Jülich | Data Analysis | Running lecture |
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Statistical mechanics of neural networksThe neural networks of the brain form one of the most complex systems we know. Many qualitative features of the emerging collective phenomena, such as correlated activity, stability, response to inputs, chaotic and regular behavior, can, however, be understood in simple models that are accessible to a treatment in statistical mechanics. This course presents the fundamentals behind contemporary developments in neural network theory that are based on methods from statistical mechanics of classical systems with a large number of interacting degrees of freedom. |
Type of the course |
Lecture and Exercise, weekly |
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Institution(s) |
RWTH Aachen |
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Lecturer(s) | Helias | |
Time / ETCS | Winter, 3h per week / | |
Weblink | Visit the course website |