yusuke1997/dblp-id-title huggingface dataset:
Recent Servo Motor Driver
Development of Tensegrity Manipulator Driven by 40 Pneumatic Cylinders for Investigating Functionality in Hyper-Redundant Musculoskeletal Systems
Upper Body of Dummy Humanoid Robot with Exterior Deformation Mechanism for Evaluation of Assistive Products and Technologies
A Reactive Wall Following Algorithm and Its Behavior of an Autonomous Mobile Robot with Sonar Ring
Real-Time Suture Thread Detection with an Image Classifier
Space Robotics Research at the University of Osaka Prefecture - Control of Free-Flying Robots with Structurally Flexible Manipulators -
Development of Time-Programmed, Dual-Release System Using Multilayered Fiber Mesh Sheet by Sequential Electrospinning
Editorial: Complex Systems in Robotics
LiDAR Based Road Detection and Control for Agricultural Vehicles
Development of a Spiral Shaped Soft Holding Actuator Using Extension Type Flexible Pneumatic Actuators
Development of Horse-type Quadruped Robot -Report 1, Development of Mechanism and Control System of Quadruped Robot PONY-
Workspace and Dexterity Analyses of the Delta Hexaglide Platform
Design and Fabricate of Reconnaissance Robots for Nuclear Power Plants that Underwent Accidents
Development of a Hysteresis Amplifier with an H-bridge Drive for Self-Sensing Magnetic Suspension
Enhancement of Control Stability Using Double Pulleys for Coupled Tendon-Driven Long-Reach Manipulator "Super Dragon"
Analysis of Muscle Activity in the Sit-to-Stand Motion When Knee Movability is Disturbed
Development and Application of Silicone Outer Shell-Type Pneumatic Soft Actuators
Development of Integrated Leader Controller for Forceps/Retractor Manipulation in Single-Port Water-Filled Laparo-Endoscopic Surgery
Bio-Mimetic Control Systems
VR Applied Asobi-Litation System for Dementia Elderly in Group Homes
A Force Controlled Finishing Robot System with a Task-Directed Robot Language
Pneumatic Plantar Stimulation Device Replicating Manual Therapy Improves Lateral Stability in Standing Posture
The Recent Trend of Moire Metrology
Pneumatically Driven Prehension Orthosis with Force Control Function
Three-Dimensional Aerial Image Interface, 3DAII
Virtual Driving Simulator for Measuring Dynamic Properties of Human Arm Movements
Concept and Prototype of Soft Actuator for Liquid Nitrogen Temperature Environments
Development Timeline of the Autonomous Underwater Vehicle in Japan
Disposable Robotic Finger Driven Pneumatically by Flat Tubes and a Hollow Link Mechanism
Editorial: Advanced Maintenance Robots
Thin and Flexible Position Sensor
Detection of Blobs Using Variable Windows
Gait Analysis with Automatic Speed-Controlled Treadmill
Fuzzy Real-time Advanced Shell for Intelligent Control with Fuzzy Algorithm Compiler
Structural Analysis of a Universal Holding Mechanism for Piston Rings
Allocation of Proximity Sensors for Obstacle Detection of a Robot Manipulator
Detection Principle of Shape and Orientation of Corrosive Defects Using Lamb Waves
Editorial: MEXT 21 st Century COE Programs (I)
Self-diagnosis System of an Autonomous Mobile Robot Using Sensory Information
Development of Human-Size Swallowing Robot
LED Panel Detection and Pattern Discrimination Using UAV's On-Board Camera for Autoflight Control
Dynamic Remodeling of Environmental Map Using Range Data for Remote Operation of Mobile Robot
Development of Contraction and Extension Artificial Muscles with Different Braid Angles and Their Application to Stiffness Changeable Bending Rubber Mechanismby Their Combination
Demonstration of Snow Removal Work by Wheel Loader in an Environment Surrounded by Obstacles
