Biological and Artificial Computation: From Neuroscience to Technology: International Work-Conference on Artificial and Natural Neural Networks, IWANN'97 Lanzarote, Canary Islands, Spain, June 4–6, 1997 Proceedings

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

This book constitutes the refereed proceedings of the International Work-Conference on Artificial Neural Networks, IWANN'97, held in Lanzarote, Canary Islands, Spain, in June 1997.
The volume presents 142 revised full papers selected from an overwhelming wealth of submissions. The volume is divided into sections on biological foundations of neural computation, formal tools and computational models of neurons and neural nets architectures, plasticity phenomena, complex systems dynamics, cognitive science and AI, neural nets simulation, emulation and implementation, methodology for data analysis, task selection and net design, neural networks for perception, and neural networks for communications, control and robotics.

Author(s): Javier DeFelipe (auth.), José Mira, Roberto Moreno-Díaz, Joan Cabestany (eds.)
Series: Lecture Notes in Computer Science 1240
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1997

Language: English
Pages: 1406
Tags: Computation by Abstract Devices;Artificial Intelligence (incl. Robotics);Systems and Information Theory in Engineering;Neurosciences;Computer Communication Networks;Animal Physiology

Microcircuits in the brain....Pages 1-14
Some reflections on the relationships between neuroscience and computation....Pages 15-26
Different types of temporal correlations obtained in pairs of thalamic visual neurons suggest different functional patterns of connectivity....Pages 27-34
Development of on-off and off-on receptive fields using a semistochastic model....Pages 35-43
The classification of spatial, chromatic, and intensity features of simple visual stimuli by a network of retinal ganglion cells....Pages 44-53
Geometric model of orientation tuning dynamics in striate neurons....Pages 54-60
Neuronal circuitry in the medial cerebral cortex of lizards....Pages 61-71
Interactions between environmental and hormonal oscillations induce plastic changes in a simple neuroendocrine transducer....Pages 72-81
Current Source Density analysis as a tool to constrain the parameter space in hippocampal CA1 neuron models....Pages 82-90
Spontaneous activity of hippocampal cells in various physiological states....Pages 91-102
Neural network model of striatal complex....Pages 103-115
Symmetry and self-organization of the oculomotor neural integrator....Pages 116-123
Quantal neural mechanisms underlying movement execution and motor learning....Pages 124-132
A model of cerebellar saccadic motor learning using qualitative reasoning....Pages 133-145
Balance between intercellular coupling and input resistance as a necessary requirement for oscillatory electrical activity in pancreatic β-cells....Pages 146-153
Mechanisms of synchronization in the hippocampus and its role along development....Pages 154-161
Analysis of synfire chains above saturation....Pages 162-168
Allometry in the Justo Gonzalo's model of the sensorial cortex....Pages 169-177
Systems models of retinal cells: A classical example....Pages 178-194
A generic formulation of neural nets as a model of parallel and self-programming computation....Pages 195-206
Using an artificial neural network for studying the interneuronal layer of a leech neuronal circuit....Pages 207-216
Capacity and parasitic fixed points control in a recursive neural network....Pages 217-226
The use of prior knowledge in neural network configuration and training....Pages 227-236
A model for heterogeneous neurons and its use in configuring neural networks for classification problems....Pages 237-246
A computation theory for orientation-selective simple cells based on the MAP estimation principle and Markov random fields....Pages 247-256
Competition between feed-forward and lateral information processing in layered neural networks....Pages 257-264
Computing functions with spiking neurons in temporal coding....Pages 265-272
An introduction to Fuzzy State Automata....Pages 273-283
Statistical analysis of regularization constant — From Bayes, MDL and NIC points of view....Pages 284-293
Building digital libraries from paper documents, using ART based neuro-fuzzy systems....Pages 294-303
Parallelization of connectionist models based on a symbolic formalism....Pages 304-312
Generic neural network model and simulation toolkit....Pages 313-322
A neural-fuzzy technique for interpolating spatial data via the use of learning curve....Pages 323-329
Task decomposition based on class relations: A modular neural network architecture for pattern classification....Pages 330-339
Lower bounds of computational power of a synaptic calculus....Pages 340-348
Feed Forward Neural Network entities....Pages 349-359
Astrocytes and slow learning in the formation of distal cortical associations....Pages 360-369
