Reward Responses of Dopamine Neurons: A Biological Reinforcement Signal
The Information Content of Action Potential Trains - A Synaptic Basis
Cortical Cell Assemblies, Laminar Interaction, and Thalamocortical Interplay
Cross-Correlations in Sparsely Connected Recurrent Networks of Spiking Neurons
A Comparative Study of Pattern Detection Algorithm and Dynamical System Approach Using Simulated Spike Trains
Spatio-Temporal Pattern Recognition with Neural Networks: Application to Speech
Noise in Integrate-and-Fire Models of Neuronal Dynamics
Coarse Coding Accounts for Improvement of Spatial Discrimination after Plastic Reorganization in Rats and Humans
Analogue Resolution in a Model of the Schaffer Collaterals
Modeling Networks with Linear (VLSI) Integrate-and-Fire Neurons
An Information-Theoretic Analysis of Temporal Coding Strategies by Spiking Central Neurons
Correlation Coding in Stochastic Neural Networks
Two-Dimensional Hodgkin-Huxley Equations for Investigating a Basis of Pulse-Processing Neural Networks
Concurrent Parallel-Sequential Processing in Gamma Controlled Cortical-Type Networks of Spiking Neurones
A Noise-Robust Auditory Modelling Front End for Voiced Speech
A Novelty Detector Using a Network of Integrate and Fire Neurons
Derivation of Pool Dynamics from Microscopic Neuronal Models
How a Single Purkinje Cell Could Learn the Adaptive Timing of the Classically Conditioned Eye-Blink Response
An Algorithm for Synaptic Modification Based on Exact Timing of Pre- and Post-Synaptic Action Potentials
Modelling Plasticity in Rat Barrel Cortex Induced by One Spared Whisker
Mathematical Analysis of Competition Between Sensory Ganglion Cells for Nerve Growth Factor in the Skin
Competition Amongst Neurons for Neurotrophins
Implementing Hebbian Learning in a Rank-based Neural Network
A Model of Clipped Hebbian Learning in a Neocortical Pyramidal Cell
Hebbian Delay Adaptation in a Network of Integrate-and-Fire Neurons
Hippocampal Formation Trains Independent Components via Forcing Input Reconstruction
Nature vs. Nurture in the Development of Tangential Connections and Functional Maps in the Visual Cortex
Geometric Relationships Between Feature Maps in Cat Visual Cortex
A Linear Hebbian Model for the Development of Spatiotemporal Receptive Fields of Simple Cells
Synapse Clustering Can Drive Simultaneous ON-OFF and Ocular- Dominance Segregation in a Model of Area 17
Must Pinwheels Move During Visual Development?
Extending the TRN Model in a Biologically Plausible Way
SOM-Model for the Development of Oriented Receptive Fields and Orientation Maps from Non-Oriented ON-center OFF-center Inputs
On the Anatomical Basis of Field Size, Contrast, Sensitivity, and Orientation Selectivity in Macaque Striate Cortex: A Model Study
Statistics of Natural and Urban Images
A CBL Network Model with Intracortical Plasticity and Natural Image Stimuli
Geometry of Orientation Preference Map Determines Nonclassical Receptive Field Properties
A Model for Orientation Tuning and Contextual Effects of Orientation Selective Receptive Fields
Objective Functions for Neural Map Formation
Relative Time Scales in the Self-Organization of Pattern Classification: From One-Shot to Statistical Learning
Realization of Geometric Illusions and Geometry of Visual Space with Neural Networks
The Support Vector Method
On the Significance of Markov Decision Processes
Economical Reinforcement Learning for Non Stationary Problems
A Double Gradient Algorithm to Optimize Regularization
Global Least-Squares vs. EM Training for the Gaussian Mixture of Experts
Accellerated Learning in Boltzmann Machines Using Mean Field Theory
Adaptive Online Learning for Nonstationary Problems
Weight Discretization due to Optical Constraints and its Influence on the Generalization Abilities of a Simple Perceptron
Wavelet Frames Based Estimator
A Spatio-Temporal Perceptron for on-Line Handwritten Character Recognition
Learning Oscillations Using Adaptive Control
Creation of Neural Networks Based on Developmental and Evolutionary Principles
A Boosting Algorithm for Regression
Combining Regularized Neural Networks
Making Stochastic Networks Deterministic
Unsupervised Learning in Networks of Spiking Neurons Using Temporal Coding
Experiments on Regularizing MLP Models with Background Knowledge
Elliptical Basis Function Networks for Classification Tasks
Probabilistic Neural Networks with Rotated Kernel Functions
Statistical Control of RBF-like Networks for Classification
Improving RBF Networks by Feature Selection Approach EUBAFES
Polynomial Classifiers and Support Vector Machines
Unique Representations of Dynamical Systems Produced by Recurrent Neural Networks
Generalization of Elman Networks
Designing Neural Networks by a Combination of Structural Learning and Genetic Algorithms
A Recurrent Self-Organizing Map for Temporal Sequence Processing
An Extended Elman Net for Modeling Time Series
Recurrent Associative Memory Network of Nonlinear Coupled Oscillators
A Layered Recurrent Neural Network for Feature Grouping
A Multilayer Real-Time Recurrent Learning Algorithm for Improved Convergence
Increasing the Capacity of a Hopfield Network without Sacrificing Functionality
A Novel Associative Network Accommodating Pattern Deformation
Adaptive Noise Injection for Input Variables Relevance Determination
Input Selection with Partial Retraining