Impact Piezo-Driven Micro Dispenser and Precise Miniature XY Stage
Optical Torque Sensors for Local Impedance Control Realization of an Anthropomorphic Robot Arm
Development of an Electro-Hydrostatic Actuator CADUCEUS and an Actuator-Equipped Rotary Mechanism
New Portable Pointer for Positional Data Acquisition
Development and Evaluation of Dorsiflexion Support Unit Using Elastomer Embedded Flexible Joint
Training Simulator for Manual Lathe Operation Using Motion Capture - Addition of Teaching Function and Evaluation of Training Effectiveness -
Virtual Mirror and Beyond: The Psychological Basis for Avatar Embodiment via a Mirror
Building a Search Tree for a Pilot System of a Rescue Search Robot in a Discretized Random Step Environment
Simplified Triped Robot for Analysis of Three-Dimensional Gait Generation
Development of Tele-Operated Underfloor Mobile Manipulator
Experimental Verification of Fermentation Acceleration Effect by Peristaltic Pump - Facilitation of Fermentation of Lactic Acid Bacteria by Fibrous and Porous Fermentation Substrates -
Design Strategies of Human Symbiotic Robot WENDY
Robot Technology Ontology Targeting Robot Technology Services in Kukanchi - "Interactive Human-Space Design and Intelligence"
A Study of the Multipurpose Intelligent Guided Vehicle for Education
Designing Patient-Specific Optimal Neurostimulation Patterns for Seizure Suppression
A Survey on Deep Learning for Multimodal Data Fusion
Capacity of a Single Spiking Neuron Channel
Multi-Instance Dimensionality Reduction via Sparsity and Orthogonality
Learning in Artificial Neural Networks: A Statistical Perspective
Asymptotic Bias in Information Estimates and the Exponential (Bell) Polynomials
Response Characteristics of a Low-Dimensional Model Neuron
Spatiotemporal Conditional Inference and Hypothesis Tests for Neural Ensemble Spiking Precision
Neuronal Regulation: A Mechanism for Synaptic Pruning During Brain Maturation
On Neurodynamics with Limiter Function and Linsker's Developmental Model
Stimulus-Dependent Assembly Formation of Oscillatory Responses: II. Desynchronization
Oscillator-Interference Models of Path Integration Do Not Require Theta Oscillations
On Kernel Method-Based Connectionist Models and Supervised Deep Learning Without Backpropagation
Traveling Bumps and Their Collisions in a Two-Dimensional Neural Field
Neural Networks for Optimal Approximation of Smooth and Analytic Functions
Dynamic Approximation of Spatiotemporal Receptive Fields in Nonlinear Neural Field Models
Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses
Class-Incremental Generalized Discriminant Analysis
Single Circuit in V1 Capable of Switching Contexts During Movement Using an Inhibitory Population as a Switch
A Network of Spiking Neurons for Computing Sparse Representations in an Energy-Efficient Way
Bootstrapping Neural Networks
Kernel-Based Nonlinear Blind Source Separation
Recognition Dynamics in the Brain under the Free Energy Principle
Robust Loss Functions for Boosting
The Kernel Semi-Least Squares Method for Sparse Distance Approximation
Statistical Mechanics of Reward-Modulated Learning in Decision-Making Networks
Information Controller to Maximize and Minimize Information
Strong Allee Effect Synaptic Plasticity Rule in an Unsupervised Learning Environment
Enhanced Stimulus Encoding Capabilities with Spectral Selectivity in Inhibitory Circuits by STDP
Learning by Asymmetric Parallel Boltzmann Machines
Neural Quadratic Discriminant Analysis: Nonlinear Decoding with V1-Like Computation
Optimal Feedback Control for the Proportion of Energy Cost in the Upper-Arm Reaching Movement
