Are There Universal Principles of Brain Computation? | p. 1 |
Modeling Cortical Networks | p. 7 |
Cooperative Organization of Connectivity Patterns and Receptive Fields in the Visual Pathway: Application to Adaptive Thresholding | p. 15 |
Neurobiological Inspiration for the Architecture and Functioning of Cooperating Neural Networks | p. 24 |
Synaptic Modulation Based Artificial Neural Networks | p. 31 |
Self-Organization of Cortical Receptive Fields and Columnar Structures in a Hebb Trained Neural Network | p. 37 |
An Analytical Solution of the Compartmental Model for Use in Local Learning in Artificial Neural Networks | p. 45 |
Should ANN be ANGN? | p. 53 |
Modeling Retinal High and Low Contrast Sensitivity Filters | p. 61 |
Neural Micro-Structures. Three Simple Models | p. 69 |
Adaptive Hierarchical Structures | p. 76 |
Optimal Range of Input Resistance in the Oscillatory Behavior of the Pancreatic [beta]-Cell | p. 85 |
A Computational Model of Periodic-Pattern-Selective Cells | p. 90 |
Modeling and Analysis of Some Neural Mechanisms for the Genesis and Control of Respiratory Pattern | p. 100 |
A Neural Network Model for Plasticity in Adult Striate Cortex | p. 108 |
Regenerative-Type Neural Interface | p. 114 |
New Perspectives in Auditory Coding: Bases for a New Cochlear Behavioral Model | p. 121 |
Nervous System as a Closed Neural Network: Behavioural and Cognitive Consequences | p. 130 |
Local Accumulation of Persistent Activity at Synaptic Level: Application to Motion Analysis | p. 137 |
High Order Boltzmann Machines with Continuous Units: Some Experimental Results | p. 144 |
An Adaptive Control Model of a Locomotion by the Central Pattern Generator | p. 151 |
Self-Consistent Neural Receptive Fields | p. 158 |
A Simple Probabilistic Neural Model Producing Multimodal ISHs | p. 166 |
An Associative Neural Network to Model the Developing Mammalian Hippocampus | p. 174 |
The Implementation of Propositional Logic in Random Neural Networks | p. 180 |
A Learning Rule for Extracting Temporal Invariances | p. 189 |
The Influence of the Sigmoid Function Parameters on the Speed of Backpropagation Learning | p. 195 |
General Transient Length Upper Bound for Recurrent Neural Networks | p. 202 |
On Some Methods in Neuromathematics | p. 209 |
Logistic Networks With DNA-Like Encoding and Interactions | p. 216 |
A Review on the Stochastic Firing Behaviour of Real Neurons and How it can be Modelled | p. 223 |
The BP-[lambda]L1 Algorithm: Non-Chaotic and Accelerated Learning in a MLP Network | p. 231 |
Analysis of Pruning in Backpropagation Networks for Artificial and Real World Mapping Problems | p. 239 |
Oscillatory Networks with Hebbian Matrix of Connections | p. 246 |
A new Algorithm for Implementing a Recursive Neural Network | p. 252 |
Visual Information Processing from the Viewpoint of Symbolic Operations | p. 260 |
Dentritic Computation in the Brain | p. 268 |
Stochastic Neuronal Models with Realistic Synaptic Inputs and Oscillatory Inputs | p. 276 |
A Neural Paradigm for Controlling Autonomous Systems with Reflex Behaviour and Learning Capability | p. 283 |
Fast Automatic Architecture Selection in RBF Networks | p. 291 |
Collective Behaviour of a Chain of Hopfield Subnetworks Interconnected Unidirectionally | p. 298 |
A Comparative Study of Three Neural Networks that use Soft Competition | p. 308 |
Neural Networks and Genetic Algorithms for the Attitude Control Problem | p. 315 |
Self-Organising Artificial Neural Networks | p. 322 |
A Distributed Classifier Based on Yprel Networks Cooperation | p. 330 |
A Fractal, Selforganizing Map with Partially Chaotic Neurons | p. 338 |
Multiple Self-Organizing Maps for Supervised Learning | p. 345 |
An Application of the Saturated Attractor Analysis to Three Typical Models | p. 353 |
Learning in Evolutive Neural Architectures: An Ill-Posed Problem? | p. 361 |
Automatic Scaling using Gamma Learning for Feedforward Neural Networks | p. 374 |
Determining the Significance of Input Parameters using Sensitivity Analysis | p. 382 |
