yusuke1997/dblp-id-title huggingface dataset:
An Ongoing Subthreshold Neuronal State Established Through Dynamic Coassembling of Cortical Cells
Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI
Computation With Sequences of Assemblies in a Model of the Brain
Edgeworth-Expanded Gaussian Mixture Density Modeling
Acetylcholine and Learning in a Cortical Associative Memory
Excitation-Inhibition Balance Controls Synchronization in a Simple Model of Coupled Phase Oscillators
A Neural Network for Coding of Trajectories by Time Series of Neuronal Population Vectors
Robust Clustering Method in the Presence of Scattered Observations
Neural Networks and Nonlinear Adaptive Filtering: Unifying Concepts and New Algorithms
Predictability, Complexity, and Learning
Cocaine Use Prediction With Tensor-Based Machine Learning on Multimodal MRI Connectome Data
On "Natural" Learning and Pruning in Multilayered Perceptrons
Characterizing Responses of Translation-Invariant Neurons to Natural Stimuli: Maximally Informative Invariant Dimensions
Maximum Likelihood Decoding of Neuronal Inputs from an Interspike Interval Distribution
Reinforcement Learning of Two-Joint Virtual Arm Reaching in a Computer Model of Sensorimotor Cortex
Characterization of Subthreshold Voltage Fluctuations in Neuronal Membranes
Neuronal Algorithms That Detect the Temporal Order of Events
Representation Sharpening Can Explain Perceptual Priming
A Simulation Study Investigating the Impact of Dendritic Morphology and Synaptic Topology on Neuronal Firing Patterns
Relationships Between the A Priori and A Posteriori Errors in Nonlinear Adaptive Neural Filters
Probabilistic Independence Networks for Hidden Markov Probability Models
Functional Diversity in the Retina Improves the Population Code
Feature Selection for Ordinal Text Classification
Balanced Crossmodal Excitation and Inhibition Essential for Maximizing Multisensory Gain
Simultaneous Estimation of Nongaussian Components and Their Correlation Structure
A Monte Carlo Metropolis-Hastings Algorithm for Sampling from Distributions with Intractable Normalizing Constants
A Correspondence Between Normalization Strategies in Artificial and Biological Neural Networks
Synthesis of Generalized Algorithms for the Fast Computation of Synaptic Conductances with Markov Kinetic Models in Large Network Simulations
Fully Convolutional Network-Based Multifocus Image Fusion
Principles and Typical Computational Limitations of Sparse Speaker Separation Based on Deterministic Speech Features
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation
Discontinuities in Recurrent Neural Networks
Imposing Biological Constraints onto an Abstract Neocortical Attractor Network Model
Reduction of Conductance-Based Models with Slow Synapses to Neural Nets
On an Unsupervised Learning Rule for Scalar Quantization following the Maximum Entropy Principle
Memory Stacking in Hierarchical Networks
EEG-fMRI Fusion of Paradigm-Free Activity Using Kalman Filtering
Asymptotic Properties of the Fisher Kernel
Asymptotic Convergence Properties of the EM Algorithm for Mixture of Experts
A Minimum Free Energy Model of Motor Learning
Firing Rate Models as Associative Memory: Synaptic Design for Robust Retrieval
A Neural Network Model for the Acquisition of a Spatial Body Scheme Through Sensorimotor Interaction
A New Color 3D SFS Methodology Using Neural-Based Color Reflectance Models and Iterative Recursive Method
A Noise-Based Novel Strategy for Faster SNN Training
Blind Separation of Positive Sources by Globally Convergent Gradient Search
Synchronized Firings in the Networks of Class 1 Excitable Neurons with Excitatory and Inhibitory Connections and Their Dependences on the Forms of Interactions
Any Target Function Exists in a Neighborhood of Any Sufficiently Wide Random Network: A Geometrical Perspective
