Titlebook: The Pathways of Mind; A Neural Theory of M Roland Kalb Book 2001 Springer-Verlag Wien 2001 Action.Master Patient Index.Memory.Mind.Neurolog

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Overview: Presents new theory of mental processing, describing the structure of the pathways by simple mathematical terms.Presents a neural interpretation of these pathways shows applications in neurology, neur978-3-211-83565-4978-3-7091-6255-2

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https://doi.org/10.1007/978-3-7091-6255-2Action; Master Patient Index; Memory; Mind; Neurology; Neuroscience; Radiologieinformationssystem; brain tu

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Olaf Fischer,Torben Mothes, so I set about to write one. capable of satisfying its material needs beyond the subsistence level entirely from domestic My first task was to define my terms-tar­ iffs, non-tariff barriers, shipping terminology, resources. As a nation‘s technology advances and edu­ etc. As this labor progressed o

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A Deep Supervision CNN Network for Brain Tumor Segmentatione large number of magnetic resonance images (MRIs). In order to make full use of small dataset like BraTS 2020, we propose a deep supervision-based 2D residual U-net for efficient and automatic brain tumor segmentation. In our network, residual blocks are used to alleviate the gradient dispersion ca

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Word Similarity Computation with Extreme-Similar Methodn fail to detect subtle differences between two words. This can lead to grossing mis-estimation of the similarity between two words. In this paper, we propose a new method to calculate the similarity between two Chinese words with a particular focus on comparing pairs of words which are very similar

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https://doi.org/10.1007/978-3-658-35929-4schaden in Höhe von 600,- EUR nicht als Unfallauto bezeichnet werden müsse; da er sich aber bei Vertragsschluss jeder Irrtumsanfechtung unterworfen habe, sei er bereit, den Wagen Zug um Zug gegen Rückzahlung des von ihm geschuldeten Geldbetrages zurückzunehmen, auch wenn die Voraussetzungen für eine

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Frequency Analysis of Continuous-Time Signals,a continuous-time periodic signal. The reader will get familiar with notions of amplitude-, phase- and power density spectra of periodic signals and will learn how to calculate the average power of periodic signals using Parseval’s equality. Then we introduce the Fourier transform (FT) of energy sig