We can make exquisitely precise movements without the apparent need for conscious
monitoring. But can we monitor the low-level movement parameters when prompted? And what …

Detecting and evaluating errors in action execution is essential for learning. Through complex
interactions of the inverse and the forward model, the human motor system can predict …

It is still debated whether metacognition, or the ability to monitor our own mental states,
relies on processes that are “domain-general” (a single set of processes can account for the …

The prediction of the sensory consequences of physical movements is a fundamental
feature of the human brain. This function is attributed to a forward model, which generates …

In contrast to a self-generated action, a human-to-human object handover represents a semi-predictable
task, due to a lack of exact knowledge about the partner's future movement …

We can monitor our intentional movements and form explicit representations about our
movements, allowing us to describe how we move our bodies. But it is unclear which information …

… experiments: a study by Maurer, Maurer, and Müller (2015); … similar to the one used by
Maurer and colleagues, except that Joch … compared with the findings of Maurer and colleagues. …

The analysis of timing in human movements requires a reference with which timing can be
quantified. In reactive movements this reference is given by the stimulus. However, many …

Timely movement initiation is crucial in quick reactions or when a series of movements has
to be strung together in a timed fashion to create a coordinated sequence. Stochastic neural …

The goal of the study was to quantify error prediction processes via neural correlates in the
Electroencephalogram (EEG). Access to such a neural signal will allow to gain insights into …