Machine learning algorithms can help to find patterns (coherence) in the "ingredients" (data). As long as the conditions aren 't changed, taking these patterns as it 's starting point, it can extrapolate the ingredients to the (near) future, showing some future developmental possibilities (again, as …

In this chapter we discuss the implications of our research in the wider context of current models of brain function, endeavoring to understand the consequences of score-dependence and improvisation in terms of the ‘predicting brain’, the dual-stream model of perception and action, the procedural-declarative …

a b s t r a c t: Objective: To study the impact of target volume changes in brain metastases during fractionated stereotactic radiosurgery (fSRS) and identify patients that benefit from MRI guidance. Material and methods: For 15 patients (18 lesions) receiving fSRS only (fSRSonly) and 19 patients (20 …

Design research is used to develop a piano method for use by Cochlear Implant users. The method is designed to promote audiomotor integration rather than visuomotor integration, but will not involve singing. It is based on our current understanding of brain function, in particular the concepts of the …

Current models of brain function indicate that sensory input is not only processed in two anatomically and functionally separate pathways, but that perception is the product of a predicting brain and not purely a representation of the input to which it has access. Sensory modalities are furthermore intertwined, …

Three topics are discussed: audiomotor transformations in music, the aural perception of music, and procedural learning and music syntax. Biologically, the ability to make music and enjoy it is based on the innate capacities for beat induction and relative pitch (recognition of melodic contour). The …