The Lecture "Models of biological neural networks"
provides basic and advanced knowledge about the modeling, and
analysis of biological neural networks. Specific topics
addressed are: spiking neuron models, synaptic coupling of
neurons, cooperative phenomena in neural networks such as global
oscillations, mean-field limits (strong and weak coupling) and
continuum limits of neural networks (neural field equations for
perception and working memory), associative memory and attractor
dynamics (Hopfield model), competition models of decision
making.
The course is addressed at master students of mathematics, computational neurosciencs, physics and related disciplines.
- Trainer/in: Nils Erik Greven
- Trainer/in: Tilo Schwalger