This is a lecture in the context of our ongoing research in neuromorphic computing in close relation to the Human Brain Project (HBP). It aims at students in the MA program but may also have some attraction to advanced students at the BA level. Participants are expected to have a good knowledge of physics (electrodynamics and statistical physics in particular) and mathematics (analysis, linear algebra). Some basic programming skills are required to solve the problem sets provided in the tutorials. The lecture will address theoretical foundations of information science, biophysical basics of the nervous system, mathematical models of cells and networks, theories of neural information processing and methods to simulate and emulate such systems.
The course consists of weekly 2 hour lectures (Monday from 14-16 c.t., KIP Lecture Hall 2) and weekly 2 hour tutorials. To pass, 60% of the homework problem sets have to be solved. The grading is determined by a written test during the last lecture week.
The course will be held by Dr. Mihai Petrovici from the Kirchhoff-Institute for Physics.
Here are 2 links to learn more :
Direct Link to the lecture in the LSF system
Direct Link to the lecture in the Moodle system (password will be provided during the lecture)
The lecture is complemented by a seminar with presentations by students on topical research in the field. The seminar is primarily aimed at MA students but again, in principle open to BA students as well. Preference for presentations will be given to MA students and those attending the lecture. The seminar just follows the lecture on Mondays from 16-18 c.t., again in KIP Lecture Hall 2.
In contrast to what is currently written in the LSF system, the seminar qualifies as "obligatory master seminar" with 6 ECTS credit points.
