Dr. Johannes Nagele

With the onset of the global pandemic in 2019 affecting billions of people around the globe, the need for smooth functioning healthcare, even in high-stress situations, became abundantly clear. The crisis uncovered major shortcomings in intensive care and nursing homes including a shortage of trained personnel. Widespread increase in cancer, diabetes, and cardiovascular disease; systems were at the brink of collapse due to shortage of healthcare professionals in many areas. However, cloud… Mehr anzeigen

With the onset of the global pandemic in 2019 affecting billions of people around the globe, the need for smooth functioning healthcare, even in high-stress situations, became abundantly clear. The crisis uncovered major shortcomings in intensive care and nursing homes including a shortage of trained personnel. Widespread increase in cancer, diabetes, and cardiovascular disease; systems were at the brink of collapse due to shortage of healthcare professionals in many areas. However, cloud technologies, robotic surgery, and artificial intelligence (AI) are revolutionizing the industry by enabling personalized patient care and increasing efficiency by eliminating repetitive tasks. While globalization of the healthcare industry and supply chain increases complexity of processes due to interdependencies, technology fosters collaboration across continents and drives a shift toward prevention of serious disease. In this chapter, we analyze the opportunities and challenges presented by these new technologies, highlighting the promise of AI in healthcare management and the obstacles that still need to be overcome. Weniger anzeigen

In this work I am uncovering fundamental aspects of the high variability of neural spatial representations in mammalian brains.

Action potentials of grid cells in the entorhinal cortex of navigating rodents occur every two seconds on average. If one considers the precise temporal sequence of these events, however, it can be seen that they rarely occur in isolation. In fact, the intervals between successive action potentials can be on the order of a few milliseconds. Mapped to the trajectory of the animal, a clear clustering of the action potentials in space can be observed as well. The places where the density of such… Mehr anzeigen

Action potentials of grid cells in the entorhinal cortex of navigating rodents occur every two seconds on average. If one considers the precise temporal sequence of these events, however, it can be seen that they rarely occur in isolation. In fact, the intervals between successive action potentials can be on the order of a few milliseconds. Mapped to the trajectory of the animal, a clear clustering of the action potentials in space can be observed as well. The places where the density of such events is particularly high are called firing fields and are arranged in a hexagonal grid... Weniger anzeigen

The brain’s representation of external space is reflected in spatially modulated firing of hippocampal place cells and grid cells in the entorhinal cortex (EC). Experiments in hippocampus suggest that varying levels of attention underlie the high variability of place cells [Fenton et al. 2010]. Whether the same is true for grid cells, is an open and intriguing question. To tackle this question, we study the variability of grid-cell spiking for runs through firing fields, both on linear tracks… Mehr anzeigen

The brain’s representation of external space is reflected in spatially modulated firing of hippocampal place cells and grid cells in the entorhinal cortex (EC). Experiments in hippocampus suggest that varying levels of attention underlie the high variability of place cells [Fenton et al. 2010]. Whether the same is true for grid cells, is an open and intriguing question. To tackle this question, we study the variability of grid-cell spiking for runs through firing fields, both on linear tracks and in the open field, using recordings that were made available by E. Moser (Trondheim). By analyzing the factors leading to variability, we find that most of the variability on the linear track can be attributed to trial-to-trial variability of the rat’s path, while the spatial firing map remains stable. This result is in stark contrast to the much higher variability of place cells [Fenton et al. 2010; Fenton and Muller 1998; Jackson and Redish 2006]. Fenton and colleagues report that the variability in hippocampus depends on the context, with the lowest variability occurring during tasks in which the animals had to navigate precisely [Fenton et al. 2010]. The variability we find for grid cells is lower than this minimum. This lends additional support to the hypothesis that the variability in the hippocampus comes from other sources, such as the lateral EC [Rennó-Costa et al. 2010], and not from the grid cells in the medial EC. Weniger anzeigen