Background Uncertainty shapes our perception of the world and the decisions we make.
Two aspects of uncertainty are commonly distinguished: uncertainty in previously acquired …

Methods for resolving the three-dimensional (3D) microstructure of the brain typically start by
thinly slicing and staining the brain, followed by imaging numerous individual sections with …

Neuroscience has long focused on finding encoding models that effectively ask “what predicts
neural spiking?” and generalized linear models (GLMs) are a typical approach. It is often …

Brain decoders use neural recordings to infer the activity or intent of a user. To train a
decoder, one generally needs to infer the measured variables of interest (covariates) from …

… At each iteration step l, we define A l ( v ∗ l , t l ) as the set of nodes that are admissible to
be … of the sub-sequence built until step l, and of the current node v ∗ l and current time t l . …

The frontal eye field (FEF) plays a central role in saccade selection and execution. Using
artificial stimuli, many studies have shown that the activity of neurons in the FEF is affected by …

In the Turing test a computer model is deemed to “think intelligently” if it can generate answers
that are indistinguishable from those of a human. We developed an analogous Turing-like …

A large number of experiments have asked to what degree human reaching movements
can be understood as being close to optimal in a statistical sense. However, little is known …

Bayesian statistics defines how new information, given by a likelihood, should be combined
with previously acquired information, given by a prior distribution. Many experiments have …

Generalization studies examine the influence of perturbations imposed on one movement
onto other movements. The strength of generalization is traditionally interpreted as a reflection …