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Publications associées (323)
Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models
Alexander Mathis, Alberto Silvio Chiappa, Alessandro Marin Vargas, Axel Bisi
Here we provide the neural data, activation and predictions for the best models and result dataframes of our article "Task-driven neural network models predict neural dynamics of proprioception". It contains the behavioral and neural experimental data (cu ...
EPFL Infoscience2024Pore size estimation in axon-mimicking microfibers with diffusion-relaxation MRI
Jean-Philippe Thiran, Erick Jorge Canales Rodriguez, Marco Pizzolato, Muhamed Barakovic, Tim Bjørn Dyrby
Purpose: This study aims to evaluate two distinct approaches for fiber radius estimation using diffusion-relaxation MRI data acquired in biomimetic microfiber phantoms that mimic hollow axons. The methods considered are the spherical mean power-law approac ...
Hoboken2024Discrete choice modeling in the era of big data
The technological advancements of the past decades have allowed transforming an increasing part of our daily actions and decisions into storable data, leading to a radical change in the scale and scope of available data in relation to virtually any object ...
EPFL2024The hunt for the Karman 'constant' revisited
The log law of the wall, joining the inner, near-wall mean velocity profile (MVP) in wall-bounded turbulent flows to the outer region, has been a permanent fixture of turbulence research for over hundred years, but there is still no general agreement on th ...
CAMBRIDGE UNIV PRESS2023Uniaxial fiber reinforced DEA fabrication
Dielectric Elastomer Actuators (DEA) are devices designed to convert electric energy into mechanical work. However, the current actuator design will expand when actuated while muscles contract. Fiber reinforcement may allow for anisotropic movement, which ...
2023