Over the past 20 years, neuroimaging has become a predominant technique in systems
neuroscience. One might envisage that over the next 20 years the neuroimaging of …

Dynamic causal modeling (DCM) is a generic Bayesian framework for inferring hidden
neuronal states from measurements of brain activity. It provides posterior estimates of …

Bayesian model selection (BMS) is a powerful method for determining the most likely among
a set of competing hypotheses about the mechanisms that generated observed data. BMS …

Despite the prominence of parietal activity in human neuroimaging investigations of
sensorimotor and cognitive processes, there remains uncertainty about basic aspects of …

The sense of agency is a central aspect of human self-consciousness and refers to the
experience of oneself as the agent of one's own actions. Several different cognitive theories …

Traditionally, research on vision focused on its role in perception and our cognitive life.
Except for the study of eye movements, which have been regarded as an information …

The two visual systems hypothesis suggests processing of visual information into two distinct
routes in the brain: a dorsal stream for the control of actions and a ventral stream for the …

Picking up a cup requires transporting the arm to the cup (transport component) and
preshaping the hand appropriately to grasp the handle (grip component). Here, we used …

How and where in the human brain high-level sensorimotor processes such as intentions
and decisions are coded remain important yet essentially unanswered questions. This is in …

In primates, control of the limb depends on many cortical areas. Whereas specialized
parietofrontal circuits have been proposed for different movements in macaques, functional …