Description

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 timesscales). 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.

Course Contents

Date	Lecture	Exercise	Tutorial
2018-10-19	Week #1	Sheet #1	Tutorium #1
2018-10-26	Week #2	Sheet #2	Tutorium #2 Jupyter Exercise
2018-11-02	Week #3	Sheet #3	Week #3 solution
2018-11-09	Week #4	Sheet #4	-
2018-11-16	Week #5	Sheet #5	Example solution #5
2018-11-23	Week #6	Sheet #6	Example solution #6
2018-11-30	Week #7	Sheet #7	Example solution #7
2018-10-26	Week #8	Sheet #8	Example solution #8
2018-12-07	Week #9	Sheet #9	-
2018-12-14	Week #10	-	-
2018-12-21	-	-	-
2019-01-18	Week #11	Sheet #10	Example solution #10
2019-01-25	Week #12	Sheet #11	Hodgkin-Huxley model for the browser Example solution #11
2019-02-01	Week #13	Sheet #12	Example solution #12
2019-02-08	Week #14	-	-
2019-02-15	-	-	-