Predictive Processing theories hold that the mind’s core aim is to minimize prediction-error about its experiences. But prediction-error minimization can be ‘hacked’, by placing oneself in highly predictable environments where nothing happens. Recent philosophical work suggests that this is a surprisingly serious challenge, highlighting the obstacles facing ‘theories-of-everything’ in psychology. Read Full Article (External Site) […]

Human action control relies on representations that integrate perception and action, but the relevant research is scattered over various experimental paradigms and the theorizing is overly paradigm-specific. To overcome this obstacle we propose BRAC (binding and retrieval in action control), an overarching, integrative framework that accounts for a wide range of seemingly unrelated findings by […]

Accurately digitizing the brain at the micro-scale is crucial for investigating brain structure-function relationships and documenting morphological alterations due to neuropathies. Here we present a new Smart Region Growing algorithm (SmRG) for the segmentation of single neurons in their intricate 3D arrangement within the brain. Its Region Growing procedure is based on a homogeneity predicate […]