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Understanding the Brain Thanks to Artificial Intelligence

Computer models of neural networks developed by humans can be arbitrarily far removed from reality. Nevertheless, they are a great help to researchers in planning and evaluating learning experiments.

Why is it so difficult to let go of learned behaviors? How do computer models based on artificial intelligence (AI) help us understand this better? Sen Cheng from the INI and psychology Professor Metin Üngör from the Philipps University Marburg explain.

https://news.rub.de/english/2024-09-13-interview-understanding-brain-thanks-artificial-intelligence

https://news.rub.de/wissenschaft/2024-09-13-im-gespraech-das-gehirn-verstehen-dank-kuenstlicher-intelligenz

Photo credits: Roberto Schirdewahn, Ruhr University Bochum


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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D-44801 Bochum, Germany

Tel: (+49) 234 32-28967
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