Machine learning and neuroscience have a profoundly interconnected history with modern deep learning having its roots in neurophysiology.

The presentation will provide an overview of our neuroimaging studies involving elderly volunteers with uncompensated age-related hearing loss.

TBA | Dr. Leonard Henckel, University College Dublin

Deep neural networks (DNNs) are often framed as being inspired by the brain. Although their advent has led to remarkable success stories and a plethora of large-scale applications, they however lack a key ability humans posses: the capacity for lifelong learning.

Despite the vivid subjective impression of a rich sensory world, people actually process only little information from their environment at a time. Which aspects of the world are processed under which conditions is studied in research on selective attention.

Distortion of signals occurs as a disturbance in most human-made electronics, or human communication at large. At least so goes the general view.

Die Konferenz "Women in Automorphic Forms" (WIAF) beleuchtet aktuelle, herausragende Entwicklungen im Forschungsbereich der automorphen Formen.