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Titlebook: Brain Informatics; International Confer Yi Zeng,Yong He,Qingming Luo Conference proceedings 2017 Springer International Publishing AG 2017

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Normale Anatomie des Rektums in der MRT self-monitoring. The aim of this work is to develop a neurologically inspired computational cognitive model of desire regulation and these underlying self-monitoring and decision making processes. In this model four desire regulation strategies have been incorporated. Simulation experiments have be
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https://doi.org/10.1007/978-3-662-58159-9culty of the problem can exponentially increase when the music segments delivery multiple and complex emotions. This paper proposes a novel quantum convolutional neural network (QCNN) to learn music emotions. Inheriting the distinguished abstraction ability from deep learning, QCNN automatically ext
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MRT-basierte Chirurgie des Rektumkarzinomsever, the EEG electrodes measure electrical potentials on the scalp instead of directly measuring activities of brain sources. To infer the activated cortex sources given the EEG data, many approaches were proposed with different neurophysiological assumptions. Traditionally, the EEG inverse problem
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Nathan A. Bushyager,Manos M. Tentzerisy is hardly ideal mainly due to the following reasons: (i) the features extracted from EEG signals may not solely reflect one’s emotional patterns and their quality is easily affected by noise; and (ii) increasing feature dimension may enhance the recognition accuracy, but it often requires extra co
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Weitere elegante Befehlsdefinitionenvate common regions more strongly. It interested us to probe why heavier manipulation of cortical regions did not guarantee a high language proficiency. Since the responses of individual brain regions were inadequate to explain how the brain enabled behavior, we sought to explore this question at th
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Erstellen und Editieren von Textdateienor semantic attributes of visual appearance, and the representation of an object is distributed across a broader expanse of cortex rather than a specific region. These findings suggest the feature-map model of object representation. The present object categorization study provided another evidence f
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