity Tracking With Time Asynchrony and Procedural Connectivity
Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling
Associated Learning: Decomposing End-to-End Backpropagation Based on Autoencoders and Target Propagation
Hierarchical, Unsupervised Learning with Growing via Phase Transitions
The Interaction between Semantic Representation and Episodic Memory
Switching in Cerebellar Stellate Cell Excitability in Response to a Pair of Inhibitory/Excitatory Presynaptic Inputs: A Dynamical System Perspective
Comparison of the Representational Power of Random Forests, Binary Decision Diagrams, and Neural Networks
Fast Temporal Encoding and Decoding with Spiking Neurons
A "Thermal" Perceptron Learning Rule
A Master Equation Formalism for Macroscopic Modeling of Asynchronous Irregular Activity States
On neural circuits and cognition
Event-Driven Simulation of Spiking Neurons with Stochastic Dynamics
Training v -Support Vector Regression: Theory and Algorithms
Accelerating Event-Driven Simulation of Spiking Neurons with Multiple Synaptic Time Constants
Inhibition in Multiclass Classification
Relations Among Some Low-Rank Subspace Recovery Models
On Bias Plus Variance
Decorrelation by Recurrent Inhibition in Heterogeneous Neural Circuits
Integration and Differentiation in Dynamic Recurrent Neural Networks
Gradient Projection Network: Analog Solver for Linearly Constrained Nonlinear Programming
A Computer Simulation of Oscillatory Behavior in Primary Visual Cortex
Simple Deterministically Constructed Cycle Reservoirs with Regular Jumps
A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition
Repetitive Control for Multi-Joint Arm Movements Based on Virtual Trajectories
A Note on the Applied Use of MDL Approximations
What Can Neuromorphic Event-Driven Precise Timing Add to Spike-Based Pattern Recognition?
Experience-Induced Neural Circuits That Achieve High Capacity
A Study on L2-Loss (Squared Hinge-Loss) Multiclass SVM
Inhibition in Superior Colliculus Neurons in a Brightness Discrimination Task?
The VC Dimension for Mixtures of Binary Classifiers
Individual Differences in Nucleus Accumbens Dopamine Receptors Predict Development of Addiction-Like Behavior: A Computational Approach
Learning Only When Necessary: Better Memories of Correlated Patterns in Networks with Bounded Synapses
Improvements to Platt's SMO Algorithm for SVM Classifier Design
Information Processing in Dendritic Trees
GABAergic Inhibitory Control of the Transient and Sustained Components of Orientation Selectivity in a Model Microcolumn in Layer 4 of Cat Visual Cortex
Optimization in Model Matching and Perceptual Organization
Temporal Precision of Spike Trains in Extrastriate Cortex of the Behaving Macaque Monkey
Unconscious Biases in Neural Populations Coding Multiple Stimuli
On Exponential Convergence Conditions of an Extended Projection Neural Network
Exact Calculation of the Hessian Matrix for the Multilayer Perceptron
Spatiotemporal Structure in Large Neuronal Networks Detected from Cross-Correlation
Neural Mechanism to Simulate a Scale-Invariant Future
Population Dynamics of Spiking Neurons: Fast Transients, Asynchronous States, and Locking
Brain Reading Using Full Brain Support Vector Machines for Object Recognition: There Is No "Face" Identification Area
A Multichip Neuromorphic System for Spike-Based Visual Information Processing
Discovering Predictable Classifications
The Leaky Integrate-and-Fire Neuron Is a Change-Point Detector for Compound Poisson Processes
Nonlinear Optimization Using Generalized Hopfield Networks
Synergy in a Neural Code
A Unified Classification Model Based on Robust Optimization
The Use of Neural Networks in High-Energy Physics
Multiple Almost Periodic Solutions in Nonautonomous Delayed Neural Networks
Controlling Complexity of Cerebral Cortex Simulations - I: CxSystem, a Flexible Cortical Simulation Framework
Surrogate Data Methods Based on a Shuffling of the Trials for Synchrony Detection: The Centering Issue
An Invariance Property of Predictors in Kernel-Induced Hypothesis Spaces
Parameter extraction from population codes: a critical assessment
Coupling the neural and physical dynamics in rhythmic movements
Learning Optimized Features for Hierarchical Models of Invariant Object Recognition
Extended Gaussianization Method for Blind Separation of Post-Nonlinear Mixtures
Tilt Aftereffects in a Self-Organizing Model of the Primary Visual Cortex
Theoretical Considerations for the Analysis of Population Coding in Motor Cortex
Estimation of Entropy and Mutual Information
