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GEM 2023 Conference
- Prof. Dr. Sen Cheng
- /
- June 30, 2023
The FOR 2812, spearheaded by Prof. Dr. Sen Cheng, organized the GEM 2023 Conference from June 12-14, 2023. It featured 6 keynote speakers, 24 contributed talks and 2 poster session. Across the 3 days, researchers at various stages of their careers presented and discussed the latest research in generative episodic memory. The blending of different disciplines, philosophy, psychology and neuroscience, created a platform for interdisciplinary exchange, and provided participants with a rich and dynamic experience.
A highlight was the interdisciplinary discourse. Scientists across different disciplines were fully engaged during presentations even when it was outside their own field. Philosophers passed by computational neuroscience posters, experimenters discussed philosophical matters, people mixed and mingled and discussed. New networks were built, ideas for collaborations were formed, and future next visits were planned.
Established researchers strongly supported the associated events such as the Women in Memory Research program, PhD symposium and fireside chat.
To put it in John Sutton’s words “Fab students, postdocs, colleagues, women in science initiative, pluralistic & supportive!” @SuttonProfessor. Twitter.
Or in the words of Scott Cole, “A super inspiring conference bringing together computational neuroscientists, philosophers and lowly cognitive psychs like me! Looking forward to the next GEMemory conference” @ScottColePsych. Twitter.
The Institut für Neuroinformatik (INI) is a research unit of the Faculty of Computer Science at the Ruhr-Universität Bochum. Its scientific goal is to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory and 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 psychology and neurophysiology as well as machine learning, neural artificial intelligence, computer vision, and robotics.
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