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[Proceedings] 1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers

- 1992

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Displaying Results 1 - 25 of 150
  • Statistical research and multilayered neural networks

    Publication Year: 1992, Page(s):1172 - 1178 vol.2
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (309 KB)

    Discusses two possible trends in research into three-layered neural networks synthesized from the paradigm of variable-structure neural networks and used for pattern recognition. These trends are: (i) minimizing the dimension of the space of attributes, and (ii) evaluating the permissible spread in weighting coefficients in order to determine the class of accuracy of electrical parameters of the c... View full abstract»

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  • Structure optimization of multilayer neural networks with cross connections

    Publication Year: 1992, Page(s):509 - 520 vol.1
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (400 KB)

    Problems of choosing the structure (the number of layers and the number of neurons in a layer) for multilayer neural networks with cross connections and consisting of neurons with two lattices are considered for the solution of pattern recognition problems. Consideration is given to multilayer neural networks with complete cross connections where the attribute set of each layer consists of initial... View full abstract»

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  • RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers (Cat. NO.92TH0483-8)

    Publication Year: 1992
    Request permission for commercial reuse | PDF file iconPDF (35 KB)
    Freely Available from IEEE
  • A multilayer neural adaptive network as a model of nonlinear plants

    Publication Year: 1992
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (45 KB)

    Summary form only given. A multilayer neural adaptive network is chosen as a model for complex nonlinear plants. The basic element of the neural network (NN) is the sigmoid perceptron. The tuning of NN weights is based on measurements of the vector input and output of a nonlinear plant, the output of which is affected by an additive random noise. Optimal convergence rate algorithms for tuning the ... View full abstract»

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  • On a possible creative neurocomputer system

    Publication Year: 1992
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (54 KB)

    Summary form only given. It is suggested that one way to develop neural net computer systems may be through the use of the computer as a generator but not as a transformer of information. The core of these hypothetical computer systems must consist of two functional modules: a knowledge generator, based on the physical dissipative process, and a transformer of information into a structural form si... View full abstract»

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  • Influence of stimuli on the comportment of an artificial neural population

    Publication Year: 1992, Page(s):846 - 854 vol.2
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (416 KB)

    The dynamic behavior (comportment) of an artificial neural network depends not only on the synaptic weights, but also on the stimuli input. Without stimuli, the network stable state is permanent or oscillatory. The external stimuli input modifies the neural state, changing it from one stable permanent state to another or from an oscillatory to a permanent state, or changing the frequency of oscill... View full abstract»

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  • Neural network for global optimization

    Publication Year: 1992, Page(s):53 - 63 vol.1
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (412 KB)

    A tunneling neural network that can be used in conjunction with a Hopfield network to solve a global minimization problem is proposed. When the two are used together, the global minimum of the corresponding Hopfield energy can be attained. Simulation was performed for the traveling salesman problem with four to ten cities, and a solution very near to the global minimum was reached for all the case... View full abstract»

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  • Spatial reconstruction of the frog cerebellar network on the basis of electron microscopy of ultra-thin slices

    Publication Year: 1992, Page(s):64 - 70 vol.1
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (240 KB)

    The authors have been working on the problem of spatial reconstruction of interneuronal contacts and, in particular, the synaptic contacts formed by climbing fibers on dendritic spines of Purkinje cells. Rana temporaria cerebellar cortex served as the experimental material. Preparations were studied using an electron microscope and photographed at ×8000 and ×15000 magnification factors... View full abstract»

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  • Transmission of synaptic signals along bistable dendrites

    Publication Year: 1992, Page(s):399 - 410 vol.1
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (428 KB)

    The amplitude and duration of an EPSP in the bistable dendrite has a strong nonlinear dependence on the subsynaptic conductance; at certain conductance values the EPSP switches on the stable depolarization of the dendrite. The stable depolarization remains after the excitatory currents decay. The long-lasting N-methyl-D-aspartatic synaptic currents with negative subsynaptic resistance are more eff... View full abstract»

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  • Information processing by neuron as processor of neurocomputer system

    Publication Year: 1992, Page(s):71 - 81 vol.1
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (444 KB)

    An attempt is being made to create an experimental model of the information process of nerve cells which will make it possible to investigate the mechanisms of the electron modification of the separate inputs, molecular organization, and dynamics of this process. The possibility is investigated of using the electron plasticity of the separate regions of the cells to experimentally verify a hypothe... View full abstract»

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  • Distinguishing line-detection from texture segregation using a modular network-based model

    Publication Year: 1992, Page(s):411 - 413 vol.1
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (220 KB)

    In order to enable task-dependent processing of lines, edges, and textures, the authors introduce a network-based model for the front-end visual system. The purpose of this model is to provide different representations of a retinal image in such a way that different actions and decisions about the presence of objects in the visual scene can be undertaken at a further stage. In particular, as a sta... View full abstract»

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  • Segmentron: a neuronal network simulating the structure and the function of the visual cortex

    Publication Year: 1992, Page(s):414 - 422 vol.1
    Cited by:  Papers (1)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (328 KB)

    The authors present a neuronal network of the visual cortex referred to as the Segmentron. It is based primarily on neuromorphological and neurophysiological data obtained in animal experiments. The response profiles of the neuron-like elements in the model are shown to be very similar to the profiles of the real neurons in the visual cortex. Moreover, by the running of the model, properties of th... View full abstract»

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  • An analog continuous-time programmable neural network

    Publication Year: 1992, Page(s):282 - 288 vol.1
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (380 KB)

    The authors introduce economical, simple, and versatile MOS cells that achieve vector scalar product and are applicable in the MOS implementation of feedback/feedforward neural networks. The vector scalar product of 2 n-tuple vector inputs is achieved by using 2(n+1) MOS transistors, thus offering an economical alternative to VLSI analog neural networks. The analog neural network is realized by in... View full abstract»

