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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 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.

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