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Titlebook: Brain-Inspired Computing; Second International Katrin Amunts,Lucio Grandinetti,Nicolai Petkov Conference proceedings 2016 Springer Internat

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Designing Workflows for the Reproducible Analysis of Electrophysiological Data,ogical research. We detail how existing tools can be integrated to form partial workflows which address some of the challenges. On the basis of a concrete workflow implementation we discuss open questions and urgently needed software components.
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Towards the Ultimate Display for Neuroscientific Data Analysis,we advocate the design of intuitive and powerful user interfaces for a direct interaction with the data, which support the multi-view paradigm in an efficient and flexible way, and – finally – provide interactive response times even for huge amounts of data and when dealing multiple datasets simultaneously.
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0302-9743 ion in this book. They deal with brain structure and function; computational models and brain-inspired computing methods with practical applications; high performance computing; and visualization for brain simulations. .978-3-319-50861-0978-3-319-50862-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Macro Innovation Dynamics and the Golden Agee discussion of the main processing techniques and applications. The paper concludes with a discussion relative to a new approach based on the integration of sentiment analysis and affective computing to obtain a more accurate and reliable detection of emotions and feelings for applications in the life sciences.
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Brain-Inspired Computing978-3-319-50862-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
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