First Event: Extended Introduction, Oct. 17th, 18:00 to 19:30, BCCN House 6, Lecture Hall.
Locations:
Bernstein Center for Computational Neuroscience Berlin, House 6/House 2,
Philippstr. 13, 10115 Berlin and Institute for Theoretical Biology, House 4, Philippstraße 13, 10115 Berlin.
Times:
Target Group: Students of Computational Neuroscience, Medical Neuroscience, Biology, Biophysics, Physics, Mathematics, Computer Science, and Psycholgy.
Requirements: Basic knowledge in Mathematics (e.g. calculus, differential equations, algebra) and a higher programming language (e.g. C, C++, Python, MatLab).
Aims and Topics: Participants should learn basic concepts, their theoretical foundation, and the common models used in Computational Neuroscience. The Module ''Models of Neural Systems'' also provides some neurobiological knowledge and explains the relevant theoretical approaches as well as the findings resulting form these approaches so far. After completing the Module, participants should understand strengths and limitations of the different models. Participating students will learn to appropriately choose the theoretical methods for modeling cellular neural systems. They will learn how to apply these methods while taking into account the neurobiological findings, and they should be able to critically evaluate results obtained. Participants should also be able to adapt models to new problems as well as to develop new models of neural systems.
Here is the full description of the master modules Models of Neural Systems / MB-B10 and the bachelor module BXY-27 Theoretische Biologie.
People and Contents:
Theoretical Lectures
by
Benjamin Lindner.
Analytic Tutorials
by
Roberta Evangelista, Andre Holzbecher, and Michael Zaks.
Experimental Lectures
by Robert Martin.
Computer Practical
by
Davide Bernardi, Paula Kuokkanen, Natalie Schieferstein, and Sebastian Vellmer
(+ Rike-Benjamin Schuppner for the introduction in the first two weeks).
Moodle:
Further details are available at this moodle page.
Analytic Tutorials: To obtain a course certificate for 4 ECTS ("Schein") that certificates a successful participation, solutions to the weekly assignments must be turned in on Mondays before the beginning of the lecture, and at least 75% (for MB-B10: 50%) of the points in the exercises must be obtained. Every student must turn in his/her own solution. A solution to an assigment can be generated by groups of 2 students (and the cooperation partner must be mentioned), but a particular pair of students can submit a solution to only one assignment. An active participation in the tutorials is also required.
Computer Practicals: To obtain a course certificate ("Schein" 3 or 4 ECTS) that certifies a successful participation, solutions to the weekly assignments must be turned in on the day preceding the computer practical, and on average at least 75% (for MB-B10 and BXY-27: 50%) of the points in the exercises must be obtained. Every student must submit his/her own solution. A solution to an assigment can be generated by groups of 2 students (and the cooperation partner must be mentioned), but a particular pair of students can submit a solution to only one assignment.
In addition to the weekly tutorials, the results of a programming project must be summarized in a written proposal and presented in an oral talk on Tuesday, Feb 13th 2018 (18-20h). The presentations will take place in the BCCN lecture hall.
Module Examinations: Oral exam (graded); certificates of successful participation in the tutorials and/or practicals is a prerequisite for the oral exam. The exam days are March 19th 2018 and March 20th 2018. Note that the exam should be taken at the end of the semester but has to be taken at the latest by the end of the semester following the one of obtaining the tutorial certificates.
Recommended reading:
P. Dayan and L.F. Abbott (2001) Theoretical Neuroscience. MIT Press, Cambridge, Massachusetts.
E. M. Izhikevich (2007) Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting. MIT Press, Cambridge, Massachusetts.
Johnston, Wu (1995) Foundations in Cellular Neurophysiology, MIT Press, Cambrigdge, Massachusetts.
Advanced/additional reading:
M. F. Bear, B. W. Connors, M. A. Paradiso (2007) Neuroscience: Exploring the Brain, Lippincott Williams & Wilkins, Baltimore, Maryland.
Thomas P. Trappenberg (2002) Fundamentals of Computational Neuroscience. Oxford University Press, Oxford, UK.
P. Churchland and T. Sejnowski (1994). The Computational Brain. MIT Press, Cambridge, MA.