On the Complexity of Recognizing Iterated Differences of Polyhedra
Optimal Linear Regression on Classifiers Outputs
Learning Verification in Multilayer Neural Networks
Design of a Fault Tolerant Multilayer Perceptron with a Desired Level of Robustness
Mixtures of Experts Estimate a Posteriori Probabilities
Admissibility and Optimality of the Cascade-Correlation Algorithm
The Effective VC Dimension of the n-tuple Classifier
From Neural Principal Components to Neural Independent Components
Entropy Optimization - Application to Blind Source Separation
Improving the Performance of Infomax Using Statistical Signal Processing Techniques
A Maximum Likelihood Approach to Nonlinear Blind Source Separation
A Perceptron-Based Approach to Piecewise Linear Modeling with an Application to Time Series
Local Independent Component Analysis by the Self-Organizing Map
Model Breaking Detection Using Independent Component Classifier
Neural Network Based Processing for Smart Sensors Arrays
Application of the MEC Network to Principal Component Analysis and Source Separation
Semi-Blind Source Parameter Separation
Kernel Principal Component Analysis
An Empirical Comparison of Dimensionality Reduction Techniques for Pattern Classification
Topology Representing Networks for Intrinsic Dimensionality Estimation
SOM Based Visualization in Data Analysis
ARTMAP-DS: Pattern Discrimination by Discounting Similarities
A Self-Organizing Network that Can Follow Non-Stationary Distributions
Phase Transitions in Soft Topographic Vector Quantization
Vector Quantization by Optimal Neural Gas
Convergences of the Kohonen Maps: a Dynamical System Approach
Local Subspace Classifier
Asymptotic Distributions Associated to Unsupervised Oja's Learning Equation
The Probabilistic Growing Cell Structures Algorithm
Unsupervised Coding with LOCOCODE
Wave Propagation in Self-Organizing Feature Maps as a Means for the Representation of Temporal Sequences
Contextual Kohonen SOM with Orthogonal Weight Estimator Principle
Self-Organizing Maps for Robot Control
Cognition is Not Computation: Evolution is Not Optimisation
Information Theoretic Implications of Embodiment for Neural Network Learning
Visual Attention and Learning of a Cognitive Robot
Feature Binding Through Temporally Correlated Neural Activity in a Robot Model of Visual Perception
Modeling Obstacle Avoidance Behavior of Flies Using an Adaptive Autonomous Agent
Minimalistic Approach to 3D Obstacle Avoidance Behavior from Simulated Evolution
Synthesis of Developmental and Evolutionary Modeling of Adaptive Autonomous Agents
Hebbian Multilayer Network in a Wheelchair Robot
Neural Networks in an Artificial Life Perspective
Incremental Acquisition of Local Networks for the Control of Autonomous Robots
Robot-Animal Interaction
The View-Graph Approach to Visual Navigation and Spatial Memory
Place Sequence Learning for Navigation
Learning to Communicate Through Imitation in Autonomous Robots
On Learning Soccer Strategies
A Model of Logic Like Inference by Memory Model PATON
Force Feedback Control of an Assembly Robot by Neural Networks
Neural Force Control (NFC) for Complex Manipulator Tasks
A Hybrid Path Planning System Combining the A*-Method and RBF-Networks*
An ASSOM Neural Network to Represent Actions Performed by an Autonomous Agent
The Application of Radial Basis Function Networks with Implicit Continuity Constraints
Autonomous Vehicle Guidance Using Analog VLSI Neuromorphic Sensors
Neural Network Visual Tracking System
Pole-Balancing with Different Evolved Neurocontrollers
Calibration of Parallel Robots by Evolutionary Algorithm
On Use of ANNs to Model and to Control Robot Manipulators
Identification of the Electric Arc of a Furnace
On Using MLPs for Step Size Control in Echo Cancellation for Hands- Free Telephone Sets
Neurocontrol of Nonlinear Dynamic Systems Subject to Unmeasured Disturbance Inputs
Multiple Multivariate Regression and Global Optimization in a Large Scale Thermodynamical Application
A Neural Network for Parameter Estimation of a DC Motor for Feed-Drives
State-of-the-Art and Recent Progress in Hybrid HMM/ANN Speech Recognition
Perceptual Grouping and Attention During Cortical Form and Motion Processing
Development of Shape Primitives from Images of Composite Objects Represented by Complex Cells
Corner Detection in Color Images by Multiscale Combination of End-Stopped Cortical Cells
Constructing the Cyclopean View
SAIM: A Model of Visual Attention and Neglect
Object Selection with Dynamic Neural Maps
A Pre-Processing Technique Based on the Wavelet Transform for Linear Autoassociators with Applications to Face Recognition
Recognition and Segmentation of Components of a Face by a Multi- Resolution Neural Network
Sensor Fusion for Mine Detection with the RNN
Image Segmentation for 3D Object Recognition Using Bidirectional Networks
A Feature Map Approach to Pose Estimation Based on Quaternions
Facial Feature Detection Using Neural Networks
Random Neural Network Recognition of Shaped Objects in Strong Clutter
AdaBoosting Neural Networks: Application to on-line Character Recognition
Cursive Script Recognition with Time Delay Neural Networks Using Learning Hints
A Powerful Tool for Fitting and Forecasting Deterministic and Stochastic Processes: the Kohonen Classification
Neural Model Selection: How to Determine the Fittest Criterion?
