Part 1 Neurobiology: the spatial relationships of the ECG alpha-wave phases and initial formation of Ukhtomsky dominance in the cortex, V.S.Apanasiok; A.A.Ukhtomsky's principle of dominanta (on the problem of creation of neurocomputers), I.A.Arshavsky and A.A.Demenshtein; advances in neuron physiology - are they important for neurocomputer science?, A.Baginskas and A.Gutman; microsystem of cortical neurons as prospective elements of neurocomputers, B.I.Kotlyar et al; perception and memory, the framework of psychophysiological theory, A.N.Lebedev; the wave model of memory, A.N.Lebedev et al; the dominant and its role in animal behaviour, R.A. Pavlygina; filtering of the oriented image elements and feature discrimination in the visual cortex, L.N.Podladchikova et al; a model of thalamic dynamic neuronal microsystems providing voluntary movements in man, S.N.Raeva et al; on the mechanism of attention in hearing, M.V.Tarasova and N.A.Dubrovsky; local mechanisms underlying coordination of movements - a way to neurocomputers, neurobiological aspects, V.D.Tsukerman and L.S.Makarova; septo-hippocampal system - rhythmic oscillations and information selection, O.S.Vinogradova et al. Part 2 Synchronization and chaos: some informational properties of the chaotic dynamics in neural networks, Gianfranco Basti et al; a unified model of the somato-cortical interaction in behaviour, mental phenomena and emotions, R.P.Behrend; interacting neural oscillators can imitate selective attention, R.M.Borisyuk; attention, resonance and transmittter dynamics in models of self-organizing cortical networks for recognition learning, G.A.Carpenter and S.Grossberg; the computational structure of neural systems, A.V.Holden et al; phase locked responses in neural systems, F.C.Hoppensteadt; chaotic dynamics of generating Markov partitions and linguistic sequences mimicking Zipf's law, Anastassis A.Katsica and John S.Nikolis; synchronization via phase locking in oscillatory models of neural networks, Ya.B. Kazanovich et al; metastability and phase transitions in neural networks - statistical approach, A.B.Kirillov and V.I.Makarenko; autonomous scene recognition and learning in a modular array of cortical processors, E.Koerner et al; dynamic inhibitory masking by means of compensation learning in neural networks, Edgar Koerner et al.
