This course explains the mathematical and computational models that are used in the field of theoretical neuroscience to analyze the collective dynamics of thousands of interacting neurons.
Are you fascinated by the intricate workings of the human brain? Do you want to unravel the mysteries behind decision-making, memory recall, and perception? Welcome to the cutting-edge world of Theoretical Neuroscience! This advanced course delves deep into the mathematical and computational models that explain how our brain functions at a neural level. You'll explore the collective dynamics of thousands of interacting neurons and learn how to analyze these complex systems using sophisticated mathematical techniques.
To succeed in this course, you should have a strong foundation in:
These should be at the level typically acquired in a bachelor's degree in physics, mathematics, or electrical engineering.
Textbook: "Neuronal Dynamics - from single neurons to networks and models of cognition" by W. Gerstner, W.M. Kistler, R. Naud and L. Paninski, Cambridge Univ. Press. 2014
Online version available at: http://neuronaldynamics.epfl.ch/
The course is based on Chapters 12 and 16-19 and is structured over 6 weeks:
Each week includes:
The course concludes with a final exam.
Total duration: 6 weeks
Weekly workload: Approximately 2.5-3 hours
Join us on this exciting journey into the mathematical foundations of brain function and unlock the secrets of cognition!
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