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

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