Adaptation and other dynamic effects on neural signal transfer....Pages 370-379
Hebbian learning in networks of spiking neurons using temporal coding....Pages 380-389
An associative learning model for coupled neural oscillators....Pages 390-397
Random perturbations to Hebbian synapses of associative memory using a genetic algorithm....Pages 398-407
Phase memory in oscillatory networks....Pages 408-416
Strategies for autonomous adaptation and learning in dynamical networks....Pages 417-426
Modeling the parallel development of multiple featuremaps and topography in visual cortex....Pages 427-432
Stability and hebbian learning in populations of probabilistic neurons....Pages 433-442
Stochastic approximation techniques and circuits and systems associated tools for neural network optimization....Pages 443-452
Recursive hetero-associative memories for translation....Pages 453-462
Universal Binary and Multi-Valued Neurons paradigm: Conception, learning, applications....Pages 463-472
Learning a Markov process with a synchronous Boltzmann machine....Pages 473-482
The α-EM algorithm: A block connectable generalized leaning tool for neural networks....Pages 483-492
Training simple recurrent networks through gradient descent algorithms....Pages 493-500
On simultaneous weight and architecture learning....Pages 501-509
Evolution of structure and learning — A GP approach....Pages 510-517
Self-organizing formation of receptive fields and competitive systems....Pages 518-526
Optimizing a neural network architecture with an adaptive parameter genetic algorithm....Pages 527-535
Self-organizing symbolic learned rules....Pages 536-545
Viewing a class of neurodynamics on parameter space....Pages 546-555
Hopfield neural network applied to optimization problems: Some theoretical and simulation results....Pages 556-565
A genetic approach to computing Independent And Parallelism in logic programs....Pages 566-575
Predicting toxicity of complex mixtures by artificial neural networks....Pages 576-587
Regularisation by Convolution in Symmetric-α-Stable function networks....Pages 588-596
Continuation of chaotic fields by RBFNN....Pages 597-606
Improving the performance of Piecewise linear Separation incremental algorithms for practical hardware implementations....Pages 607-616
Accurate decomposition of standard MLP classification responses into symbolic rules....Pages 617-627
A hybrid intelligent system for the pre-processing of Fetal Heart rate signals in antenatal testing....Pages 628-633
The pattern extraction architecture: A connectionist alternative to the von Neumann architecture....Pages 634-643
A two-level heterogeneous hybrid model....Pages 644-650
Interpretation of a hierarchical neural network....Pages 651-659
Cognitive processes in social interactions — A neural networks' approach....Pages 660-667
Adding phase to recurrent backpropagation networks: An application to binding tasks in vision....Pages 668-677
Schema-based learning: Biologically inspired principles of dynamic organization....Pages 678-687
Digital connectionist hardware: Current problems and future challenges....Pages 688-713
EpsiloNN — A specification language for the efficient parallel simulation of neural networks....Pages 714-722
Forward-backward building blocks for evolving neural networks with intrinsic learning behaviours....Pages 723-732
A cascade network algorithm employing Progressive RPROP....Pages 733-742
Tight bounds on the size of neural networks for classification problems....Pages 743-752
On the possibilities of the limited precision weights neural networks in classification problems....Pages 753-762
A modified backpropagation algorithm to tolerate weight errors....Pages 763-771
A high performance SOFM hardware-system....Pages 772-781
On application incentive and constraints for neural network hardware development....Pages 782-791
A fast Kohonen net implementation for spert-II....Pages 792-800
Synthesis and optimization of a bit-serial pipeline kernel processor....Pages 801-810
A hardware implementation of CNNs based on Pulse Stream Techniques....Pages 811-816
Evaluation of the CNAPS neuro-computer for the simulation of MLPS with receptive fields....Pages 817-824
AFAN, a tool for the automatic design of fuzzy and neural controllers....Pages 825-833
A fully stochastic fuzzy logic controller....Pages 834-840
Multi-Neural Networks hardware and software architecture: Application of the divide to simplify paradigm DTS....Pages 841-850
A fuzzy controller for switching regulators with programmable control surfaces....Pages 851-860
The Kohonen algorithm: A powerful tool for analysing and representing multidimensional quantitative and qualitative data....Pages 861-871
Constrained neural network for estimating sensor reliability in sensors fusion....Pages 872-881
Statistical analysis of the main parameters in the definition of Radial Basis Function networks....Pages 882-891
