Large efforts are currently being made to develop and improve online analysis of brain
activity which can be used, eg, for brain–computer interfacing (BCI). A BCI allows a subject to …

Here, we present a novel approach to solve the problem of reconstructing perceived stimuli
from brain responses by combining probabilistic inference with deep learning. Our approach …

This paper introduces Wasserstein variational inference, a new form of approximate Bayesian
inference based on optimal transport theory. Wasserstein variational inference uses a new …

Traditional backpropagation of error, though a highly successful algorithm for learning in
artificial neural network models, includes features which are biologically implausible for …

An increasing number of novel therapeutic agents are targeted at cannabinoid receptors.
Drug development programmes of new cannabinoid drugs may be facilitated by the …

The central nervous system (CNS) effects of acute alcohol administration have been frequently
assessed. Such studies often use a wide range of methods to study each of these effects. …

… van Gerven … van Gerven … Marloes Janssen, Max Hinne, Ronald Janssen, Marcel van
Gerven, Stefan Steens, Bozena Góraj, Peter Koopmans & Roy Kessels declare that they have no …

Maladaptive dopaminergic mediation of reward processing in humans is thought to underlie
multiple neuropsychiatric disorders, including addiction, Parkinson's disease, and …

Rationale: (±) 3,4-Methylenedioxymethamphetamine (MDMA or "ecstasy") has been shown
to cause long term damage to serotonergic cerebral neurons in animals. The neurotoxic …

A major challenge in central nervous system (CNS) drug research is to develop a generally
applicable methodology for repeated measurements of drug effects on the entire CNS, …