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stat.AP2024
Uncertainties in Signal Recovery from Heterogeneous and Convoluted Time Series with Principal Component Analysis
Mariia Legenkaia, Laurent Bourdieu, Rémi Monasson
Principal Component Analysis (PCA) is one of the most used tools for extracting low-dimensional representations of data, in particular for time series. Performances are known to st…
physics.optics2024
Neurophotonics beyond the Surface: Unmasking the Brain's Complexity Exploiting Optical Scattering
Fei Xia, Caio Vaz Rimoli, Walther Akemann +4
The intricate nature of the brain necessitates the application of advanced probing techniques to comprehensively study and understand its working mechanisms. Neurophotonics offers…