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Cognitive Neuroscience for AI Developers

Lecturers

Details

Time and place:

This course will be held online until the coronavirus pandemic is contained to such an extent that the Bavarian state government can allow face-to-face teaching again. Information regarding the online teaching will be provided in the studon course.

  • Mon 16:15-17:45, Room H14
  • Tue 16:15-17:45, Room H4

Fields of study

  • WPF MT-BA from SEM 5
  • WPF IuK-MA-MMS-INF from SEM 1
  • WPF ICT-MA-MPS from SEM 1
  • WPF INF-MA from SEM 1
  • WPF INF-BA-V-ME from SEM 1
  • PF CE-MA-TA-IT from SEM 1
  • WPF CME-MA from SEM 1
  • WPF MT-MA-BDV from SEM 1
  • WPF AI-MA from SEM 1

Prerequisites / Organizational information

FAU students register for the written exam via meinCampus.
https://www.studon.fau.de/crs3690005.html

Content

Neuroscience has played a key role in the history of artificial intelligence (AI), and has been an inspiration for building human-like AI, i.e. to design AI systems that emulate human intelligence.
Neuroscience provides a vast number of methods to decipher the representational and computational principles of biological neural networks, which can in turn be used to understand artificial neural networks and help to solve the so called black box problem. This endeavour is called neuroscience 2.0 or machine behaviour. In addition, transferring design and processing principles from biology to computer science promises novel solutions for contemporary challenges in the field of machine learning. This research direction is called neuroscience-inspired artificial intelligence.
The course will cover the most important works which provide the cornerstone knowledge to understand the biological foundations of cognition and AI, and applications in the areas of AI-based modelling of brain function, neuroscience-inspired AI and reverse-engineering of artificial neural networks.

Recommended Literature

Gazzaniga, Michael. Cognitive Neuroscience - The Biology of the Mind. W. W. Norton & Company, 2018. Ward, Jamie. The Student's Guide to Cognitive Neuroscience. Taylor & Francis Ltd., 2019. Bermúdez, José Luis. Cognitive Science: An Introduction to the Science of the Mind. Cambridge University Press, 2014. Friedenberg, Jay D., and Silverman, Gordon W. Cognitive Science: An Introduction to the Study of Mind. SAGE Publications, Inc., 2015. Gerstner, Wulfram, et al. Neuronal dynamics: From single neurons to networks and models of cognition. Cambridge University Press, 2014.

Additional information

Expected participants: 42