Sparse regression is the problem of selecting a parsimonious subset of all available regressors for an efficient prediction of a target variable. We consider a general setting in w...
Abstract. The firing activities of place cells in the rat hippocampus exhibit strong correlations to the animal’s location. External (e.g. visual) as well as internal (proprioce...
A common assumption in supervised learning is that the training and test input points follow the same probability distribution. However, this assumption is not fulfilled, e.g., in...
For this special session of EU projects in the area of NeuroIT, we will review the progress of the MirrorBot project with special emphasis on its relation to reinforcement learning...
Cornelius Weber, David Muse, Mark Elshaw, Stefan W...
Abstract. We have built a realistic computational model of the cerebellum. This model simulates the cerebellar cortex of the size 0.5mm×1mm consisting of several types of neurons,...