A Single, Continuously Applied Control Policy for Modeling Reaching Movements with and without Perturbation
Spike Train Probability Models for Stimulus-Driven Leaky Integrate-and-Fire Neurons
Computational Predictions on the Receptive Fields and Organization of V2 for Shape Processing
Feedforward Neural Network Construction Using Cross Validation
Predicting the Existence and Stability of Phase-Locked Mode in Neural Networks Using Generalized Phase-Resetting Curve
Nonconvergence in Logistic and Poisson Models for Neural Spiking
Learning Korobov Functions by Correntropy and Convolutional Neural Networks
Learning Classification in the Olfactory System of Insects
Adaptive Mixtures of Probabilistic Transducers
Rules and Variables in Neural Nets
On the Compressive Power of Autoencoders With Linear and ReLU Activation Functions
Dethroning the Fano Factor: A Flexible, Model-Based Approach to Partitioning Neural Variability
Learning to Forget: Continual Prediction with LSTM
Spiking Neural Network Pressure Sensor
Convex Coupled Matrix and Tensor Completion
Motion-Based Prediction Is Sufficient to Solve the Aperture Problem
The Concave-Convex Procedure
Analysis of the Effects of Noise on a Model for the Neural Mechanism of Short-Term Active Memory
Effects of Input Synchrony on the Firing Rate of a Three-Conductance Cortical Neuron Model
Robust Regression with Asymmetric Heavy-Tail Noise Distributions
The Basal Ganglia and Cortex Implement Optimal Decision Making Between Alternative Actions
Shared and Specific Independent Components Analysis for Between-Group Comparison
Convergent Algorithm for Sensory Receptive Field Development
Theoretical and Experimental Analyses of Tensor-Based Regression and Classification
Expanding NEURON's Repertoire of Mechanisms with NMODL
Multiview Bayesian Correlated Component Analysis
Neural Correlation via Random Connections
Learning Rule of Homeostatic Synaptic Scaling: Presynaptic Dependent or Not
Invariant Object Recognition and Pose Estimation with Slow Feature Analysis
A Comparison of Some Error Estimates for Neural Network Models
Decision-Theoretic Saliency: Computational Principles, Biological Plausibility, and Implications for Neurophysiology and Psychophysics
Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Modeling of Multiway Data on Graphs
Closed-Loop Deep Learning: Generating Forward Models With Backpropagation
A Multimodal Fitting Approach to Construct Single-Neuron Models With Patch Clamp and High-Density Microelectrode Arrays
Spine Head Calcium as a Measure of Summed Postsynaptic Activity for Driving Synaptic Plasticity
Reinforcement Learning in Continuous Time and Space
Second-Order Cone Programming Formulations for Robust Multiclass Classification
Equivalence of Equilibrium Propagation and Recurrent Backpropagation
A Theory of Slow Feature Analysis for Transformation-Based Input Signals with an Application to Complex Cells
The Influence Function of Principal Component Analysis by Self-Organizing Rule
Spatiotemporal Spike Encoding of a Continuous External Signal
An Analysis of the Elastic Net Approach to the Traveling Salesman Problem
Measuring the VC-Dimension of a Learning Machine
Exact Inferences in a Neural Implementation of a Hidden Markov Model
Some Remarks on "Almost Periodic Dynamics of a Class of Delayed Neural Networks with Discontinuous Activations"
Representational Accuracy of Stochastic Neural Populations
Predicting Panel Data Binary Choice with the Gibbs Posterior
Learning Mixture Models of Spatial Coherence
Multiplicative Gain Modulation Arises Through Unsupervised Learning in a Predictive Coding Model of Cortical Function
Exact Solutions for Rate and Synchrony in Recurrent Networks of Coincidence Detectors
Energy Complexity of Recurrent Neural Networks
The Relation Between Color Discrimination and Color Constancy: When Is Optimal Adaptation Task Dependent?
