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  • 1
    Electronic Resource
    Electronic Resource
    Information transmission in multi-input-output stochastic neuron models (1979)
    Springer
    Biological cybernetics 34 (1979), S. 119-124 
    Details
    ISSN: 1432-0770
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Computer Science , Physics
    Notes: Abstract The Shannon's information theory in multiway channels (Shannon, 1961) is applied to multi-input-output relations of the stochastic automaton models for interaction of excitatory and inhibitory impulse sequences proposed in the previous papers (Tsukada et al., 1977). In these models, the output spike train depends upon several statistical characteristics (mean frequency, standard deviation, form, order-dependence or order-independence, etc.) of the excitatory and inhibitory input spike trains. By the use of the multiple-access channel in information theory, some stochastic properties of temporal pattern discrimination in neurons are analyzed and discussed with biological systems.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00365476
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  • 2
    Electronic Resource
    Electronic Resource
    Temporal pattern discrimination of impulse sequences in the computer-simulated nerve cells (1975)
    Springer
    Biological cybernetics 17 (1975), S. 19-28 
    Details
    ISSN: 1432-0770
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Computer Science , Physics
    Notes: Abstract This paper deals with some properties of temporal pattern discrimination performed by single digital-computer simulated synaptic cells. To clarify these properties, the Shannon's entropy method which is a basic notion in the information theory and a fundamental approach for the design of pattern classification system was applied to input-output relations of the digital computer simulated synaptic cells. We used the average mutual information per symbol as a measure for the temporal pattern sensitivity of the nerve cells, and the average response entropy per symbol as a measure for the frequency transfer characteristics. To use these measures, the probability of a post-synaptic spike as a function of the recent history of pre-synaptic intervals was examined in detail. As the results of such application, it was found that the EPSP size is closely related to the pattern of impulse sequences of the input, and the average mutual information per symbol for EPSP size is given by a bimodal curve with two maximum values. One is a small EPSP size and the other is a large EPSP size. In two maximum points, the structure of the temporal pattern discrimination reverses each other. In addition, the relation between the mean frequency, or the form of impulse sequences of the input, and the average mutual information per symbol has been examined. The EPSP size at one maximum point of average mutual information is in inverse proportion to the magnitude of input mean frequency which relates to the convergence number of input terminal, while that at the other maximum point is proportional to that of the mean frequency. Moreover, the temporal pattern discrimination is affected remarkably by whether successive interspike intervals of the input are independent or not in the statistical sense. Computer experiments were performed by the semi-Markov processes with three typical types of transition matrixes and these shuffling processes. The average mutual informations in the cases of these semi-Markov processes are in contrast to those of the shuffling processes which provide a control case. The temporal structure of successive interspike intervals of the input is thus a significant factor in pattern discrimination at synaptic level.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00326706
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    Paper (German National Licenses)
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  • 3
    Electronic Resource
    Electronic Resource
    Effect of correlated adjacent interspike interval sequences of the input on the output response in the computer-simulated neuromuscular system (1978)
    Springer
    Biological cybernetics 29 (1978), S. 69-73 
    Details
    ISSN: 1432-0770
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Computer Science , Physics
    Notes: Abstract A digital-computer simulated model, which consisted of the neuromuscular synapse and the muscle with external loads, was formulated for the neuromuscular system of the claw opener muscle of the crayfish. By using this model, the relationship between stimuli with correlated adjacent interval sequences and responses was investigated. The imposed correlated sequences generated by the three-state semi-Markov process, with the mean rate, interval distribution and variance held constant, were the following three types: Type I, a positive correlated sequence; Type II, a first order negative correlated sequence; Type III, an independent sequence of the above two. As a result of the model study, it was found that the evoked response by a Type I sequence is maximum among them, which agrees very well with the experimental result obtained from the claw opener muscle in the previous paper. In addition, the response by Type II sequence fluctuates least about its moving average or ensemble mean value at a time although the response is of small magnitude, which also coincides with the experimental results and in part with Birk's model study. The fluctuations about ensemble mean value were evaluated by using the average mutual information for various mean values of stimuli.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00364009