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  • Experimental and theoretical investigation of computational properties of red nucleus neuron

    Publication Year: 1992, Page(s):82 - 93 vol.1
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (440 KB)

    Microelectrode analysis of red nucleus (RN) neurons was used to study the regulatory influences on an axiosomatic input from a cerebellar nucleus interpositus and on an axodendritic input from a sensorimotor area of a cortex. To bring together these experimental data and previous theoretical results on detector properties of RN neurons, an improved model neuron with double-barrier synaptic element... View full abstract»

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  • Randomized learning in Y 𝔏-neural nets

    Publication Year: 1992, Page(s):457 - 466 vol.1
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (324 KB)

    The author proposes the perceptive artificial neural net, which consists of two different types of formal neurons with greatest simplicity. It is found that the net of the two simplest units (Y- and λ-neurons) is capable of representing some classes of net topologies and can resolve the general categorization problem. It is also shown how to implement well-known statistical physics methods ... View full abstract»

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  • Structure of neural assembly

    Publication Year: 1992, Page(s):423 - 434 vol.1
    Cited by:  Papers (1)  |  Patents (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (484 KB)

    The process of neural assembly formation in neural networks with a low level of activity is investigated. The experiments conducted show the possibility of forming neural assemblies with nucleus and fringe and of restoring both the nucleus and the nucleus with fringe. This proves that the neural network has additional functions: to form prototypes and to restore the assembly nucleus and assembly f... View full abstract»

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  • Structural base of integration in the white rat neuronal complexes of SI barrel cortex

    Publication Year: 1992, Page(s):638 - 640 vol.2
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (132 KB)

    The general features of dendritic fields of various neurons have been studied by the method of quantitative analysis described by T.A. Leontovich (1978). Three types of neurons were apparent with Golgi staining; all of them were located in the rat barrel field cortex, processing vibrissal information, and differed from one other by the complexity of their integrative functions. The structural pecu... View full abstract»

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  • Neuron ensemble as a unit of information handling

    Publication Year: 1992, Page(s):1163 - 1165 vol.2
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (128 KB)

    Research has been carried out on the principles of cellular arrangement of the central neural structures by means of simultaneous multimicroelectrode registration on the background and evoked impulse activity of nerve cells at different levels of evolutionary development, and studies of the dynamics of this arrangement have been made in different functional states. This research made it possible t... View full abstract»

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  • Neural network modeling in studying neuron mechanisms of visual perception

    Publication Year: 1992, Page(s):323 - 333 vol.1
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (408 KB)

    An investigation including the development of realistic neural network models, computer experiments, and verification of their predictions in neurophysiological experiments made it possible to obtain a set of principally new facts on spatial and temporal dynamics of VC (visual cortex) neurons OS (orientation selectivity) and to develop a method of parallel-sequential processing of images. Attentio... View full abstract»

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  • An equivalence between sigmoidal gain scaling and training with noisy (jittered) input data

    Publication Year: 1992, Page(s):120 - 127 vol.1
    Cited by:  Papers (4)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (308 KB)

    Training with additive input noise (jitter) in a commonly used heuristic for improving generalization in layered perceptron artificial neural networks. A drawback of training with jitter, in comparison with the unjittered case, is that many more sample presentations are required in order to average over the noise and estimate the expected response. The authors demonstrate that the expected effect ... View full abstract»

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  • Visual shape analysis by wavelets

    Publication Year: 1992, Page(s):289 - 298 vol.1
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (572 KB)

    The complexity analysis shows that the problem of visual recognition is an intractable problem, as is the training of neural networks for this purpose. The authors propose a representation scheme which greatly simplifies recognition. The approach relies on wavelet analysis, a recently developed tool for local space-frequency analysis on a broad class of functions. Based on two assumptions, that vi... View full abstract»

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  • Some applications of second-order connectionist networks to speech recognition problems

    Publication Year: 1992, Page(s):94 - 100 vol.1
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (468 KB)

    Second-order connectionist networks have been identified as good models for representing acoustic phonetic invariance, since they can modulate separating hypersurfaces or transform data representations as a function of context. These capabilities are illustrated for two problems in vowel recognition: speaker normalization and phonetic context dependency. The idea of context dependency can also be ... View full abstract»

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  • Evolutionary computer

    Publication Year: 1992, Page(s):467 - 477 vol.1
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (484 KB)

    The development of the evolutionary computer is based on three sources: the concept of adaptive identification in the specified class of structured models, algorithmic facilities and software of data processing developed for the purpose of classification, recognition, prediction, reconstruction, and design; and a component base developed for realizing the hardware support of evolutionary algorithm... View full abstract»

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  • Information data base on neurocomputers `Neurobank'

    Publication Year: 1992, Page(s):1021 - 1024 vol.2
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (132 KB)

    An information database on neurocomputers called Neurobank, its purposes, and its subdivision are described. The sources of the information in Neurobank are recently published works on neurocomputers from the Soviet and foreign periodical press and from spectral conferences as well as archives from the 1960s and 1970s. The subdivisions of Neurobank are neutral networks, neuromathematics, neurocomp... View full abstract»

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  • Bilateral column complex in the rat primary somatosensory cortex: discrete system of spatial integration

    Publication Year: 1992, Page(s):679 - 683 vol.2
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (192 KB)

    Results have been obtained which suggest that various types of functionality organized barrel columns in the projections of lateral and medial vibrassae exist with respect to different qualities of information processing. The first type deals with information on the degree of the tactile stimuli's lateral application, and the second type deals with bilateral spatial characteristics of the stimulus... View full abstract»

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