Multi-Valued Neurons: Learning, Networks, Application to Image Recognition and Extrapolation of Temporal Series | p. 389 |
Individual Evolutionary Algorithm and its Application to Learning of Nearest Neighbor Based MLP | p. 396 |
A Practical View of Suboptimal Bayesian Classification with Radial Gaussian Kernels | p. 404 |
Schema Based Learning and Learning to Detour | p. 412 |
Neurons with Continuous Varying Activation in Self-Organizing Maps | p. 419 |
Improving Back-Propagation: Epsilon-Back-Propagation | p. 427 |
Finite State Automata and Connectionist Machines: A Survey | p. 433 |
Learning Transformed Prototypes (LTP) - A Statistical Pattern Classification Technique of Neural Networks | p. 441 |
Fuzzy Function Estimators as Basis on Learning from Experience | p. 448 |
Connectionists and Statisticians, Friends or Foes? | p. 454 |
Unsupervised Neural Networks for Speech Perception with Cochlear Implant Systems for the Profoundly Deaf | p. 462 |
Obstacle Avoidance by Means of an Operant Conditioning Model | p. 471 |
Qualitative Approach to Gradient Based Learning Algorithms | p. 478 |
Character Recognition with Neural Assemblies | p. 486 |
Learning by Attentional Scanning | p. 492 |
The Synthesis of the Ranked Neural Networks Applying Genetic Algorithm with the Dynamic Probability of Mutation | p. 498 |
Global Versus Local Heuristic Terminal Attractor | p. 505 |
Dynamic Learning of Radial Basis Functions for Fuzzy Clustering | p. 513 |
Incremental Learning with a Stopping Criterion - Experimental Results | p. 519 |
Learning Algorithm with Gaussian Membership Function for Fuzzy RBF Neural Networks | p. 527 |
Neural Network Initialization | p. 535 |
Bidirectional Neural Networks Reduce Generalisation Error | p. 543 |
Balancing Bias and Variance: Network Topology and Pattern Set Reduction Techniques | p. 551 |
Priming an Artificial Neural Classifier | p. 559 |
Artificial Neuroconsciousness an Update | p. 566 |
Physical and Linguistic problems in the Modelling of Consciousness by Neural Networks | p. 584 |
A Neural Network Model for the Velocity Vector of an Object and its Consistency with Psychological Phenomena | p. 589 |
Implementation and Evaluation of a Relevance Feedback Device Based on Neural Networks | p. 597 |
Second-Order Recurrent Neural Networks Can Learn Regular Grammars from Noisy Strings | p. 605 |
Extracting DNF Rules From Artificial Neural Networks | p. 611 |
Dynamic Symbol Grounding, State Construction and the Problem of Teleology | p. 619 |
Analysis of Industrial Economics by means of Neural Nets | p. 627 |
Effects of Spatial Frecuency and Stimulus Size on the Orientation Sensitivity of Humans | p. 634 |
Object Oriented Design of a Simulator for Large BP Neural Networks | p. 642 |
Introducing XSim: A Neural Network Simulator that Incorporates Biological Parameters | p. 650 |
NETTOOL A Hybrid Connectionist-Symbolic Development Environment | p. 658 |
EL-SIM: a Development Environment for Neuro-Fuzzy Intelligent Controllers | p. 666 |
Packlib, an Interactive Environment to Develop Modular Software for Data Processing | p. 673 |
NSL-Neural Simulation Language | p. 683 |
Low-Cost Accelerator for the Simulation of Cellular Neural Networks | p. 689 |
A VLSI System for Neural Bayesian and LVQ Classification | p. 696 |
An Associative Processor Dedicated to Classification by Neural Methods | p. 704 |
Hardware-Oriented Models for VLSI Implementation of Self-Organizing Maps | p. 712 |
Hardware Requirements for Spike-Processing Neural Networks | p. 720 |
A VLSI Approach to the Implementation of Additive and Shunting Neural Networks | p. 728 |
A Low-Power Analog Implementation of Cellular Neural Networks | p. 736 |
Asynchronously Parallel Boltzmann Machines Mapped onto Distributed-Memory Multiprocessors | p. 744 |
A Coprocessor Card for Fast Neural Network Emulation | p. 752 |
Digital Hardware Implementation of ROI Incremental Algorithms | p. 761 |
