From Natural to Artificial Neural Computation

by Mira, Jose; Sandoval, Francisco

• ISBN13: 9783540594970
• ISBN10: 3540594973
• Format: Paperback
• Copyright: 1995-05-24
• Publisher: Springer-Verlag New York Inc

Summary

This volume presents the proceedings of the International Workshop on Artificial Neural Networks, IWANN '95, held in Torremolinos near Malaga, Spain in June 1995.The book contains 143 revised papers selected from a wealth of submissions and five invited contributions; it covers all current aspects of neural computation and presents the state of the art of ANN research and applications. The papers are organized in sections on neuroscience, computational models of neurons and neural nets, organization principles, learning, cognitive science and AI, neurosimulators, implementation, neural networks for perception, and neural networks for communication and control.

Table of Contents

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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