Past Classes (page 1 of 16 – next page)
Winter 2011/2012
Class Teaching Weeks Course 2: Neuroimaging
Type of class Seminar
Schedule 23 - 27 January 2012 (Mon–Tue & Thur–Fri).
Location Room 122, Luisenstraße 56, 10117 Berlin-Mitte
Target audience Mind & Brain Students
Class Teaching Weeks Course 6: Cognitive Science
Type of class Seminar
Instructor Henry Brighton
Schedule 17 - 21 October 2011
Location Humboldt Graduate School, Luisenstr. 56, 10117 Berlin
Target audience Mind & Brain Students
Class Teaching Weeks 5: Computational Neuroscience & Statistics
Type of class Seminar
Schedule 11-14 Oktober 2011
Location Luisenstraße 56, 10117 Berlin
Target audience Mind and Brain Students.
Summer 2011
Class Teaching Weeks Course 1: Neuroanatomy and Neurophysiology
Type of class Seminar
Schedule 26 - 30 September 2011 Instructor: Derek Ott (Neuroanatomy), Uwe Heinemann & Arno Villringer (Neurophysiology)
Location Berlin School of Mind and Brain
Target audience Students of Mind & Brain
Class Seminar on imaging applications in research including clinical aspects with a focus on neuroscience
Type of class Seminar
Instructor PD Dr. Andreas Wunder
Schedule Department of Experimental Neurology, Bonhoefferweg 3, Charité Campus Mitte, Seminar Room (R. 01 002)
Location Wednesdays 17:30 - 19:45, starting on June 01 2011, 8 Sessions
Target audience MSc and PhD, open to all neuroscience programs
Class Properties of the calcium signal in different cell types. Role of transient receptor potential channels in calcium regulation in context with diseases and cancer
Type of class Lecture
Instructor Dr. Stefan Mergler
Schedule Flexible (afternoon preferred)
Location Charité Campus Virchow-Klinikum, Library in the Dept. of Ophthalmology, CVK (lecture room); Location can be changed dependent on the number of participating students (e.g. Forum II at CVK).
Target audience All fellows/students interested in Ca2+ signaling and TRP channel research (MSc/PhD).
Class TRP channels in diseases and cancer
Type of class Journal Club
Instructor Dr. Stefan Mergler
Schedule Flexible (afternoon preferred)
Location Charité Campus Virchow-Klinikum, Dept. of Ophthalmology (CVK), Library (suggested); alternative location possible.
Target audience Students/Fellows interested in TRP channel research.
Class Acquisition and Analysis of Neural Data SoSe 2011 - Theoretical Lecture
Type of class Lecture of Computational Neuroscience
Instructor Dr. Richard Kempter, Dr. Benjamin Blankertz
Schedule Fridays 9:15 - 10:45
Location Bernstein Center for Computational Neuroscience
Target audience This module is compulsory for students of the Master program Computational Neuroscience, compulsory elective or elective for the specialization Computational Neuroscience, Artificial Intelligence, and Signal Processing (generally for advanced Diploma students or master students).
Class Acquisition and Analysis of Neural Data 2010/2011 - Tutorial
Type of class Tutorial
Instructor Prof. Dr. Michael Brecht, Dr. Felix Blankenburg
Schedule Fridays 11:00 - 12:30
Location BCCN, Computer pool, Haus 2
Target audience Students of Computational Neuroscience, Medical Neuroscience, Biology, Biophysics, Physics, Mathematics, and Computer Science.
Class Programming Course and Project SoSe 2011
Type of class Computer practical course of Computational Neuroscience
Instructor Robert Martin, PhD
Schedule Thursdays 16:00 - 18:00
Location Bernstein Center for Computational Neuroscience
Target audience This module is compulsory for students enrolled in the Master program Computational Neuroscience. In summer semester 2011 this tutorial takes place by appointment only!
Class Machine Intelligence II - Computer tutorial
Type of class Tutorial
Instructor Brijnesh J. Jain
Schedule Thursdays 14:00-16:00
Location Technische Universität Berlin, Franklinstraße 28/29; Room 048
Class Machine Intelligence II - Theoretical Lecture
Type of class Lecture
Instructor Prof. Dr. Klaus Obermayer
Schedule Thursdays 10:15 - 11:45
Location Technische Universität Berlin, MA 004
Target audience This module is compulsory for students enrolled in the Master program Computational Neuroscience. Module components are compulsory elective or elective for students of other Master and Diploma programs of Berlin’s universities, who wish to specialize in Machine Learning and Artificial Intelligence, and who fulfill the following prerequisites: analysis, linear algebra, probability calculus and statistics, on a level comparable to mathematics courses for engineers (worth 24 credit points); basic programming skills; good command of the English language.