Dynamics of the Firing Probability of Noisy Integrate-and-Fire Neurons
Accelerated Multiplicative Updates and Hierarchical ALS Algorithms for Nonnegative Matrix Factorization
Discrete Synchronous Neural Algorithm for Minimization
Spike Train Statistics and Dynamics with Synaptic Input from any Renewal Process: A Population Density Approach
Separating Style and Content with Bilinear Models
Time-Varying Perturbations Can Distinguish Among Integrate-to-Threshold Models for Perceptual Decision Making in Reaction Time Tasks
An Integral Upper Bound for Neural Network Approximation
Symmetric Neural Networks and Propositional Logic Satisfiability
Neural Information Processing and Computations of Two-Input Synapses
Coupling an aVLSI Neuromorphic Vision Chip to a Neurotrophic Model of Synaptic Plasticity: The Development of Topography
Synergistic Pathways of Modulation Enable Robust Task Packing Within Neural Dynamics
Energy Complexity of Convolutional Neural Networks
An Interneuron Circuit Reproducing Essential Spectral Features of Field Potentials
A Local Learning Rule That Enables Information Maximization for Arbitrary Input Distributions
Bayesian Inference Based on Stationary Fokker-Planck Sampling
On the Asymptotic Distribution of the Least-Squares Estimators in Unidentifiable Models
Phase Transition and Hysteresis in an Ensemble of Stochastic Spiking Neurons
Generation of Scale-Invariant Sequential Activity in Linear Recurrent Networks
Unitary Events in Multiple Single-Neuron Spiking Activity: I. Detection and Significance
Approximation by Fully Complex Multilayer Perceptrons
Biophysiologically Plausible Implementations of the Maximum Operation
A Novel Iterative Method for Computing Generalized Inverse
Bayesian A* Tree Search with Expected O(N) Node Expansions: Applications to Road Tracking
Constrained Nets for Graph Matching and Other Quadratic Assignment Problems
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
NetPyNE Implementation and Scaling of the Potjans-Diesmann Cortical Microcircuit Model
SMO Algorithm for Least-Squares SVM Formulation
Learning and Inference in Sparse Coding Models With Langevin Dynamics
Multiple Kernel Learning with Gaussianity Measures
Maximal Memory Capacity Near the Edge of Chaos in Balanced Cortical E-I Networks
Computational Studies of Lateralization of Phoneme Sequence Generation
Finding Minimum Entropy Codes
Hebbian Learning of Recurrent Connections: A Geometrical Perspective
Physiological Gain Leads to High ISI Variability in a Simple Model of a Cortical Regular Spiking Cel
Statistics of Visual Responses to Image Object Stimuli from Primate AIT Neurons to DNN Neurons
Dynamics and Bifurcation Structure of a Mean-Field Model of Adaptive Exponential Integrate-and-Fire Networks
Delay Differential Analysis of Electroencephalographic Data
The Effects of Precision Constraints in a Backpropagation Learning Network
The Continuum of Operating Modes for a Passive Model Neuron
Bayesian Filtering with Multiple Internal Models: Toward a Theory of Social Intelligence
Semisupervised, Multilabel, Multi-Instance Learning for Structured Data
Single Neuron Computation: From Dynamical System to Feature Detector
What Matters in Neuronal Locking?
