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245  1  0 
_aBiological and Artificial Computation: From Neuroscience to Technology _h[electronic resource] : _bInternational WorkConference on Artificial and Natural Neural Networks, IWANN'97 Lanzarote, Canary Islands, Spain, June 4–6, 1997 Proceedings / _cedited by José Mira, Roberto MorenoDíaz, Joan Cabestany. 
264  1 
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c1997. 

300 
_aXLII, 1406 p. 856 illus. _bonline resource. 

336 
_atext _btxt _2rdacontent 

337 
_acomputer _bc _2rdamedia 

338 
_aonline resource _bcr _2rdacarrier 

347 
_atext file _bPDF _2rda 

490  1 
_aLecture Notes in Computer Science, _x03029743 ; _v1240 

505  0  _aMicrocircuits in the brain  Some reflections on the relationships between neuroscience and computation  Different types of temporal correlations obtained in pairs of thalamic visual neurons suggest different functional patterns of connectivity  Development of onoff and offon receptive fields using a semistochastic model  The classification of spatial, chromatic, and intensity features of simple visual stimuli by a network of retinal ganglion cells  Geometric model of orientation tuning dynamics in striate neurons  Neuronal circuitry in the medial cerebral cortex of lizards  Interactions between environmental and hormonal oscillations induce plastic changes in a simple neuroendocrine transducer  Current Source Density analysis as a tool to constrain the parameter space in hippocampal CA1 neuron models  Spontaneous activity of hippocampal cells in various physiological states  Neural network model of striatal complex  Symmetry and selforganization of the oculomotor neural integrator  Quantal neural mechanisms underlying movement execution and motor learning  A model of cerebellar saccadic motor learning using qualitative reasoning  Balance between intercellular coupling and input resistance as a necessary requirement for oscillatory electrical activity in pancreatic ?cells  Mechanisms of synchronization in the hippocampus and its role along development  Analysis of synfire chains above saturation  Allometry in the Justo Gonzalo's model of the sensorial cortex  Systems models of retinal cells: A classical example  A generic formulation of neural nets as a model of parallel and selfprogramming computation  Using an artificial neural network for studying the interneuronal layer of a leech neuronal circuit  Capacity and parasitic fixed points control in a recursive neural network  The use of prior knowledge in neural network configuration and training  A model for heterogeneous neurons and its use in configuring neural networks for classification problems  A computation theory for orientationselective simple cells based on the MAP estimation principle and Markov random fields  Competition between feedforward and lateral information processing in layered neural networks  Computing functions with spiking neurons in temporal coding  An introduction to Fuzzy State Automata  Statistical analysis of regularization constant — From Bayes, MDL and NIC points of view  Building digital libraries from paper documents, using ART based neurofuzzy systems  Parallelization of connectionist models based on a symbolic formalism  Generic neural network model and simulation toolkit  A neuralfuzzy technique for interpolating spatial data via the use of learning curve  Task decomposition based on class relations: A modular neural network architecture for pattern classification  Lower bounds of computational power of a synaptic calculus  Feed Forward Neural Network entities  Astrocytes and slow learning in the formation of distal cortical associations  Adaptation and other dynamic effects on neural signal transfer  Hebbian learning in networks of spiking neurons using temporal coding  An associative learning model for coupled neural oscillators  Random perturbations to Hebbian synapses of associative memory using a genetic algorithm  Phase memory in oscillatory networks  Strategies for autonomous adaptation and learning in dynamical networks  Modeling the parallel development of multiple featuremaps and topography in visual cortex  Stability and hebbian learning in populations of probabilistic neurons  Stochastic approximation techniques and circuits and systems associated tools for neural network optimization  Recursive heteroassociative memories for translation  Universal Binary and MultiValued Neurons paradigm: Conception, learning, applications  Learning a Markov process with a synchronous Boltzmann machine  The ?EM algorithm: A block connectable generalized leaning tool for neural networks  Training simple recurrent networks through gradient descent algorithms  On simultaneous weight and architecture learning  Evolution of structure and learning — A GP approach  Selforganizing formation of receptive fields and competitive systems  Optimizing a neural network architecture with an adaptive parameter genetic algorithm  Selforganizing symbolic learned rules  Viewing a class of neurodynamics on parameter space  Hopfield neural network applied to optimization problems: Some theoretical and simulation results  A genetic approach to computing Independent And Parallelism in logic programs  Predicting toxicity of complex mixtures by artificial neural networks  Regularisation by Convolution in Symmetric?Stable function networks  Continuation of chaotic fields by RBFNN  Improving the performance of Piecewise linear Separation incremental algorithms for practical hardware implementations  Accurate decomposition of standard MLP classification responses into symbolic rules  A hybrid intelligent system for the preprocessing of Fetal Heart rate signals in antenatal testing  The pattern extraction architecture: