Journal
Adaptive Exponential Integrate-and-fire Model
Deep brain stimulation is a neurosurgical treatment for Parkinson’s disease to alleviate motor symptoms such as tremor, rigidity, and akinesia. In an attempt to improve this therapy, research suggests using measures of phase-amplitude coupling (a form of synchronization between different neural oscillations) as a control signal for deep brain stimulation therapy. The aim of this paper is to compare two studies with regard to the purported role of phase-amplitude coupling in Parkinson’s disease and deep brain stimulation therapy. The paper provides a brief introduction to Parkinson’s disease and cross-frequency coupling, in particular phase-amplitude coupling. It then analyzes the two studies mentioned above in terms of their methodology and results. It concludes with a short summary and further research questions
Interview with IKW Connect award winner: Moritz Hartstang – Predicting Comprehensibility in Scientific Text Based on Word Facilitation
The IKW is promoting researchers pushing the frontiers of science beyond the familiar map! The...
Visualizing Deep Neural Networks in Virtual Reality
In this paper, we improve upon existing Virtual Reality (VR) research with regard to the pedagogical use of VR for explaining Deep Neural Networks. We achieved a comprehensive understanding …
Sealing of knowledges: Discussing chatbots, search engines, and the PhD. student’s experience with Nora Freya Lindemann
Nora’s research focuses on the ethical implications of algorithmic decision-making and AI systems, particularly chatbots.
PITA – a Tool for Parameterized and Iterative Terrain Assembly in MuJoCo
The PITA algorithm as a randomization tool to enhance generalization capabilities in Reinforcement Learning.
Cognitive Development of Children with Histories of Prenatal Alcohol Exposure
How is cognitive development of children with histories of prenatal alcohol exposure affected?
Approaching Objectivity Via Barad’s Agential Realism
If we believe the theories of social constructivism, there is nothing like an objective truth. But if this is true, scientific research as it is now would not be possible anymore …
Regularized Curious Hierarchical Actor Critic
Reinforcement Learning has proven its success! Nevertheless, many algorithms are still slow, especially if the rewards given to the agent are sparse…
Imagine Hacking Your Own Dreams
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Phase-Amplitude Coupling in Parkinson’s Disease
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