Hybrid Integrate-and-Fire Model of a Bursting Neuron
Computing the Optimally Fitted Spike Train for a Synapse
Generalized Deformable Models, Statistical Physics, and Matching Problems
Temporal Correlations in Stochastic Networks of Spiking Neurons
An FPGA Accelerator for High-Speed Moving Objects Detection and Tracking With a Spike Camera
Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks
An Energy Function and Continuous Edit Process for Graph Matching
Least Squares Estimation Without Priors or Supervision
Stable Competitive Dynamics Emerge from Multispike Interactions in a Stochastic Model of Spike-Timing-Dependent Plasticity
Categorical Perception: A Groundwork for Deep Learning
Interpretation of the Precision Matrix and Its Application in Estimating Sparse Brain Connectivity during Sleep Spindles from Human Electrocorticography Recordings
Searching for Memories, Sudoku, Implicit Check Bits, and the Iterative Use of Not-Always-Correct Rapid Neural Computation
Optimal Population Codes for Space: Grid Cells Outperform Place Cells
Associative Memory with Uncorrelated Inputs
Roles of Inhibitory Neurons in Rewiring-Induced Synchronization in Pulse-Coupled Neural Networks
Models of Perceptual Learning in Vernier Hyperacuity
Evidence Evaluation for Bayesian Neural Networks Using Contour Monte Carlo
Pavlov's Dog Associative Learning Demonstrated on Synaptic-Like Organic Transistors
Sensitivity of Sparse Codes to Image Distortions
Parameter Identifiability in Statistical Machine Learning: A Review
Asymmetric Dynamics in Optimal Variance Adaptation
Constrained Optimization for Neural Map Formation: A Unifying Framework for Weight Growth and Normalization
High-Dimensional Cluster Analysis with the Masked EM Algorithm
A Maximum-Likelihood Interpretation for Slow Feature Analysis
On the Characteristics of the Autoassociative Memory with Nonzero-Diagonal Terms in the Memory Matrix
Temporal Coding: Assembly Formation Through Constructive Interference
Self-Organization of Topographic Mixture Networks Using Attentional Feedback
A Universal Approximation Theorem for Mixture-of-Experts Models
Polynomial-Time Algorithms for Multiple-Arm Identification with Full-Bandit Feedback
Combining Reconstruction and Discrimination with Class-Specific Sparse Coding
Efficient Tracking of the Dominant Eigenspace of a Normalized Kernel Matrix
Computing the Karhunen-Loeve Expansion with a Parallel, Unsupervised Filter System
Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering
Reconciling the STDP and BCM Models of Synaptic Plasticity in a Spiking Recurrent Neural Network
Movement Duration, Fitts's Law, and an Infinite-Horizon Optimal Feedback Control Model for Biological Motor Systems
Spatiotemporal Conversion of Auditory Information for Cochleotopic Mapping
Weight Value Convergence of the SOM Algorithm for Discrete Input
Isotropic Sequence Order Learning
Unifying Adversarial Training Algorithms with Data Gradient Regularization
Exponentially Long Orbits in Hopfield Neural Networks
On Blind Separability Based on the Temporal Predictability Method
Does Extra Knowledge Necessarily Improve Generalization?
Computing With Residue Numbers in High-Dimensional Representation
On Learning Perceptrons with Binary Weights
On the Spike Train Variability Characterized by Variance-to-Mean Power Relationship
Synchrony-Induced Switching Behavior of Spike Pattern Attractors Created by Spike-Timing-Dependent Plasticity
Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings
Models Wagging the Dog: Are Circuits Constructed with Disparate Parameters?