On Consistency of Bayesian Inference with Mixtures of Logistic Regression
A Generalization of Spatial Monte Carlo Integration
Weight Perturbation: An Optimal Architecture and Learning Technique for Analog VLSI Feedforward and Recurrent Multilayer Networks
FastMMD: Ensemble of Circular Discrepancy for Efficient Two-Sample Test
Echo State Property Linked to an Input: Exploring a Fundamental Characteristic of Recurrent Neural Networks
Dynamics of Membrane Excitability Determine Inter-Spike Interval Variability: A Link Between Spike Generation Mechanisms and Cortical Spike Train Statistics
Self-Organization of Symmetry Networks: Transformation Invariance from the Spontaneous Symmetry-Breaking Mechanism
Inhomogeneities in Heteroassociative Memories with Linear Learning Rules
Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes
Minimax Mutual Information Approach for Independent Component Analysis
Training Periodic Sequences Using Fourier Series Error Criterion
Minimization of Error Functionals over Perceptron Networks
Sparse Associative Memory
A Common Network Architecture Efficiently Implements a Variety of Sparsity-Based Inference Problems
The Behavior of Forgetting Learning in Bidrectional Associative Memory
Learning to Discriminate Through Long-Term Changes of Dynamical Synaptic Transmission
Evolution of Cooperative Problem Solving in an Artificial Economy
Deformation Theory of the Dynamic Link Matching
Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework
Temporal Dynamics of Rate-Based Synaptic Plasticity Rules in a Stochastic Model of Spike-Timing-Dependent Plasticity
Unsupervised Learning of Individuals and Categories from Images
A Bayesian Approach to the Stereo Correspondence Problem
Dynamic Analysis of Naive Adaptive Brain-Machine Interfaces
Global Convergence Rate of Recurrently Connected Neural Networks
Minimal Models of Adapted Neuronal Response to In Vivo-Like Input Currents
Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel
Evaluating the Potential Gain of Auditory and Audiovisual Speech-Predictive Coding Using Deep Learning
Activation Functions Defined on Higher-Dimensional Spaces for Approximation on Compact Sets with and without Scaling
Alternating and Synchronous Rhythms in Reciprocally Inhibitory Model Neurons
On Decoding the Responses of a Population of Neurons from Short Time Windows
Regularization in the Selection of Radial Basis Function Centers
The Reliability of the Stochastic Active Rotator
Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex
Spiking Neural Networks for Cortical Neuronal Spike Train Decoding
Leave-One-Out Bounds for Support Vector Regression Model Selection
SMEM Algorithm Is Not Fully Compatible with Maximum-Likelihood Framework
Effects of Multiplicative Power Law Neural Noise in Visual Information Processing
Self-Organization of Control Circuits for Invariant Fiber Projections
Fair Attribution of Functional Contribution in Artificial and Biological Networks
Winning the Lottery With Neural Connectivity Constraints: Faster Learning Across Cognitive Tasks With Spatially Constrained Sparse RNNs
Kolmogorov's Theorem Is Relevant
On the Asymptotic Equivalence Between Differential Hebbian and Temporal Difference Learning
Spontaneous Emergence of Robustness to Light Variation in CNNs With a Precortically Inspired Module
Computation with Infinite Neural Networks
Criteria for Robust Stability In A Class Of Lateral Inhibition Networks Coupled Through Resistive Grids
Learning with "Relevance": Using a Third Factor to Stabilize Hebbian Learning
LeRec: a NN/HMM hybrid for on-line handwriting recognition
Deep, Narrow Sigmoid Belief Networks Are Universal Approximators
A Simplified Gradient Algorithm for IIR Synapse Multilayer Perceptrons
Supervised Learning in a Recurrent Network of Rate-Model Neurons Exhibiting Frequency Adaptation
Hidden Neural Networks
A First-Order Nonhomogeneous Markov Model for the Response of Spiking Neurons Stimulated by Small Phase-Continuous Signals
Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity
Sequential Triangle Strip Generator Based on Hopfield Networks
On the Computational Complexity of Binary and Analog Symmetric Hopfield Nets
Improving the Practice of Classifier Performance Assessment
Information Rate Analysis of a Synaptic Release Site Using a Two-State Model of Short-Term Depression
Belief Propagation in Networks of Spiking Neurons
Background Synaptic Activity as a Switch Between Dynamical States in a Network
Competition for Neurotrophic Factors: Mathematical Analysis
