Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
We discuss the role of spatial representations and visual geometries in vision-based navigation. To a large extent, these choices determine the complexity and robustness of a given...
This volume is intended to help advance the field of artificial neural networks along the lines of complexity present in animal brains. In particular, we are interested in examin...
The need for information integration is paramount in many biological disciplines, because of the large heterogeneity in both the types of data involved and in the diversity of app...
The microscopic analysis of time dependent 3D live cells provides considerable challenges to visualization. Effective visualization can provide insight into the structure and func...
Wim C. de Leeuw, Robert van Liere, Pernette J. Ver...