From Natural to Artificial Neural Computation

Are there universal principles of brain computation?.- Modeling cortical networks.- Cooperative organization of connectivity patterns and receptive fields in the visual pathway: application to adaptive tresholding.- Neurobiological inspiration for the architecture and functioning of cooperating neural networks.- Synaptic modulation based artificial neural networks.- Self-organization of cortical receptive fields and columnar structures in a Hebb-trained neural network.- An analytical solution of the compartmental model for use in local learning in artificial neural networks.- Should ANN be ANGN?.- Modeling retinal high and low contrast sensitivity filters.- Neural micro-structures three simple models.- Adaptive hierarchical structures.- Optimal range of input resistance in the oscillatory behavior of the pancreatic ?-cell.- A computational model of periodic-pattern-selective cells.- Modeling and analysis of some neural mechanisms for the genesis and control of respiratory pattern.- A neural network model for plasticity in adult striate cortex.- Regenerative-type neural interface.- New perspectives in auditory coding: Bases for a new cochlear behavioural model.- Nervous system as a closed neuronal network: behavioral and cognitive consequences.- Local accumulation of persistent activity at synaptic level: Application to motion analysis.- High Order Boltzmann Machines with continuous units: Some experimental results.- An adaptive control model of a locomotion by the central pattern generator.- Self-consistent neural receptive fields.- A simple probabilistic neural model producing multimodal ISHs.- An associative neural network to model the developing mammalian hippocampus.- The implementation of propositional logic in random neural networks.- A learning rule forextracting temporal invariances.- The influence of the sigmoid function parameters on the speed of backpropagation learning.- General transient length upper bound for recurrent neural networks.- On some methods in neuromathematics (or the development of mathematical methods for the description of structure and function in neurons).- Logistic networks with DNA-like encoding and interactions.- A review on the stochastic firing behaviour of real neurons and how it can be modelled.- The BP-?L1 algorithm: Non-chaotic and accelerated learning in a MLP network.- Analysis of pruning in backpropagation networks for artificial and real world mapping problems.- Oscillatory networks with Hebbian matrix of connections.- A new algorithm for implementing a recursive neural network.- Visual information processing from the viewpoint of symbolic operations.- Dentritic computation in the brain.- Stochastic neuronal models with realistic synaptic inputs and oscillatory inputs.- A neural paradigm for controlling autonomous systems with reflex behaviour and learning capability.- Fast automatic architecture selection in RBF networks.- Collective behaviour of a chain of Hopfield subnetworks interconnected unidirectionally.- A comparative study of three neural networks that use soft competition.- Neural networks and genetic algorithms for the attitude control problem.- Self-organising Artifical Neural Networks.- A distributed classifier based on Yprel networks cooperation.- A fractal, selforganizing map with partially chaotic neurons.- Multiple self-organizing maps for supervised learning.- An application of the saturated attractor analysis to three typical models.- Learning in evolutive neural architectures: An ill-posed problem?.- Automatic scaling using gamma learning for feedforwardneural networks.- Determining the significance of input parameters using sensitivity analysis.- Multi-valued neurons: Learning, networks, application to image recognition and extrapolation of temporal series.- Individual evolutionary algorithm and its application to learning of nearest neighbor based MLP.- A practical view of suboptimal Bayesian classification with radial Gaussian kernels.- Schema based learning & learning to Detour.- Neurons with continuous varying activation in self-organizing maps.- Improving back-propagation: Epsilon-back-propagation.- Finite State Automata and Connectionist Machines: A survey.- Learning transformed prototypes (LTP) - A statistical pattern classification technique of neural networks.- Fuzzy function estimators as basis on learning from experience.- Connectionists and statisticians, friends or foes?.- Unsupervised neural networks for speech perception with Cochlear Implant systems for the profoundly deaf.- Obstacle avoidance by means of an operant conditioning model.- Qualitative approach to gradient based learning algorithms.- Character recognition with neural assemblies.- Learning by attentional scanning.- The synthesis of the ranked neural networks applying genetic algorithm with the dynamic probability of mutation.- Global versus local Heuristic Terminal Attractor.- Dynamic learning of radial bases functions for fuzzy clustering.- Incremental learning with a stopping criterion experimental results.- Learning algorithm with gaussian membership function for Fuzzy RBF Neural Networks.- Neural network initialization.- Bidirectional Neural Networks reduce generalisation error.- Balancing bias and variance: Network topology and pattern set reduction techniques.