معرفی
Prof. Robert Schmidt is a Professor for Neural Data Science at the Institut für Neuroinformatik (INI) within the Faculty of Computer Science at Ruhr-Universität Bochum. His research focuses on computational modeling of neural mechanisms underlying cognitive functions, particularly using advanced data analysis methods for large-scale neural recordings. He holds a PhD in Neurobiology from Humboldt-Universität zu Berlin and has held academic positions at the University of Sheffield and University of Freiburg.
Education:
- BSc in Cognitive Science (University of Osnabrück, 1999-2002)
- MSc in Neuroscience (University of Otago, 2003-2005)
- PhD in Neurobiology (Humboldt-Universität zu Berlin, 2005-2010)
Research Interests: His work bridges computational neuroscience and neural data science, addressing challenges in analyzing high-dimensional neural datasets. Key areas include dopamine signaling in basal ganglia circuits, oscillatory mechanisms in cognition, and translational neuroscience applications in Parkinson’s disease. He develops novel machine learning approaches for neural data interpretation and collaborates on experimental models of psychiatric disorders.
Teaching: Courses include Computational Neuroscience, Introduction to Neural Data Science, and Reinforcement Learning, emphasizing interdisciplinary methods in artificial intelligence and neuroscience.
Labs/Teams: As part of the INI, his team contributes to understanding natural cognitive systems and inspiring artificial intelligence solutions. The institute integrates experimental psychology, neurophysiology, robotics, and machine learning under the directorate of Prof. Schmidt and colleagues.