A General Likelihood Framework for Characterizing the Time Course of Neural Activity
Multiple Spectral Kernel Learning and a Gaussian Complexity Computation
Rule Extraction from Recurrent Neural Networks: A Taxonomy and Review
Subdiffusive Dynamics of Bump Attractors: Mechanisms and Functional Roles
Arithmetic Perceptrons
On the Mathematical Consequences of Binning Spike Trains
A Dynamic Neural Gradient Model of Two-Item and Intermediate Transposition
Prediction Games and Arcing Algorithms
Multilabel Classification with Principal Label Space Transformation
Temporal Difference Model Reproduces Anticipatory Neural Activity
Lag Synchronization Criteria for Memristor-Based Coupled Neural Networks via Parameter Mismatches Analysis Approach
Response Properties of an Integrate-and-Fire Model That Receives Subthreshold Inputs
Feature Extraction Using an Unsupervised Neural Network
Lateral Neural Model of Binocular Rivalry
GP-Select: Accelerating EM Using Adaptive Subspace Preselection
Spike Train Decoding Without Spike Sorting
The Tensor Brain: A Unified Theory of Perception, Memory, and Semantic Decoding
Sequential Activity in Asymmetrically Coupled Winner-Take-All Circuits
A Practical Bayesian Framework for Backpropagation Networks
Spiking Neural P Systems with Thresholds
Nonlinear Modeling of Neural Interaction for Spike Prediction Using the Staged Point-Process Model
Modeling Stereopsis via Markov Random Field
The Shape of Neural Dependence
Analytical Calculation of Mutual Information between Weakly Coupled Poisson-Spiking Neurons in Models of Dynamically Gated Communication
Chaotic Resonance in Coupled Inferior Olive Neurons with the Llinás Approach Neuron Model
Compensatory mechanisms in an attractor neural network model of schizophrenia
Learning Only on Boundaries: A Physics-Informed Neural Operator for Solving Parametric Partial Differential Equations in Complex Geometries
The Bayesian Evidence Scheme for Regularizing Probability-Density Estimating Neural Networks
Theory and Algorithms for Shapelet-Based Multiple-Instance Learning
Bayesian Inference and Online Learning in Poisson Neuronal Networks
Spike-Driven Synaptic Dynamics Generating Working Memory States
The Functional Segregation and Integration Model: Mixture Model Representations of Consistent and Variable Group-Level Connectivity in fMRI
Scaling Laws of Associative Memory Retrieval
The Joint Development of Orientation and Ocular Dominance: Role of Constraints
A (Somewhat) New Solution to the Variable Binding Problem
Multi-Input, Multi-Output Neuronal Mode Network Approach to Modeling the Encoding Dynamics and Functional Connectivity of Neural Systems
Boosted Mixture Of Experts: An Ensemble Learning Scheme
Relating Real-Time Backpropagation and Backpropagation-Through-Time: An Application of Flow Graph Interreciprocity
Adaptive Calibration of Imaging Array Detectors
Scalable Variational Inference for Low-Rank Spatiotemporal Receptive Fields
Cortical Potential Distributions and Information Processing
Modulation of Context-Dependent Spatiotemporal Patterns within Packets of Spiking Activity
Analyzing Holistic Parsers: Implications for Robust Parsing and Systematicity
A Mathematical Motivation for Complex-Valued Convolutional Networks
Hypothesis Test and Confidence Analysis With Wasserstein Distance on General Dimension
Stimulus Competition by Inhibitory Interference
An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing
Different Paradigms for Choosing Sequential Reweighting Algorithms
Causality in Linear Nongaussian Acyclic Models in the Presence of Latent Gaussian Confounders
A Mathematical Analysis of Memory Lifetime in a Simple Network Model of Memory
Patterns of functional damage in neural network models of associative memory
A Mechanism for Neuronal Gain Control by Descending Pathways
Gradient Descent with Identity Initialization Efficiently Learns Positive-Definite Linear Transformations by Deep Residual Networks
Learning Data Manifolds with a Cutting Plane Method
Simulations of a Reconstructed Cerebellar Purkinje Cell Based on Simplified Channel Kinetics
Sophisticated Inference
Intrinsic Rewards for Exploration Without Harm From Observational Noise: A Simulation Study Based on the Free Energy Principle
Some Sampling Properties of Common Phase Estimators
Bounded Rational Decision Networks With Belief Propagation
The Limiting Dynamics of SGD: Modified Loss, Phase-Space Oscillations, and Anomalous Diffusion
On the Simulation of Nonlinear Bidimensional Spiking Neuron Models
How precise is neuronal synchronization?
