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According to their traditional phonetic definition, voiceless alveolar stops are unaspirated in Hungarian. The voiceless period following their release, however, seems to contain turbulent noise components, similarly to the case of stops identified as aspirated in other languages. The goal of this investigation was to describe the acoustic-phonetic patterns of burst and post-burst voiceless period of Hungarian /t/-realizations. The results show that many of these stops can be considered as slightly aspirated.

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Abstract  

Fission fragment angular momenta in thermal neutron induced fission of241Pu have been deduced for the first time from radiochemically determined independent isomeric yield ratios of the corresponding fission products131, 133Te and132I. The values obtained are 5.8±1.1 , 5.95±1.2 and 8.85±0.65 for131, 133Te and132I, resp. The present data along with the literature data are discussed in the light of influence of fragment nuclear structure, such as the presence of odd proton in the fragment and spherical and/or deformed neutron shell configuration.

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We characterize the finite-dimensional elements of a free cylindric algebra. This solves Problem 2.10 in [Henkin, Monk, Tarski: Cylindric Algebras, North-Holland, 1971 and 1985]. We generalize the characterization to quasi-varieties of Boolean algebras with op- erators in place of cylindric algebras.

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The primary visual cortex (V1) of the mammalian brain is equipped with a specifically connected network of neurons that can potentially solve difficult image processing tasks. These neurons are selectively tuned for locations in visual space and also for line orientation. The coupling of location and orientation tuning results in the neural representation of the visual world in terms of local features. These local features, e.g., oriented line segments, will have to be linked together in order to parse the visual world into regions corresponding to object and ground. Although standard models of V1 do not address the issue of interacting neuronal populations, we suggest that the long-range connectivity pattern of V1 provides an architecture where spreading neural activity may lead to pertinent figure-ground segmentation. The model relies on the fact that in addition to the processing units, their connections are also selectively tuned for space and orientation. From the computational point of view, the model uses a minimalist approach that applies the fundamental concepts of Gestalt psychology – proximity, similarity and continuity – to the spreading of neuronal activation signals. This model is successful in predicting psychophysical performance of human observers, and provides an account of the computational power of V1.

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