Titlebook: Studies in Neural Data Science; StartUp Research 201 Antonio Canale,Daniele Durante,Bruno Scarpa Conference proceedings 2018 Springer Natur

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Curve Clustering for Brain Functional Activity and Synchronization,dern neuroscience investigation. Moreover, the recent advances in fMRI analysis are widely used to define the default state of brain activity, functional connectivity and basal activity. Signal processing schemes have been suggested to analyze the resting state Blood-Oxygenation-Level-Dependent (BOL

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Challenges in the Analysis of Neuroscience Data,he previous chapters of the book have provided a compelling argument for demonstrating the advantages of thoughtful, non-naive, statistical approaches for analyzing brain imaging data. Here, we provide a review of the main themes highlighted in those chapters, and we further discuss some of the chal

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Conference proceedings 2018t early-career researchers collaborated with seven senior international professors in order to develop novel statistical methods for complex brain imaging data. During this meeting, which was held on June 25–27, 2017 in Siena (Italy), the research groups focused on recent multimodality imaging datas

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2194-1009 xperts on Statistics for Neuroscience, discussing new and reThis volume presents a collection of peer-reviewed contributions arising from StartUp Research: a stimulating research experience in which twenty-eight early-career researchers collaborated with seven senior international professors in orde

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Curve Clustering for Brain Functional Activity and Synchronization,ss this question, we apply functional curve clustering methods. We carry out an exploratory study using classical functional clustering of fMRI time series. The analysis confirms the hypothesis of a possible spatial influence on the results and therefore suggests the development of spatial curve clustering methods for brain data.

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