49 citations · 94 across the 8 of their papers we have counts for
8 papers
Experimentally testable whole brain manifolds that recapitulate behavior
Gerald M Pao, Cameron Smith, Joseph Park +8
We propose an algorithm grounded in dynamical systems theory that generalizes manifold learning from a global state representation, to a network of local interacting manifolds term…
Underwater dual-magnification imaging for automated lake plankton monitoring
E. Merz, T. Kozakiewicz, M. Reyes +10
We present an approach for automated in-situ monitoring of phytoplankton and zooplankton communities based on a dual magnification dark-field imaging microscope/camera. We describe…
Second-order Phase Transition in Phytoplankton Trait Dynamics
Jenny Held, Tom Lorimer, Francesco Pomati +2
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. However, lin…
Natural data structure extracted from neighborhood-similarity graphs
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. For the same purp…
Robust transformations of firing patterns for neural networks
Karlis Kanders, Tom Lorimer, Yoko Uwate +2
As a promising computational paradigm, occurrence of critical states in artificial and biological neural networks has attracted wide-spread attention. An often-made explicit or imp…
Hopf-type neurons increase input-sensitivity by forming forcing-coupled ensembles
Florian Gomez, Tom Lorimer, Ruedi Stoop
Astounding properties of biological sensors can often be mapped onto a dynamical system in the vicinity a bifurcation. For mammalian hearing, a Hopf bifurcation description has bee…
Two universal physical principles shape the power-law statistics of real-world networks
Tom Lorimer, Florian Gomez, Ruedi Stoop
The study of complex networks has pursued an understanding of macroscopic behavior by focusing on power-laws in microscopic observables. Here, we uncover two universal fundamental…
Mammalian cochlea as a physics guided evolution-optimized hearing sensor
Tom Lorimer, Florian Gomez, Ruedi Stoop
Nonlinear physics plays an essential role in hearing, from sound signal generation to sound sensing to the processing of complex sound environments. We demonstrate that the evoluti…