Colloquium: Brains in Space: An Interdisciplinary Research Colloquium on Spatial Navigation
In this colloquium, speakers will present their research in various areas of spatial navigation, including behavioral, neuroscientific, and theoretical approaches. The goal is to foster interdisciplinary discussions along the lines of the review article "A Map of Spatial Navigation for Neuroscience" (Parra-Barrero et al., 2023) that proposes a taxonomy of spatial navigation processes in mammals. The talks will cover a diverse range of topics, from the neural underpinnings of navigation to complex navigation behaviors. Attendees will gain a better understanding of how the mammalian brain represents and navigates through space, as well as learn about several cognitive processes such as learning and memory through the lens of spatial navigation.
Takes place every week virtually on Tuesday from 16:00 to 17:30 CEST (central European summer time)
First appointment is TBA
Last appointment is on TBA
Zoom link: https://ruhr-uni-bochum.zoom-x.de/j/67839364827?pwd=RfcIgK8OUfjkwWTNCf80ARXy118xe8.1
Schedule (provisional)
| 29.10.24 | Klaus Gramann - TU Berlin | |
| Mobile Brain/Body Imaging in Actively Navigating Humans | ||
| TBA | ||
| 19.11.24 | Russell Epstein - U Penn | |
| TBA | ||
| TBA | ||
| 26.11.24 | Michael Hornberger - University of East Anglia | |
| Quo vadis? – Spatial disorientation in preclinical and clinical Alzheimer’s disease | ||
| TBA | ||
| 03.12.24 | Ed Manley - University of Leeds | |
| TBA | ||
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TBA |
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| 28.01.25 | Arne Ekstrom - University of Arizona | |
| TBA | ||
| TBA | ||
Lecturers
Prof. Dr. Sen ChengLecturer |
(+49) 234-32-29486 sen.cheng@rub.de NB 3/33 |
Details
- Course type
- Seminars
- Term
- Winter Term 2024/2025
The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany
Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210