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M. Athanasiadis11/28/22, 2:55 PM
Over the past decade, advances in computational power have vastly increased the interest in deep neural networks (DNNs) as an efficient machine learning method. Despite their impressive performance on state-of-the-art classification tasks, our understanding of DNNs remains incomplete, mainly owing to their black-box nature, which prohibits understanding of the geometry of the decision...
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A. Sharma11/28/22, 3:10 PM
The large-scale structural organisation of the adult brain is relatively stable and unchanging. However, in some animal species, including humans, new neurons are born and integrated into the hippocampal network throughout lifetime. The hippocampus is involved in functions such as memory formation, pattern separation, pattern completion, and spatial navigation, among others. However, how the...
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J. B. Axenfeld11/28/22, 3:25 PM
Surveys are facing pressures to shorten questionnaires: Long questionnaires are associated with low response rates, poor response quality, and are particularly considered inappropriate for the increasingly popular online mode. This is why survey designs with planned missing data, such as split questionnaire designs, are becoming more and more common in large-scale social surveys: They help...
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S. Bang11/28/22, 3:40 PM
Can we predict if (and when) a patient develops cancer? What are risk factors? Is it possible to tailor cancer treatment to individual patients? To answer these questions, we need to understand how the process of cancer development works on a cellular level. As part of the interdisciplinary field of systems biology, we try to answer these questions by mechanistically modelling cell signal...
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