Neurocomputers and Attention: Connectionism and Neurocomputers Vol II

Part 1 Connectionism: neuronlike networks, attention artificial intelligence, N.M. Amosov et al; variation principle and the algorithm of dual functioning - examples of applications, S.I.Bartsev and V.A.Okhonin; self-learning networks playing "two coins", S.I.Bartsev and V.A.Okhonon; photon echo effect in optical implementation of neural network models, M.N.Belov and E.A.Manykin; discrete Hopfield model - equilibria analysis, P.Bozovsky; dynamic behaviour of neural networks driven by coloured noise, V.A.Chinarov et al; the neural network model for speech analysis, V.J.Chuchupal; neural net method for solving ECG inverse problem, Lucius Chudy et al; Cartesian networks - a method for multi-dimensional sensory space mapping into activity pattern at several one-dimensional neural chains, W.L.Dunin-Barkowski and E.I.Kovalenko; spectral analytic approach to adaline learning for neural networks, H.Englisch and L.A.Pastur; self reproducible neural network with synchronously changing neuronal threshold, A.A.Ezhov et al; parallel quantum mechanical calculations, S.A.Gerzon; synergetic computers for pattern recognition and their control by attention parameters, H.Haken; neural networks with ternary neurons, Michael Hermann; associative neural networks with threshold-controlled attention, Olga Kufudaki and Jiri Horejs; multilevel assemby neural architecture and processing of sequences, E.M.Kussul and D.D.Rachovskiy; segmentation and pattern recognition of a composite image produced by a system of elements with neural-network architecture, S.O.Kuznetsov et al; the hierarchical algorithms for travelling salesman problem on clustered maps, E.B.Levchenko et al; the exploration of the back-propagation neural network in the field of physiological signal processing, E.Pelikan and H.Beran; self-organization of nonlinear networks and applications to information processing, T.Poeschel et al; neural network ensembles as models of interdependence in collective behaviour, Yu. M.Sandler et al; networks and two hemispheres, D.T.Shapiro and V.S.Rotenberg; sensory information processing in a neural system for movement control, Yu. P.Shimansky; learning of the fully connected neural network, E.I.Shulman; a credit apportionment algorithm for evolutionary learning with neural networks, Robert Smaltz and Michael Conrad; vector qualitization of sensory space on a neural net without inner layer interconnections, V.S.Smolin; entropy and neural nets, Derek S.Stubbs; conditions for active states in neural networks, P.de Wilde. Part 2 Neurocomputers: optimal control system based on a neural network, M.A.Feldman and Yu. P.Shimansky; functional cybernetics of attention, P.C.Kainen; the concept of digital neurocomputers with programmable architecture, A.V.Kalyaev et al; the attention mechanism usage to form framework-structures on a semantic net, A.A.Kharlamov; forecast mechanism as a basis for initiative of the neurocomputer, Yu. Z.Saakyan and L.E.Tsitolovsky; brain as neurocomputer -