- Priming an artificial neural classifier.- Artificial neuroconsciousnessan update.- Physical and linguistic problems in the modelling of consciousness by neural networks.- A neural network model for the velocity vector of an object and its consistency with psychological phenomena.- Implementation and evaluation of a Relevance Feedback device based on Neural Networks.- Second-order recurrent neural networks can learn regular grammars from noisy strings.- Extracting DNF rules from artificial neural networks.- Dynamic symbol grounding, state construction and the problem of teleology.- Analysis of industrial economics by means of neural nets.- Effects of spatial frequency and stimulus size on the orientation sensitivity of humans.- Object oriented design of a simulator for large BP Neural Networks.- Introducing XSim: A neural network simulator that incorporates biological parameters.- NETTOOL: A hybrid connectionist-symbolic development environment.- EL-SIM: a development environment for neuro-fuzzy intelligent controllers.- Packlib, an interactive environment to develop modular software for data processing.- NSL - Neural Simulation Language.- Low-cost accelerator for the simulation of Cellular Neural Networks.- A VLSI system for neural Bayesian and LVQ classification.- An associative processor dedicated to classification by neural methods.- Hardware-Oriented models for VLSI implementation of Self-Organizing Maps.- Hardware requirements for spike-processing neural networks.- A VLSI approach to the implementation of additive and shunting neural networks.- A low-power analog implementation of Cellular Neural Networks.- Asynchonously parallel Boltzmann Machines mapped onto distributed-memory multiprocessors.- A coprocessor card for fast neural network emulation.- Digital hardware implementation of ROI incremental algorithms.- Comparingimplementations of Radial Basis Function Neural Networks on three parallel machines.- Implementing Radial Basis Functions Neural Networks on the systolic MANTRA machine.- A mixed parallel-sequential SHNN for large networks.- A modular VLSI architecture for neural networks implementation.- A massively parallel neurocomputer with a reconfigurable arithmetical unit.- An all-optical forward propagation multilayer neural network.- A VLSI current mode synapse chip.- Optimal mapping of neural networks onto FPGAs.- A CPWM synapsis for Weighted Radial Basis Functions.- Test pattern generation for analog circuits using neural networks and evolutive algorithms.- About some perception problems in neural networks.- Optimization neural networks for image segmentation.- Segmentation of range images: A neural network approach.- A neural architecture for preattentive segmentation of sewage pipes video images.- A CNN model for grey scale image processing.- Kohonen's self-organizing maps for contour segmentation of gray level and color images.- A geometrical based procedure for source separation mapped to a neural network.- Quasi-optimum combination of multilayer perceptrons for adaptive multiclass pattern recognition.- A text recognition system based on a Neural Network and on a Deformed System.- Simultaneous recognition of multiple objects using the MEM model.- On-line handwritten character recognition by a hybrid method based on neural networks and pattern matching.- Analysis and application of the store neural model in recognizing handwritted symbols.- An adaptative orthogonal asociative memory and its application to character recognition.- Texture classification on real time using semi-cover vector and an orthogonal neural network.- An architecture for texture segmentation: from energy features to region detection.- A lattice-based Time-Delay Neural Network for speech processing.- Acquisition of internal representation by learning of identity-mapping using overload learning.- A multiacuity connectionist model for local speed estimation.- Using Artificial Neural Networks for ultrasonic signals processing from simple geometric shapes.- A hierarchical neural network for mobile visual tracking with a robot head.- Short-term load forecasting using neural nets.- Image compression using feedforward neural networks - Hierarchical approach.- Neural approaches to robot control: Four representative applications.- On line identification of causal relationships between variables in the feed water system of a nuclear power plant.- Dynamic neural units for nonlinear dynamic systems identification.- Optimal identification using feed-forward neural networks.- Recurrent neural networks for identification of friction.- Solving an end-effector positioning problem by Hopfield neural network.- Visuomotor control using an artificial neural network.- Learning the visuomotor coordination of a mobile robot by using the invertible Kohonen Map.- Neural networks for automatic fuzzy control system design.- Supervised classification with variable kernel estimators.- Daily electrical power curves: Classification and forecasting using a Kohonen map.- CMAC real-time adaptive control implementation on a D.S.P. based card.- Neural networks in digital data transmission.- A new neural network approach to the floorplanning of hierarchical VLSI designs.- A neural network approach to Quality Control Charts.- Bankruptcy prediction with Artificial Neural Networks.