Long Term Forecasting by Combining Kohonen Algorithm and Standard Prevision
Predicting Time Series with Support Vector Machines
An Extended Neuron Model for Efficient Time-Series Generation and Prediction
Different Model Types for Short-Term Forecasting of Characteristic Load Points
Assessing Error Bars in Distribution Load Curve Estimation
Building High Performant Classifiers by Integrating Bayesian Learning, Mutual Information and Committee Techniques - A Case Study in Time Series Prediction
A Probability Estimation Based Criteria for Model Evaluation
Short-term Load Forecasting Based on Correlation Dimension Estimation and Neural Nets
Predictive Neural Models in Noisy Environment
A Neural-FIR Predictor: Minimum Size Estimation Based on Nonlinearity Analysis of Input Sequence
Modelling Conditional Probabilities with Committees of RVFL Networks
Classifying the Wear of Turning Tools with Neural Networks
Detection of Mobile Phone Fraud Using Supervised Neural Networks: A First Prototype
Wiener type SOM- and MLP-classifiers for Recognition of Dynamic Modes
Analysis of Wake/Sleep EEG with Competing Experts
Nonlinear Modelling of the Daily Heart Rhythm
Linear and Nonlinear Combinations of Connectionist Models for Local Diagnosis in Real-Time Telephone Network Traffic Management
Neural Network Adaptive Modeling of Battery Discharge Behavior
Neural Combustion Control
A Neural Network Based Fault Detector for Power Distribution Systems
Visualization and Analysis of Voltage Stability Using Self-Organizing Neural Networks
Classification of Meteorological Patterns
Mapping of Soil Contamination by Using Artificial Neural Networks and Multivariate Geostatistics
Pseudo-Resistive Networks and their Applications to Analog Collective Computation
Implementation of CNN Computing Technology
Implementation of a Masking Network for Speech Perception
Real-Time Analog VLSI Sensors for 2-D Direction of Motion
An Improved Multiplexed Resistive Network for Analog Image Preprocessing
An Analog VLSI Computational Engine for Early Vision Tasks
Spatio-Temporal Filter Adjustment from Evaluative Feedback for a Retina Implant
Simulation of Spiking Neural Networks on Different Hardware Platforms
Adaptive On-line Learning Algorithm for Robust Estimation of Parameters of Noisy Sinusoidal Signals
Analog Sequential Architecture for Neuro-Fuzzy Models VLSI Implementation
A Mixed-Signal VLSI Circuit for Skeletonization by Grassfire Transformation
Analysis and Improvement of Neural Network Robustness for On-Board Satellite Image Processing
On-Line Hebbian Learning for Spiking Neurons: Architecture of the Weight-Unit of NESPINN
Measurement of Finite-Precision Effects in Handwriting- and Speech- Recognition Algorithms
A Hardware Implementation of Hierarchical Neural Networks for Real-Time Quality Control Systems in Industrial Applications
The SAND Neurochip and its Embedding in the MiND System
Short- and Long-Term Dynamics in a Stochastic Pulse Stream Neuron Implementation in FPGA
FPGA Implementation of a Network of Neuronlike Adaptive Elements
Handwritten Digit Recognition with Binary Optical Perceptron
Mapping of Radial Basis Function Networks to Partial Tree Shape Parallel Neurocomputer
Attractor dynamics in an electronic neural network