Adaptive Capability of Recurrent Neural Networks with Fixed Weights for Series-Parallel System Identification
Reply to the Comments on "Local Overfitting Control via Leverages" in "Jacobian Conditioning Analysis for Model Validation" by I. Rivals and L. Personnaz
A New Clustering Approach on the Basis of Dynamical Neural Field
Rapid Reweighting of Sensory Inputs and Predictions in Visual Perception
A Proposed Function for Hippocampal Theta Rhythm: Separate Phases of Encoding and Retrieval Enhance Reversal of Prior Learning
Universal Approximation by Phase Series and Fixed-Weight Networks
Multistability Analysis for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions
Kernel Fisher Discriminants for Outlier Detection
Optimal Short-Term Population Coding: When Fisher Information Fails
Penalized Probabilistic Clustering
Review of Neural Networks for Speech Recognition
Controllability Analysis of the Neural Mass Model with Dynamic Parameters
A Neural Network for Nonlinear Bayesian Estimation in Drug Therapy
Estimating Instantaneous Irregularity of Neuronal Firing
Branching Time Active Inference with Bayesian Filtering
Rate Models for Conductance-Based Cortical Neuronal Networks
A Fast, Streaming SIMD Extensions 2, Logistic Squashing Function
Information Geometrically Generalized Covariate Shift Adaptation
Dynamics of Encoding in Neuron Populations: Some General Mathematical Features
Temporal Differentiation and Violation of Time-Reversal Invariance in Neurocomputation of Visual Information
Implicit Learning in 3D Object Recognition: The Importance of Temporal Context
Trade-Offs Between Energy and Depth of Neural Networks
Cosine Tuning Minimizes Motor Errors
Learning Theory Estimates with Observations from General Stationary Stochastic Processes
Structure from Motion with Impaired Local-Speed and Global Motion-Field Computations
A Computationally Efficient Visual Saliency Algorithm Suitable for an Analog CMOS Implementation
Slowness as a Proxy for Temporal Predictability: An Empirical Comparison
Design of Charge-Balanced Time-Optimal Stimuli for Spiking Neuron Oscillators
Optimal Neuronal Tuning for Finite Stimulus Spaces
Dual Neural Network Method for Solving Multiple Definite Integrals
Reduction of the Hogkin-Huxley Equations to a Single-Variable Threshold Model
Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization
Revisiting Tests for Neglected Nonlinearity Using Artificial Neural Networks
Motor Cortex Microcircuit Simulation Based on Brain Activity Mapping
EEG Data Space Adaptation to Reduce Intersession Nonstationarity in Brain-Computer Interface
The Information Bottleneck and Geometric Clustering
Multiview Feature Analysis via Structured Sparsity and Shared Subspace Discovery
Mean-Driven and Fluctuation-Driven Persistent Activity in Recurrent Networks
Modular Construction of Time-Delay Neural Networks for Speech Recognition
On the Convergence of the LMS Algorithm with Adaptive Learning Rate for Linear Feedforward Networks
General-Purpose Computation with Neural Networks: A Survey of Complexity Theoretic Results
Replicating Neuroscience Observations on ML/MF and AM Face Patches by Deep Generative Model
Spotting Neural Spike Patterns Using an Adversary Background Model
Sorting with self-organizing maps
Discrete States of Synaptic Strength in a Stochastic Model of Spike-Timing-Dependent Plasticity
Oscillatory Synchronization Requires Precise and Balanced Feedback Inhibition in a Model of the Insect Antennal Lobe
Determination of Firing Times for the Stochastic Fitzhugh-Nagumo Neuronal Model
Stability of Oja's PCA Subspace Rule
Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning
Object-Centric Scene Representations Using Active Inference
Matrix Product State-Based Quantum Classifier
Understanding Retinal Color Coding from First Principles
Analysis of Integrate-and-Fire Neurons: Synchronization of Synaptic Input and Spike Output
The Road to Chaos by Time-Asymmetric Hebbian Learning in Recurrent Neural Networks
Information-Maximization Clustering Based on Squared-Loss Mutual Information
Pattern Segmentation in Associative Memory
Exponential Stability of Almost Periodic Solutions for Memristor-Based Neural Networks with Distributed Leakage Delays
Pathological Spectra of the Fisher Information Metric and Its Variants in Deep Neural Networks
A Fast, Compact Approximation of the Exponential Function
Internal-Time Temporal Difference Model for Neural Value-Based Decision Making
Information Maximization and Independent Component Analysis: Is There a Difference?