Synaptic Pruning In Development: A Computational Account
Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes
The Multifractal Structure of Contrast Changes in Natural Images: From Sharp Edges to Textures
The Determining Role of Covariances in Large Networks of Stochastic Neurons
On an Interpretation of ResNets via Gate-Network Control
On the Explainability of Graph Convolutional Network With GCN Tangent Kernel
An information-maximization approach to blind separation and blind deconvolution
Observable Operator Models for Discrete Stochastic Time Series
Generalization Effects of k -Neighbor Interpolation Training
The MEE Principle in Data Classification: A Perceptron-Based Analysis
Time-Free Spiking Neural P Systems
Statistical Significance of Coincident Spikes: Count-Based Versus Rate-Based Statistics
Determining Burst Firing Time Distributions from Multiple Spike Trains
A Type of Duality between Self-Organizing Maps and Minimal Wiring
Using Noise to Compute Error Surfaces in Connectionist Networks: A Novel Means of Reducing Catastrophic Forgetting
A Novel Spike Distance
Deficient GABAergic Gliotransmission May Cause Broader Sensory Tuning in Schizophrenia
Disambiguating Different Covariation Types
Hidden Aspects of the Research ADOS Are Bound to Affect Autism Science
Information in the Nonstationary Case
Controlling Hidden Layer Capacity Through Lateral Connections
A Theory for Learning by Weight Flow on Stiefel-Grassman Manifold
Microdomain [Ca 2+ ] Fluctuations Alter Temporal Dynamics in Models of Ca 2+ -Dependent Signaling Cascades and Synaptic Vesicle Release
Sensitivity to Control Signals in Triphasic Rhythmic Neural Systems: A Comparative Mechanistic Analysis via Infinitesimal Local Timing Response Curves
Learning Invariance from Natural Images Inspired by Observations in the Primary Visual Cortex
A Multiple-Map Model for Pattern Classification
A Computationally Efficient Method for Nonparametric Modeling of Neural Spiking Activity with Point Processes
A Novel Optimizing Network Architecture with Applications
Integration of Leaky-Integrate-and-Fire Neurons in Standard Machine Learning Architectures to Generate Hybrid Networks: A Surrogate Gradient Approach
Fine Granularity Is Critical for Intelligent Neural Network Pruning
Efficient Continuous-Time Asymmetric Hopfield Networks for Memory Retrieval
Asymptotic Input-Output Relationship Predicts Electric Field Effect on Sublinear Dendritic Integration of AMPA Synapses
Analog Neural Nets with Gaussian or Other Common Noise Distribution Cannot Recognize Arbitrary Regular Languages
Derivation of the Visual Contrast Response Function by Maximizing Information Rate
Learning Visual Spatial Pooling by Strong PCA Dimension Reduction
The Influence of Limit Cycle Topology on the Phase Resetting Curve
Subharmonic Coordination in Networks of Neurons with Slow Conductances
Factorial Hidden Markov Models and the Generalized Backfitting Algorithm
A Kinetic Model of Short- and Long-Term Potentiation
Reinforcement-Based Decision Making in Corticostriatal Circuits: Mutual Constraints by Neurocomputational and Diffusion Models
Learning With Proper Partial Labels
Stable and Rapid Recurrent Processing in Realistic Autoassociative Memories
Memory Capacity of Balanced Networks
Hebbian Descent: A Unified View on Log-Likelihood Learning
Formal Verification of Deep Brain Stimulation Controllers for Parkinson's Disease Treatment
Opening the Black Box: Low-Dimensional Dynamics in High-Dimensional Recurrent Neural Networks
Neuronal Calcium Wave Propagation Varies with Changes in Endoplasmic Reticulum Parameters: A Computer Model
New Conditions on Global Stability of Cohen-Grossberg Neural Networks
Modeling Alternation to Synchrony with Inhibitory Coupling: A Neuromorphic VLSI Approach
Analysis and Neuronal Modeling of the Nonlinear Characteristics of a Local Cardiac Reflex in the Rat
Mapping of Visual Receptive Fields by Tomographic Reconstruction
Local Algorithms for Pattern Recognition and Dependencies Estimation
Noise Tolerance of Attractor and Feedforward Memory Models
On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces
From Pavlov Conditioning to Hebb Learning
Nonmonotonic Generalization Bias of Gaussian Mixture Models
Learning with Convex Loss and Indefinite Kernels
Statistical Procedures for Spatiotemporal Neuronal Data with Applications to Optical Recording of the Auditory Cortex