Attention-Gated Reinforcement Learning of Internal Representations for Classification
Incremental Active Learning for Optimal Generalization
Neuronal Bases of Perceptual Learning Revealed by a Synaptic Balance Scheme
Delay Differential Analysis of Seizures in Multichannel Electrocorticography Data
Semisupervised Deep Stacking Network with Adaptive Learning Rate Strategy for Motor Imagery EEG Recognition
Support Vector Ordinal Regression
NMDA Receptor Alterations After Mild Traumatic Brain Injury Induce Deficits in Memory Acquisition and Recall
A Robust Regression Framework with Laplace Kernel-Induced Loss
The Functional Role of Excitatory and Inhibitory Interactions in Chopper Cells of the Anteroventral Cochlear Nucleus
The Effect of Class Imbalance on Precision-Recall Curves
A Simple Derivation of a Bound on the Perceptron Margin Using Singular Value Decomposition
Shaping Dynamics With Multiple Populations in Low-Rank Recurrent Networks
Neuronal tuning: To Sharpen or Broaden?
Blind Source Separation Using Temporal Predictability
Learning Perceptually Salient Visual Parameters Using Spatiotemporal Smoothness Constraints
Independently Interpretable Lasso for Generalized Linear Models
Functional Periodic Intracortical Couplings Induced by Structured Lateral Inhibition in a Linear Cortical Network
A New Hypothesis for Sleep: Tuning for Criticality
A Classification Paradigm for Distributed Vertically Partitioned Data
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
Subsampled Hessian Newton Methods for Supervised Learning
Adaptive Hybrid Learning for Neural Networks
Transformer Models for Signal Processing: Scaled Dot-Product Attention Implements Constrained Filtering
Temporal Causal Inference with Time Lag
Statistical Properties of Color Matching Functions
Measure of Correlation Orthogonal to Change in Firing Rate
Random Neural Networks with Multiple Classes of Signals
The Time-Organized Map Algorithm: Extending the Self-Organizing Map to Spatiotemporal Signals
Strongly Improved Stability and Faster Convergence of Temporal Sequence Learning by Using Input Correlations Only
Efficient Simplex-Like Methods for Equilibria of Nonsymmetric Analog Networks
Lifelong Classification in Open World With Limited Storage Requirements
Dynamics of Populations of Integrate-and-Fire Neurons, Partial Synchronization and Memory
Spiking Neural Classifier with Lumped Dendritic Nonlinearity and Binary Synapses: A Current Mode VLSI Implementation and Analysis
Learning Bounds for Kernel Regression Using Effective Data Dimensionality
Synaptic Runaway In Associative Networks And The Pathogenesis Of Schizophrenia
Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise
Functional Network Topology Learning and Sensitivity Analysis Based on ANOVA Decomposition
Restricted Boltzmann Machines as Models of Interacting Variables
On the Maximization of Information Flow Between Spiking Neurons
How to Solve the N Bit Encoder Problem with Just Two Hidden Units
Efficient Hyperdimensional Computing With Spiking Phasors
Correlated Firing Improves Stimulus Discrimination in a Retinal Model
Synaptic and Temporal Ensemble Interpretation of Spike-Timing-Dependent Plasticity
Every Local Minimum Value Is the Global Minimum Value of Induced Model in Nonconvex Machine Learning
A Gaussian Attractor Network for Memory and Recognition with Experience-Dependent Learning
Learning with Boundary Conditions
STICK: Spike Time Interval Computational Kernel, a Framework for General Purpose Computation Using Neurons, Precise Timing, Delays, and Synchrony
Novel Perceptually Uniform Chromatic Space
How Many Clusters? An Information-Theoretic Perspective
Neural Network Classifiers Estimate Bayesian a posteriori Probabilities
Variational Bayesian Learning of ICA with Missing Data
Attractor Dynamics in Feedforward Neural Networks
How Optimal Stimuli for Sensory Neurons Are Constrained by Network Architecture
TruthSift: A Platform for Collective Rationality