Analysis of Pointing Errors Reveals Properties of Data Representations and Coordinate Transformations Within the Central Nervous System
The Dependence of Spike Field Coherence on Expected Intensity
Detecting and Estimating Signals in Noisy Cable Structures, II: Information Theoretical Analysis
Automated Parameter Estimation of the Hodgkin-Huxley Model Using the Differential Evolution Algorithm: Application to Neuromimetic Analog Integrated Circuits
Convergence Theorems for Hybrid Learning Rules
Active Inference and Reinforcement Learning: A Unified Inference on Continuous State and Action Spaces Under Partial Observability
Fine-Grained 3D-Attention Prototypes for Few-Shot Learning
Composite Optimization Algorithms for Sigmoid Networks
LSV-Based Tail Inequalities for Sums of Random Matrices
Neural Representation of Probabilistic Information
Fluctuation-Dissipation Theorem and Models of Learning
Gaussian Process Approach to Spiking Neurons for Inhomogeneous Poisson Inputs
The Population Tracking Model: A Simple, Scalable Statistical Model for Neural Population Data
Memory Maintenance via Neuronal Regulation
Efficient Actor-Critic Reinforcement Learning With Embodiment of Muscle Tone for Posture Stabilization of the Human Arm
Learning Midlevel Auditory Codes from Natural Sound Statistics
One-Bit-Matching Theorem for ICA, Convex-Concave Programming on Polyhedral Set, and Distribution Approximation for Combinatorics
Multistability in Spiking Neuron Models of Delayed Recurrent Inhibitory Loops
Cross-Talk Induces Bifurcations in Nonlinear Models of Synaptic Plasticity
Spike-Timing-Dependent Plasticity: The Relationship to Rate-Based Learning for Models with Weight Dynamics Determined by a Stable Fixed Point
Comment on "Characterization of Subthreshold Voltage Fluctuations in Neuronal Membranes, " by M. Rudolph and A. Destexhe
An M -ary Neural Network Model
Mixture Modeling with Pairwise, Instance-Level Class Constraints
Learning Overcomplete Representations
Synthetic Neural Circuits Using Current-Domain Signal Representations
Adaptive Design Optimization: A Mutual Information-Based Approach to Model Discrimination in Cognitive Science
Burster Reconstruction Considering Unmeasurable Variables in the Epileptor Model
Simple Recurrent Networks Learn Context-Free and Context-Sensitive Languages by Counting
A Short Proof of the Posterior Probability Property of Classifier Neural Networks
Rapid Temporal Modulation of Synchrony by Competition in Cortical Interneuron Networks
An Extended Analytic Expression for the Membrane Potential Distribution of Conductance-Based Synaptic Noise
The Effects of Cell Duplication and Noise in a Pattern Generating Network
Periodic Forcing of Inhibition-Stabilized Networks: Nonlinear Resonances and Phase-Amplitude Coupling
A Reinforcement Learning Neural Network for Robotic Manipulator Control
A Neural Model for Insect Steering Applied to Olfaction and Path Integration
Balancing New against Old Information: The Role of Puzzlement Surprise in Learning
How to Represent Part-Whole Hierarchies in a Neural Network
The Lamellar Structure of the Brain Fiber Pathways
An Optimization Approach to Design of Generalized BSB Neural Associative Memories
A Compartmental Model of Linear Resonance and Signal Transfer in Dendrites
Spiking Neurons Can Learn to Solve Information Bottleneck Problems and Extract Independent Components
Complete Classification of the Macroscopic Behavior of a Heterogeneous Network of Theta Neurons
Estimating Information Rates with Confidence Intervals in Neural Spike Trains
Artificial Dendritic Trees
Approximate Emergent Synchrony in Spatially Coupled Spiking Neurons with Discrete Interaction
A Modified Algorithm for Generalized Discriminant Analysis
Astrocytes Learn to Detect and Signal Deviations From Critical Brain Dynamics
Synergies Between Intrinsic and Synaptic Plasticity Mechanisms
Fast Recognition of Noisy Digits
Linear Codes for Hyperdimensional Computing
Channel Stochasticity May Be Critical in Determining the Reliability and Precision of Spike Timing
Downstream Effect of Ramping Neuronal Activity through Synapses with Short-Term Plasticity