Titlebook: Brain Informatics and Health; International Confer Giorgio A. Ascoli,Michael Hawrylycz,Yong Shi Conference proceedings 2016 Springer Intern

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Brain Informatics and Health978-3-319-47103-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Summary and Critical Commentary,becoming a norm and will be more so in the future. In this paper, we present an automatic learning-based method for effective detection and counting of neurons with stained nuclei. A shape map that reflects the boosted edge and shape information is generated and a learning problem is formulated to d

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Alcuni contributi dalla ricerca didattica,g high-resolution electroencephalography (EEG) recordings. Acute stress induction (and control procedures) were used to elicit distinct states of neurophysiological arousal. We recorded EEG signals (128 channels) from 50 participants under two different states: hand immersion in room temperature wat

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Maria G. Bartolini Bussi,Michela Maschiettoobust result, especially when a 3D microscopic image has low single-to-noise ratio. In this paper we propose a neuron reconstruction algorithm called fast marching spanning tree (FMST), which is based on minimum spanning tree method (MST) and can improve the performance of MST. The contributions of

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Maria G. Bartolini Bussi,Michela Maschiettoequence of high interconnectedness among the individual elements, such as neurons in brains. As a very crude approximation, brain can be viewed as an . that is implemented as a large network of heavily interconnected neurons. . are a popular model of associative memory. From a dynamical systems pers

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https://doi.org/10.1007/88-470-0403-9 was analyzed. We found that the classification performance improved hierarchically from lower-level regions to higher-level regions in both pathways, which partly verified the visual pathway theory proposed in cognitive neuroscience. Moreover, the LO (Lateral Occipital), V3a and V3b fMRI data were