Experimentally testable whole brain manifolds that recapitulate behavior

no code implementations • 20 Jun 2021 • Gerald M Pao, Cameron Smith, Joseph Park, Keichi Takahashi, Wassapon Watanakeesuntorn, Hiroaki Natsukawa, Sreekanth H Chalasani, Tom Lorimer, Ryousei Takano, Nuttida Rungratsameetaweemana, George Sugihara

Thus, as a final validation of how well GMN captures essential dynamic information, we show that the artificially generated time series can be used as a training set to predict out-of-sample observed fly locomotion, as well as brain activity in out of sample withheld data not used in model building.

Causal Inference Time Series +1

Second-order Phase Transition in Phytoplankton Trait Dynamics

no code implementations • 1 Apr 2020 • Jenny Held, Tom Lorimer, Francesco Pomati, Ruedi Stoop, Carlo Albert

Key traits of unicellular species, like cell size, often follow scale-free or self-similar distributions, hinting at the possibility of an underlying critical process.

Natural data structure extracted from neighborhood-similarity graphs

no code implementations • 15 Feb 2018 • Tom Lorimer, Karlis Kanders, Ruedi Stoop

'Big' high-dimensional data are commonly analyzed in low-dimensions, after performing a dimensionality-reduction step that inherently distorts the data structure.

Clustering Dimensionality Reduction