Structural level comparison of two basic paradigms in neural computation....Pages 892-902
Symmetry: Between indecision and equality of choice....Pages 903-912
A non-convergent on-line training algorithm for neural networks....Pages 913-921
Using classical and evolutive neural models in industrial applications: A case study for an automatic Coin Classifier....Pages 922-931
A new type of unsupervised growing neural network for biological sequence classification that adopts the topology of a phylogenetic tree....Pages 932-941
Classification of the onset of respiratory difficulties in ventilation assisted neonates....Pages 942-951
A neural network approach for symbolic interpretation in critical care....Pages 952-961
ECG beat classification with synaptic delay based artificial neural networks....Pages 962-970
Neural network-based insulin infusion control for an insulin-pump, using discontinuous blood glucose measurements....Pages 971-977
Infraclinic breast carcinoma: Application of neural networks techniques for the indication of radioguided biopsias....Pages 978-985
Detection of Glaucoma by means of ANNs....Pages 986-994
A comparative analysis of the neonatal prognosis problem using artificial neural networks, statistical techniques and certainty management techniques....Pages 995-1004
Models of visual processing derived from cortical microelectrode recordings....Pages 1005-1027
Rotation invariant IR object recognition using adaptive kernel subspace projections with a neural network....Pages 1028-1037
Neural networks based projectivity invariant recognition of flat patterns....Pages 1038-1047
The instant laboratory: Bringing intelligence to the workfloor....Pages 1048-1057
A biological front-end processing for speech recognition....Pages 1058-1067
Non parametric coding of speech by means of a MLP with hints....Pages 1068-1074
Gray-level object segmentation with a network of FitzHugh-Nagumo oscillators....Pages 1075-1084
Multidimensional filtering inspired by retino-cortical projection: Application to texture segmentation....Pages 1085-1094
A competitive neural network for blind separation of sources based on geometric properties....Pages 1095-1106
A new bio-inspired algorithm for early vision edge detection and image segmentation....Pages 1107-1114
Function of biological asymmetrical neural networks....Pages 1115-1125
Identification of spectral features as sound localization cues in the external ear acoustics....Pages 1126-1135
Phoneme recognition by means of predictive neural networks....Pages 1136-1143
Shift-invariant fuzzy-morphology neural network for occluded target recognition....Pages 1144-1153
A comparative study between linear and nonlinear speech prediction....Pages 1154-1163
Recognition model with extension fields....Pages 1164-1173
A GA-optimized neural network for classification of biological particles from electron-microscopy images....Pages 1174-1182
Application of artificial neural networks to the design and implementation of electronic olfactory systems....Pages 1183-1192
Application of a multilayer discrete-time CNN to deformable models....Pages 1193-1202
Spoken-digit recognition using self-organizing maps with perceptual pre-processing....Pages 1203-1212
Noise discrimination and autoassociative neural networks....Pages 1213-1220
Modified Boltzmann machine for an efficient distributed implementation....Pages 1221-1232
Simulation of MPEG video traffic using neural networks....Pages 1233-1240
A continuous time structure for filtering and prediction using Hopfield Neural Networks....Pages 1241-1250
Structure-adaptable neurocontrollers: A hardware-friendly approach....Pages 1251-1259
A new QRS detector based on neural network....Pages 1260-1269
Application of Neural Networks for local modeliation of the boiler furnace in thermal power plants....Pages 1270-1278
Evolved neurocontrollers for pole-balancing....Pages 1279-1287
Artificial neural networks for the computation of traffic queues....Pages 1288-1297
Unsupervised neural network for forecasting alarms in hydroelectric power plant....Pages 1298-1306
Motor sequence processing with an artificial learning system....Pages 1307-1314
On-line continuous weld monitoring using neural networks....Pages 1315-1323
Combining reinforcement learning and differential inverse kinematics for collision-free motion of multilink manipulators....Pages 1324-1333
Short-term peak load forecasting: Statistical methods versus Artificial Neural Networks....Pages 1334-1343
Integration of Self-Organizing Feature Maps and reinforcement learning in robotics....Pages 1344-1354
Dynamic path planning with spiking neural networks....Pages 1355-1363
Implementation of a basic reactive behavior in mobile robotics through artificial neural networks....Pages 1364-1373
Visual probe mark inspection, using hardware implementation of artificial neural networks, in VLSI production....Pages 1374-1383
Teleoreactive neural networks....Pages 1384-1393