Introduction to Computational Neuroscience

Jülich	Theoretical Neuroscience	Running lecture
Introduction to Computational Neuroscience Models of neurons, synapses and networks; concepts of neuronal coding and cortical information processing; plasticity and learning. Data analysis and visualization by self-written programs; Usage of scientific programming languages (Matlab and Python), also for documenting the analyses; hypothesis tests by numerically generated modified data ('surrogate data'); Simulation of neuronal circuits.

Type of the course	Type of the course Lecture and exercise, weekly
Target audience	Target audience MSc (biology, physics, ect.)
Prerequisites	Prerequisites mathematical background; considerable advantage: programm skills Programming language: Python
Institution(s)	Institution(s) RWTH Aachen University, Jülich
Lecturer(s)	Lecturer(s) Grün et al.
Time / ETCS	Time / ETCS Winter, 3h per week / biology: 6 ECTS; math: 7,5 ECTS; physics: 10 ECTS
Additional info	Additional info This course is taught in combination with "Cortical Structure and Function" taught during the winter semester. This course can also function as Computational Neuroscience (I), if "Cortical Structure and Function" is used as (II). However, I is not a prerequisite for II.
Weblink	Weblink Visit the course website