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  • 4
    Electronic Resource
    Electronic Resource
    Stochastic automaton models for the temporal pattern discrimination of nerve impulse sequences (1976)
    Springer
    Biological cybernetics 21 (1976), S. 121-130 
    Details
    ISSN: 1432-0770
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Computer Science , Physics
    Notes: Abstract The application of stochastic automata to the input-output relations of single neurons is considered. For this, some stochastic properties of temporal pattern discrimination in single synaptic cells are used to suggest stochastic automaton models. The models have only three possible states, the active, the absolute refractory and the relative refractory states, which are sufficient for temporal pattern sensitivity. From such an application, it was found that the temporal pattern discriminating structures in the models are similar to those used for experimental data and computer simulation (real-time neuron models). Extensions related to temporal pattern learning are discussed.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00337419
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  • 5
    Electronic Resource
    Electronic Resource
    Temporal pattern sensitive and nonsensitive responses in the cat's retinal ganglion cells (1982)
    Springer
    Biological cybernetics 44 (1982), S. 197-203 
    Details
    ISSN: 1432-0770
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Computer Science , Physics
    Notes: Abstract In order to characterize temporal pattern sensitivity in the cat ganglion cells, a new analysis technique by semi-Markov models which was developed in the previous papers (Tsukada et al., 1975–1977) was applied to input-output relations of the receptive-field. Three types of statistical spot stimuli positioned in the center region of receptive fields were used. Each type of stimulus has an identical histogram in the inter-stimulus intervals and therefore the same mean and variance, but different correlations between adjacent inter-stimulus intervals (Type 1, positive; Type 2, negative; and Type 3, independent processes). From the output spike trains of cat retinal ganglion cells to each stimulus, mean, variance, and histogram were computed. As the result of investigating these data, we could draw the following conclusion from the resultant output interval histograms. The receptive-field-center responses of cat ganglion cells can be classified into two groups (Types L and N) according to the difference of responsiveness to the three types of statistical spot stimuli. A Type L response has the same histogram in interspike intervals for all three stimuli, and is not sensitive to the temporal pattern, while a Type N response has three different forms depending on each type of stimulus showing high sensitivity to the temporal pattern. These results were also simulated by the Markov chain model and discussed with relation to neural coding and classification of ganglion cell types.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00344275
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  • 6
    Electronic Resource
    Electronic Resource
    Microscopic behavior of the pair potential of the superconductor-inversion layer-superconductor junction
    Amsterdam : Elsevier
    Physica C: Superconductivity and its applications 185-189 (1991), S. 2545-2546 
    Details
    ISSN: 0921-4534
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Physics
    Type of Medium: Electronic Resource
    URL: http://linkinghub.elsevier.com/retrieve/pii/0921-4534(91)91396-L
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  • 7
    Electronic Resource
    Electronic Resource
    The electronic structure calculations of the graphite intercalation compounds based on the SCF-DV-Xα cluster model
    Amsterdam : Elsevier
    Physica B+C 105 (1981), S. 179-184 
    Details
    ISSN: 0378-4363
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Physics
    Type of Medium: Electronic Resource
    URL: http://linkinghub.elsevier.com/retrieve/pii/0378-4363(81)90241-2
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  • 8
    Electronic Resource
    Electronic Resource
    Phase-dependent energy spectrum of the quasiparticle and Josephson effect in the superconducting superlattice
    Amsterdam : Elsevier
    Physica C: Superconductivity and its applications 185-189 (1991), S. 2037-2038 
    Details
    ISSN: 0921-4534
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Physics
    Type of Medium: Electronic Resource
    URL: http://linkinghub.elsevier.com/retrieve/pii/0921-4534(91)91143-R
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  • 9
    Electronic Resource
    Electronic Resource
    Electronic structure and phase stability of ZrO"2
    Amsterdam : Elsevier
    Journal of Physics and Chemistry of Solids 44 (1983), S. 301-306 
    Details
    ISSN: 0022-3697
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Chemistry and Pharmacology , Physics
    Type of Medium: Electronic Resource
    URL: http://linkinghub.elsevier.com/retrieve/pii/0022-3697(83)90098-7
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  • 10
    Electronic Resource
    Electronic Resource
    A mechanism for Coulomb blockade in scanning tunneling spectroscopy
    Amsterdam : Elsevier
    Physics Letters A 148 (1990), S. 367-371 
    Details
    ISSN: 0375-9601
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Physics
    Type of Medium: Electronic Resource
    URL: http://linkinghub.elsevier.com/retrieve/pii/0375-9601(90)90820-E
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