Zobrazeno 1 - 10 of 45 pro vyhledávání: '"Gutzen, Robin"'
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Assessing the similarity of real matrices with arbitrary shape
Autor: Albers, Jasper, Kurth, Anno C., Gutzen, Robin, Morales-Gregorio, Aitor, Denker, Michael, Grün, Sonja, van Albada, Sacha J., Diesmann, Markus
Assessing the similarity of matrices is valuable for analyzing the extent to which data sets exhibit common features in tasks such as data clustering, dimensionality reduction, pattern recognition, group comparison, and graph analysis. Methods propos
Externí odkaz: http://arxiv.org/abs/2403.17687
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2
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Comparing apples to apples -- Using a modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets
Autor: Gutzen, Robin, De Bonis, Giulia, De Luca, Chiara, Pastorelli, Elena, Capone, Cristiano, Mascaro, Anna Letizia Allegra, Resta, Francesco, Manasanch, Arnau, Pavone, Francesco Saverio, Sanchez-Vives, Maria V., Mattia, Maurizio, Grün, Sonja, Paolucci, Pier Stanislao, Denker, Michael
Neuroscience is moving towards a more integrative discipline, where understanding brain function requires consolidating the accumulated evidence seen across experiments, species, and measurement techniques. A remaining challenge on that path is integ
Externí odkaz: http://arxiv.org/abs/2211.08527
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3
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Evaluating the statistical similarity of neural network activity and connectivity via eigenvector angles
Autor: Gutzen, Robin, Grün, Sonja, Denker, Michael
Neural systems are networks, and strategic comparisons between multiple networks are a prevalent task in many research scenarios. In this study, we construct a statistical test for the comparison of matrices representing pairwise aspects of neural ne
Externí odkaz: http://arxiv.org/abs/2209.04024
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4
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Simulations Approaching Data: Cortical Slow Waves in Inferred Models of the Whole Hemisphere of Mouse
Autor: Capone, Cristiano, De Luca, Chiara, De Bonis, Giulia, Gutzen, Robin, Bernava, Irene, Pastorelli, Elena, Simula, Francesco, Lupo, Cosimo, Tonielli, Leonardo, Mascaro, Anna Letizia Allegra, Resta, Francesco, Pavone, Francesco, Denker, Micheal, Paolucci, Pier Stanislao
Thanks to novel, powerful brain activity recording techniques, we can create data-driven models from thousands of recording channels and large portions of the cortex, which can improve our understanding of brain-states neuromodulation and the related
Externí odkaz: http://arxiv.org/abs/2104.07445
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7
Akademický článek
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10
Towards classification of spatio-temporal wave patterns based on principal component analysis
Autor: Ito, Junji, Gutzen, Robin, Krauße, Sven, Denker, Michael, Grün, Sonja
Publikováno v: 32nd Annual Computational Neuroscience Meeting, CNS2023, Leipzig, Germany, 2023-07-15-2023-07-19
Spatio-temporal oscillatory dynamics are found in a variety of subjects in the natural sciences. [1]They are mathematically described in terms of a complex-valued field variable Z(r, t), from whichone can uniquely derive the oscillation amplitude A(r
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3364::6bd330c5a766a2d4d47a43117b0f04f3
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