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Full-Text Articles in Physical Sciences and Mathematics
Brain-Encysting Trematodes (Euhaplorchis Californiensis) Decrease Raphe Serotonergic Activity In California Killifish (Fundulus Parvipinnis), Siri H. Helland-Riise, Marco A. Vindas, Ida B. Johansen, Lauren E. Nadler, Kelly L. Weinersmith, Ryan F. Hechinger, Øyvind Øverli
Brain-Encysting Trematodes (Euhaplorchis Californiensis) Decrease Raphe Serotonergic Activity In California Killifish (Fundulus Parvipinnis), Siri H. Helland-Riise, Marco A. Vindas, Ida B. Johansen, Lauren E. Nadler, Kelly L. Weinersmith, Ryan F. Hechinger, Øyvind Øverli
Marine & Environmental Sciences Faculty Articles
Modulation of brain serotonin (5-HT) signalling is associated with parasite-induced changes in host behaviour, potentially increasing parasite transmission to predatory final hosts. Such alterations could have substantial impact on host physiology and behaviour, as 5-HT serves multiple roles in neuroendocrine regulation. These effects, however, remain insufficiently understood, as parasites have been associated with both increased and decreased serotonergic activity. Here, we investigated effects of trematode Euhaplorchis californiensis metacercariae on post-stress serotonergic activity in the intermediate host California killifish (Fundulus parvipinnis). This parasite is associated with conspicuous behaviour and increased predation of killifish by avian end-hosts, as well as …
10302 Summary - Learning Paradigms In Dynamic Environments, Barbara Hammer, Pascal Hitzler
10302 Summary - Learning Paradigms In Dynamic Environments, Barbara Hammer, Pascal Hitzler
Computer Science and Engineering Faculty Publications
The seminar centered around problems which arise in the context of machine learning in dynamic environments. Particular emphasis was put on a couple of specific questions in this context: how to represent and abstract knowledge appropriately to shape the problem of learning in a partially unknown and complex environment and how to combine statistical inference and abstract symbolic representations; how to infer from few data and how to deal with non i.i.d. data, model revision and life-long learning; how to come up with efficient strategies to control realistic environments for which exploration is costly, the dimensionality is high and data …