Cooperative computing and neural networks -- Neural Net's theory - The specifications of a computational model of memory and information processing in decision-making -- Chaotic neural networks and associative memory -- Nonequilibrium model of neural networks -- A modified algorithm for self-organizing maps based on the Schrödinger equation -- Neural network modelling by means of networks of finite automata -- Adaptive optimization of neural algorithms -- Neural networks with hysteresis type of nonlinearity exhibit global optimization property -- Stability measurement criterion for neural networks of competitive learning -- On the power of networks of majority functions -- Using quadratic perceptrons to reduce interconnection density in multilayer neural networks -- Always trying to write an equation for the brain -- Transformation of control signals for saccadic eye movements -- On the semantics of morphogenesys in photoreceptors -- Implementing a "psychophysical" pattern classifier in a decrementing network -- Contributions of Neural Net's Theory to the understanding of Psychopathological productions in Schizophrenia -- Backpropagation growing networks: Towards local minima elimination -- Methods for encoding in multilayer feed-forward neural networks -- Learning algorithm for feed-forward neural networks with discrete synapses -- Synthesis of adaptive memories with neural networks -- Minimally disturbing learning -- Fuzzy-neunet: A non standard neural network -- Decrementing hamming and Bayesian neural networks: Analog implementations and relative performance -- Dynamic thresholds and attractor neural networks -- Use of genetic algorithms in neural networks definition -- Simulated evolution of modular networks -- Computational experiments with Boltzmann Machines -- An adaptive resonance theory architecture for the automatic recognition of on-line handwritten symbols of a mathematical editor -- An experimental design advisor and neural network analysis package -- Extending an object oriented concurrent logic language for neural network simulations -- Application and implementation of neural networks in microelectronics -- Cmos implementation of a cellular neural network with dynamically alterable cloning templates -- Systolic implementation of hopfield networks of arbitrary size -- Vlsi fully connected neural networks for the implementation of other topologies -- Backpropagation multilayer perceptron: A modular implementation -- Toroidal neural network processor: Multiple learning algorithm support -- Cmos implementation of synapse matrices with programmable analog weights -- Analog VLSI synapse matrix with enhanced stochastic computations -- Cmos continuous BAM with on chip learning -- An integrated circuit for artificial neural networks -- An application of neural networks to natural scene segmentation -- An approach to isolated word recognition using multilayer perceptrons -- The use of multilayer perceptrons in isolated word recognition -- Continuous speech recognition with the connectionist viterbi training procedure: A summary of recent work -- Recurrent neural networks for speech recognition -- A speech recognition system that integrates neural nets and HMM -- Comparison of neural networks and conventional techniques for automatic recognition of a multilingual speech database -- Optimization problems on concurrent testing solved by neural networks -- Application of high-order hopfield neural networks to the solution of diophantine equations -- Self-organizing feature maps and their application to digital coding of information -- Neural networks as error correcting systems in digital communications -- Application of vector quantization algorithms to protein classification and secondary structure computation -- Application of the LVQ neural method to a stellar catalogue -- Neural network design for mobile robot control following a contour -- A supervisory technique to apply neural networks in control -- Autonomous controller tuning by using a neural network -- Neural networks for water demand time series forecasting -- Using artificial neural networks to aid decision making processes -- Data analysis: How to compare Kohonen neural networks to other techniques?.