A connectionist alternative to the von Neumann architecture  A twolevel heterogeneous hybrid model  Interpretation of a hierarchical neural network  Cognitive processes in social interactions — A neural networks' approach  Adding phase to recurrent backpropagation networks: An application to binding tasks in vision  Schemabased learning: Biologically inspired principles of dynamic organization  Digital connectionist hardware: Current problems and future challenges  EpsiloNN — A specification language for the efficient parallel simulation of neural networks  Forwardbackward building blocks for evolving neural networks with intrinsic learning behaviours  A cascade network algorithm employing Progressive RPROP  Tight bounds on the size of neural networks for classification problems  On the possibilities of the limited precision weights neural networks in classification problems  A modified backpropagation algorithm to tolerate weight errors  A high performance SOFM hardwaresystem  On application incentive and constraints for neural network hardware development  A fast Kohonen net implementation for spertII  Synthesis and optimization of a bitserial pipeline kernel processor  A hardware implementation of CNNs based on Pulse Stream Techniques  Evaluation of the CNAPS neurocomputer for the simulation of MLPS with receptive fields  AFAN, a tool for the automatic design of fuzzy and neural controllers  A fully stochastic fuzzy logic controller  MultiNeural Networks hardware and software architecture: Application of the divide to simplify paradigm DTS  A fuzzy controller for switching regulators with programmable control surfaces  The Kohonen algorithm: A powerful tool for analysing and representing multidimensional quantitative and qualitative data  Constrained neural network for estimating sensor reliability in sensors fusion  Statistical analysis of the main parameters in the definition of Radial Basis Function networks  Structural level comparison of two basic paradigms in neural computation  Symmetry: Between indecision and equality of choice  A nonconvergent online training algorithm for neural networks  Using classical and evolutive neural models in industrial applications: A case study for an automatic Coin Classifier  A new type of unsupervised growing neural network for biological sequence classification that adopts the topology of a phylogenetic tree  Classification of the onset of respiratory difficulties in ventilation assisted neonates  A neural network approach for symbolic interpretation in critical care  ECG beat classification with synaptic delay based artificial neural networks  Neural networkbased insulin infusion control for an  
505  0  _a insulinpump, using discontinuous blood glucose measurements  Infraclinic breast carcinoma: Application of neural networks techniques for the indication of radioguided biopsias  Detection of Glaucoma by means of ANNs  A comparative analysis of the neonatal prognosis problem using artificial neural networks, statistical techniques and certainty management techniques  Models of visual processing derived from cortical microelectrode recordings  Rotation invariant IR object recognition using adaptive kernel subspace projections with a neural network  Neural networks based projectivity invariant recognition of flat patterns  The instant laboratory: Bringing intelligence to the workfloor  A biological frontend processing for speech recognition  Non parametric coding of speech by means of a MLP with hints  Graylevel object segmentation with a network of FitzHughNagumo oscillators  Multidimensional filtering inspired by retinocortical projection: Application to texture segmentation  A competitive neural network for blind separation of sources based on geometric properties  A new bioinspired algorithm for early vision edge detection and image segmentation  Function of biological asymmetrical neural networks  Identification of spectral features as sound localization cues in the external ear acoustics  Phoneme recognition by means of predictive neural networks  Shiftinvariant fuzzymorphology neural network for occluded target recognition  A comparative study between linear and nonlinear speech prediction  Recognition model with extension fields  A GAoptimized neural network for classification of biological particles from electronmicroscopy images  Application of artificial neural networks to the design and implementation of electronic olfactory systems  Application of a multilayer discretetime CNN to deformable models  Spokendigit recognition using selforganizing maps with perceptual preprocessing  Noise discrimination .  
520  _aThis book constitutes the refereed proceedings of the International WorkConference 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.  
650  0  _aComputer science.  
650  0  _aNeurosciences.  
650  0  _aComputer communication systems.  
650  0  _aComputers.  
650  0  _aArtificial intelligence.  
650  0  _aAnimal physiology.  
650  0  _aComplexity, Computational.  
650  1  4  _aComputer Science. 
650  2  4  _aComputation by Abstract Devices. 
650  2  4  _aArtificial Intelligence (incl. Robotics). 
650  2  4  _aComplexity. 
650  2  4  _aNeurosciences. 
650  2  4  _aComputer Communication Networks. 
650  2  4  _aAnimal Physiology. 
700  1 
_aMira, José. _eeditor. 

700  1 
_aMorenoDíaz, Roberto. _eeditor. 

700  1 
_aCabestany, Joan. _eeditor. 

710  2  _aSpringerLink (Online service)  
773  0  _tSpringer eBooks  
776  0  8 
_iPrinted edition: _z9783540630470 
830  0 
_aLecture Notes in Computer Science, _x03029743 ; _v1240 

856  4  0  _uhttp://dx.doi.org/10.1007/BFb0032457 
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950  _aComputer Science (Springer11645)  
999 
_c14313 _d14313 