Comparing Implementations of Radial Basis Function Neural Networks on Three Parallel Machines | p. 771 |
Implementing Radial Basis Functions Neural Networks on the Systolic MANTRA Machine | p. 781 |
A Mixed Parallel-Sequential SHNN for Large Networks | p. 789 |
A Modular VLSI Architecture for Neural Networks Implementation | p. 794 |
A Massively Parallel Neurocomputer with a Reconfigurable Arithmetical Unit | p. 800 |
An All-Optical Forward Propagation Multilayer Neural Network | p. 807 |
A VLSI Current Mode Synapse Chip | p. 815 |
Optimal Mapping of Neural Networks onto FPGA's - A New Constructive Algorithm | p. 822 |
A CPWM Synapsis for Weighted Radial Basis Functions | p. 830 |
Test Pattern Generation for Analog Circuits Using Neural Networks and Evolutive Algorithms | p. 838 |
About Some Perception Problems in Neural Networks | p. 845 |
Optimization Neural Networks for Image Segmentation | p. 860 |
Segmentation of Range Images: A Neural Network Approach | p. 868 |
A Neural Architecture for Preattentive Segmentation of Sewage Pipes Video Images | p. 875 |
A CNN Model For Grey Scale Image Processing | p. 882 |
Kohonen's Self Organizing Maps for Contour Segmentation of Gray Level and Color Images | p. 890 |
A Geometrical Based Procedure for Source Separation Mapped to a Neural Network | p. 898 |
Quasi-Optimum Combination of Multilayer Perceptrons for Adaptive Multiclass Pattern Recognition | p. 906 |
A Text Recognition System Based on a Neural Network and on a Deformed System | p. 913 |
Simultaneous Recognition of Multiple Objects Using the MEM Model | p. 919 |
On-line Handwritten Character Recognition by a Hybrid Method based on Neural Networks and Pattern Matching | p. 926 |
Analysis and Application of the STORE Neural Model in Recognizing Handwritten Symbols | p. 934 |
An Adaptive Orthogonal Associative Memory and its Application to Character Recognition | p. 942 |
Texture Classification on Real Time Using Semi-cover Vector and an Orthogonal Neural Network | p. 948 |
An Architecture for Texture Segmentation: from Energy Features to Region Detection | p. 956 |
A Lattice-Based Time-Delay Neural Network for Speech Processing | p. 963 |
Acquisition of Internal Representation by Learning of Identity-mapping Using Overload Learning | p. 971 |
A Multiacuity Connectionist Model for Local Speed Estimation | p. 979 |
Using Artificial Neural Networks for Ultrasonic Signals Processing from Simple Geometric Shapes | p. 987 |
A Hierarchical Neural Network for Mobile Visual Tracking with a Robot Head | p. 993 |
Short Term Load Forecasting Using Neural Nets | p. 1001 |
Image Compression Using Feedforward Neural Networks - Hierarchical Approach | p. 1009 |
Neural Approaches to Robot Control Four Representative Applications | p. 1016 |
On Line Identification of Causal Relationships Between Variables in the Feed Water System of a Nuclear Power Plant | p. 1036 |
Dynamic Neural Units for Nonlinear Dynamic Systems Identification | p. 1045 |
Optimal Identification Using Feed-Forward Neural Networks | p. 1052 |
Recurrent Neural Networks for Identification of Friction | p. 1060 |
Solving an End-Effector Positioning Problem by Hopfield Neural Network | p. 1068 |
Visuomotor Control using an Artificial Neural Network | p. 1076 |
Learning the Visuomotor Coordination of a Mobile Robot by Using the Invertible Kohonen Map | p. 1084 |
Neural Networks for Automatic Fuzzy Control System Design | p. 1092 |
Supervised Classification With Variable Kernel Estimators | p. 1099 |
Daily Electrical Power Curves: Classification and Forecasting Using a Kohonen Map | p. 1107 |
CMAC Real-Time Adaptive Control Implementation on a D.S.P. Based Card | p. 1114 |
Neural Networks in Digital Data Transmission | p. 1121 |
A New Neural Network Approach to the Floorplanning of Hierarchical VLSI Designs | p. 1128 |
A Neural Network Approach to Quality Control Charts | p. 1135 |
Bankruptcy Prediction with Artificial Neural Networks | p. 1142 |
Author Index | p. 1147 |
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