This course provides an introduction to modern theoretical neuroscience with an attempt to cover all relevant
spatial scales (from molecules to brain areas) as well as temporal scales (sub-millisecond to evolutionary times
scales). An emphasis is put on models describing the subcellular machinery of neurons (e.g. synapses, ion
channels), single neurons, networks of neurons, cortical circuits, columnar systems and interacting brain
regions. Both functional and developmental aspects are discussed. Applications include representations of
sensory inputs by neural circuits, with an emphasis on the mammalian visual system, short-term memory,
multi-model integration and decision making.
- Trainer/in: Jonas Elpelt
- Trainer/in: Matthias Kaschube