Supervised Spike-Timing-Dependent Plasticity: A Spatiotemporal Neuronal Learning Rule for Function Approximation and Decisions
Predictive Neural Networks for Learning the Time Course of Blood Glucose Levels From the Complex Interaction of Counterregulartory Hormones
Methods for Binary Multidimensional Scaling
Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources
Positive Competitive Networks for Sparse Reconstruction
A Control Systems Model of Smooth Pursuit Eye Movements with Realistic Emergent Properties
Random Neural Networks with Synchronized Interactions
Neural Networks for Optimization Problems with Inequality Constraints: The Knapsack Problem
Parameter Space Structure of Continuous-Time Recurrent Neural Networks
Linear Multilayer ICA Generating Hierarchical Edge Detectors
Cortical Spatiotemporal Dimensionality Reduction for Visual Grouping
Spikernels: Predicting Arm Movements by Embedding Population Spike Rate Patterns in Inner-Product Spaces
Deep Network With Approximation Error Being Reciprocal of Width to Power of Square Root of Depth
Continuous Closed-Loop Decoder Adaptation with a Recursive Maximum Likelihood Algorithm Allows for Rapid Performance Acquisition in Brain-Machine Interfaces
Blind Nonnegative Source Separation Using Biological Neural Networks
Using neural networks to model conditional multivariate densities
Least kth-Order and Rényi Generative Adversarial Networks
Regularized Multitask Learning for Multidimensional Log-Density Gradient Estimation
Connecting Cortical And Behavioral Dynamics: Bimanual Coordination
A Neuro-Mimetic Dynamic Scheduling Algorithm for Control: Analysis and Applications
Regularized Variational Bayesian Learning of Echo State Networks with Delay&Sum Readout
Representation Properties of Networks: Kolmogorov's Theorem Is Irrelevant
Parameter Estimation of Sigmoid Superpositions: Dynamical System Approach
Effect of Phase Response Curve Shape and Synaptic Driving Force on Synchronization of Coupled Neuronal Oscillators
Timing of Cortical Events Preceding Voluntary Movement
Memory Capacity for Sequences in a Recurrent Network with Biological Constraints
Recurrent Network with Large Representational Capacity
Correlational Neural Networks
Rate Limitations of Unitary Event Analysis
ANUBIS: Artificial Neuromodulation Using a Bayesian Inference System
A Method for Designing Neural Networks Using Nonlinear Multivariate Analysis: Application to Speaker-Independent Vowel Recognition
A Canonical Microcircuit for Neocortex
Nonlinear Decoding of Natural Images From Large-Scale Primate Retinal Ganglion Recordings
Parameter Estimation of Nonlinear Systems by Dynamic Cuckoo Search
A Mean-Field Description of Bursting Dynamics in Spiking Neural Networks with Short-Term Adaptation
Bayes-Optimal Chemotaxis
Presynaptic Spontaneous Activity Enhances the Accuracy of Latency Coding
Generalization and Selection of Examples in Feedforward Neural Networks
Local Intrinsic Dimension Estimation by Generalized Linear Modeling
Refined Rademacher Chaos Complexity Bounds with Applications to the Multikernel Learning Problem
Mathematical Equivalence of Two Common Forms of Firing Rate Models of Neural Networks
Combinatorial Neural Codes from a Mathematical Coding Theory Perspective
Scaled Coupled Norms and Coupled Higher-Order Tensor Completion
Universal Approximation Capability of Cascade Correlation for Structures
Decoding of Neural Data Using Cohomological Feature Extraction
A Note on Support Vector Machines with Polynomial Kernels
Neighborhood Property-Based Pattern Selection for Support Vector Machines
A Potts Neuron Approach To Communication Routing
Sound Retrieval and Ranking Using Sparse Auditory Representations
A Coarse-to-Fine Disparity Energy Model with Both Phase-Shift and Position-Shift Receptive Field Mechanisms
Long-Range Out-of-Sample Properties of Autoregressive Neural Networks
Site-Selective Autophosphorylation of Ca2+/Calmodulin-Dependent Protein Kinase II as a Synaptic Encoding Mechanism
Formation and Regulation of Dynamic Patterns in Two-Dimensional Spiking Neural Circuits with Spike-Timing-Dependent Plasticity
Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural Networks
A Case of Near-Optimal Sensory Integration Based on Kohonen Self-Organizing Maps
Learning the Dynamics of Objects by Optimal Functional Interpolation
Neural Mass Activity, Bifurcations, and Epilepsy
