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Related publications (29)
Identifying uncertainty states during wayfinding in indoor environments: An EEG classification Study
The researchers used a machine-learning classification approach to better understand neurological features associated with periods of wayfinding uncertainty. The participants (n = 30) were asked to complete wayfinding tasks of varying difficulty in a virtu ...
ELSEVIER SCI LTD2022Using Animal Motion Capture to Learn Neural Representations
Understanding behavior from neural activity is a fundamental goal in neuroscience. It has practical applications in building robust brain-machine interfaces, human-computer interaction, and assisting patients with neurological disabilities. Despite the eve ...
EPFL2022De la décoration par les ombresTraduction de méthodes picturales dans l'architecture française des XVIIIème et XIXème siècles
In the Vitruvian tradition, ornaments are classified into two categories: those that belong to the orders, and the others. If the former's relief is merely indicated by Vitruvio and Alberti, the latter is simply ignored, thus opening the way to licentia. ...
EPFL2021Sign-Changing Solutions for a Class of Zero Mass Nonlocal Schrodinger Equations
We consider the following class of fractional Schrodinger equations: (-Delta)(alpha)u + V(x)u = K(x)f(u) in R-N, where alpha is an element of (0, 1), N > 2 alpha, (-Delta)(alpha) is the fractional Laplacian, V and K are positive continuous functions which ...
2019