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  • 1
    Electronic Resource
    Electronic Resource
    Behavioural improvements with thalamic stimulation after severe traumatic brain injury (2007)
    [s.l.] : Nature Publishing Group
    Nature 448 (2007), S. 600-603 
    Details
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] Widespread loss of cerebral connectivity is assumed to underlie the failure of brain mechanisms that support communication and goal-directed behaviour following severe traumatic brain injury. Disorders of consciousness that persist for longer than 12 months after severe traumatic brain injury ...
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1038/nature06041
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  • 2
    Electronic Resource
    Electronic Resource
    Visual discrimination of textures with identical third-order statistics (1978)
    Springer
    Biological cybernetics 31 (1978), S. 137-140 
    Details
    ISSN: 1432-0770
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Computer Science , Physics
    Notes: Abstract We found a new class of two-dimensional random textures with identical third-order statistics that can be effortlessly discriminated. Discrimination is based on local “granularity” differences between these iso-trigon texture pairs. This is the more surprising since it is commonly assumed that texture granularity (grain) is determined by the power spectrum which, in turn, can be obtained from the second-order statistics. Because textures with identical third-order statistics must have identical second-order statistics (i.e., identical power spectra), visible texture granularity is not controlled by power spectra, and not even by third-order statistics.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00336998
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    Paper (German National Licenses)
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  • 3
    Electronic Resource
    Electronic Resource
    Maximum-entropy approximations of stochastic nonlinear transductions: An extension of the wiener theory (1986)
    Springer
    Biological cybernetics 54 (1986), S. 289-300 
    Details
    ISSN: 1432-0770
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Computer Science , Physics
    Notes: Abstract We consider the description of a nonlinear stochastic transduction in terms of its input/output distribution. We construct a sequence of approximating maximum-entropy estimates from a finite set of input/output observations. This procedure extends the Wiener theory to the analysis of nonlinear stochastic transducers and to the analysis of transducers with multiple outputs but an inaccessible input.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00318425
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  • 4
    Electronic Resource
    Electronic Resource
    The fractal dimension of a test signal: Implications for system identification procedures (1987)
    Springer
    Biological cybernetics 57 (1987), S. 421-426 
    Details
    ISSN: 1432-0770
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Computer Science , Physics
    Notes: Abstract The experimental identification of a nonlinear biologic transducer is often approached via consideration of its response to a stochastic test ensemble, such as Gaussian white noise (Marmarelis and Marmarelis 1978). In this approach, the input-output relationship a deterministic transducer is described by an orthogonal series of functionals. Laboratory implementation of such procedures requires the use of a particular test signal drawn from the idealized stochastic ensemble; the statistics of the particular test signal necessarily deviate from the statistics of the ensemble. The notion of a fractal dimension (specifically the capacity dimension) is a means to characterize a complex time series. It characterizes one aspect of the difference between a specific example of a test signal and the test ensemble from which it is drawn: the fractal dimension of ideal Gaussian white noise is infinite, while the fractal dimension of a particular test signal is finite. This paper shows that the fractal dimension of a test signal is a key descriptor of its departure from ideality: the fractal dimension of the test signal bounds the number of terms that can reliably be identified in the orthogonal functional series of an unknown transducer.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00354987
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    Paper (German National Licenses)
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