Induction of Finite-State Languages Using Second-Order Recurrent Networks
Clustering Based on Gaussian Processes
A Neural Root Finder of Polynomials Based on Root Moments
Stochastic Properties of Coincidence-Detector Neural Cells
How Does the Inner Retinal Network Shape the Ganglion Cells Receptive Field? A Computational Study
Neurons with Two Sites of Synaptic Integration Learn Invariant Representations
Effect of Phase Response Curve Skewness on Synchronization of Electrically Coupled Neuronal Oscillators
Regulation of Local Ambient GABA Levels via Transporter-Mediated GABA Import and Export for Subliminal Learning
Learning in Boltzmann Trees
Slow Feature Analysis: Unsupervised Learning of Invariances
Circular nodes in neural networks
Computing with Arrays of Coupled Oscillators: An Application to Preattentive Texture Discrimination
Determination of the Lowest-Energy States for the Model Distribution of Trained Restricted Boltzmann Machines Using a 1000 Qubit D-Wave 2X Quantum Computer
On the Use of Analytical Expressions for the Voltage Distribution to Analyze Intracellular Recordings
A Unified Analysis of Value-Function-Based Reinforcement Learning Algorithms
Invariance, Encodings, and Generalization: Learning Identity Effects With Neural Networks
Modeling Short-Term Synaptic Depression in Silicon
A Low-Order Model of Biological Neural Networks
Cortical Circuitry Implementing Graphical Models
A Quantified Sensitivity Measure for Multilayer Perceptron to Input Perturbation
Structure Learning in Conditional Probability Models via an Entropic Prior and Parameter Extinction
Fast Calculation of Short-Term Depressing Synaptic Conductances
Mismatched Training and Test Distributions Can Outperform Matched Ones
Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia
Approximation of Boolean Functions by Sigmoidal Networks: Part I: XOR and Other Two-Variable Functions
Online EM with Weight-Based Forgetting
The Formation of Topographic Maps Which Maximize the Average Mutual Information of the Output Responses to Noiseless Input Signals
Population Models of Temporal Differentiation
Optimal Readout of Correlated Neural Activity in a Decision-Making Circuit
Foundations of Support Constraint Machines
Crystal-LSBO: Automated Design of De Novo Crystals With Latent Space Bayesian Optimization
Feature Selection for Ridge Regression with Provable Guarantees
Support Vector Algorithms for Optimizing the Partial Area under the ROC Curve
Statistical Computer Model Analysis of the Reciprocal and Recurrent Inhibitions of the Ia-EPSP in α-Motoneurons
Spike-Driven Synaptic Plasticity: Theory, Simulation, VLSI Implementation
Population Coding and the Labeling Problem: Extrinsic Versus Intrinsic Representations
How to Pretend That Correlated Variables Are Independent by Using Difference Observations
Employing The -Transform to Optimize the Calculation of the Synaptic Conductance of NMDA-and Other Synaptic Channels in Network Simulations
Computational Capacity of an Odorant Discriminator: The Linear Separability of Curves
A Neural Model of Olfactory Sensory Memory in the Honeybee's Antennal Lobe
Topographic Mapping of Large Dissimilarity Data Sets
Agnostic PAC Learning of Functions on Analog Neural Nets
A Systematic and Effective Supervised Learning Mechanism Based on Jacobian Rank Deficiency
Neural Associative Memory with Optimal Bayesian Learning
Joint Structure and Parameter Optimization of Multiobjective Sparse Neural Network
No Free Lunch for Early Stopping
Valuations for Spike Train Prediction
Bridging the Functional and Wiring Properties of V1 Neurons Through Sparse Coding
Automatic Hyperparameter Tuning in Sparse Matrix Factorization
t-SNE Visualization of Large-Scale Neural Recordings
A Neural Model for Generation of Some Behaviors in the Fictive Scratch Reflex
Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes
Hyperbolic-Valued Hopfield Neural Networks in Synchronous Mode
A Model for Perceptual Averaging and Stochastic Bistable Behavior and the Role of Voluntary Control
A Canonical Form of Nonlinear Discrete-Time Models
Support Vector Machines for Dyadic Data
Odor-Driven Attractor Dynamics in the Antennal Lobe Allow for Simple and Rapid Olfactory Pattern Classification
Conditional Association
Optimal Burstiness in Populations of Spiking Neurons Facilitates Decoding of Decreases in Tonic Firing
An Oscillatory Hebbian Network Model of Short-Term Memory