Teaching
G-Node engages in a series of international teaching and training activities related to Neuroinformatics. These include specific courses for students, scientists and staff to promote special competences, e.g. on lab practice or scientific computing, and special topic workshops e.g. on tool development. The G-Node training offers are integrated in the teaching activities of the graduate programs of the Bernstein Network Computational Neuroscience (nncn.de). Finally, G-Node organizes special topic symposia at national and international conferences dedicated to the ongoing research in the field of neuroinformatics.
8th G-Node Short Course on Neural Data Analysis
Munich, July 31 - Aug 4, 2017
Organizers: Jan Grewe (Univ Tübingen), Fabian Sinz (Baylor College Houston)
The German Neuroinformatics Node (G-Node) organizes its eigth training course to promote state-of-the-art methods of neural data analysis among PhD students and postdocs. During 4 days the course offers hands-on experience with advanced analysis of data from intra- and extracellular electrophysiology. We encourage applications from students/postdocs with an experimental background that want to widen their repertoire of analysis methods as well as from students with a theoretical background that have an interest in analyzing physiological data.
Advanced Course on Neural Data Analysis
Jülich, Germany, March 26 - April 8, 2017
Organizers: Sonja Grün, Martin Nawrot, Thomas Wachtler
The course is addressed to excellent master and PhD students and young researchers who are interested in learning advanced techniques in data analytics and in getting hands-on experience in the analysis of electrophysiological data.
Previous Courses:
Advanced Scientific Programming in Python
Reading, UK, September 5 - 11, 2016
a Summer School by the G-Node and the Centre for Integrative Neuroscience and Neurodynamics, School of Psychology and Clinical Language Sciences, University of Reading, UK
Organizers: Tiziano Zito, Zbigniew Jedrzejewscy-Szmek, Etienne Roesch, and others
Scientists spend more and more time writing, maintaining, and debugging
software. While techniques for doing this efficiently have evolved, only
few scientists actually use them. As a result, instead of doing their
research, they spend far too much time writing deficient code and
reinventing the wheel. In this course we will present a selection of
advanced programming techniques with theoretical lectures and practical
exercises tailored to the needs of a programming scientist.
Previous Courses:
Advanced Scientific Programming in Python
Munich, Germany, August 31 - September 6, 2015
a Summer School by the G-Node, BCCN Munich, and the Graduate School of Systemic Neurosciences Munich
Organizers: Zbigniew Jedrzejewscy-Szmek, Tiziano Zito, Christopher Roppelt and others
Scientists spend more and more time writing, maintaining, and debugging
software. While techniques for doing this efficiently have evolved, only
few scientists actually use them. As a result, instead of doing their
research, they spend far too much time writing deficient code and
reinventing the wheel. In this course we will present a selection of
advanced programming techniques with theoretical lectures and practical
exercises tailored to the needs of a programming scientist.
7th G-Node Winter Course on Neural Data Analysis
Munich, February 23 - 27, 2015
Organizer: Jan Grewe (Univ Tübingen)
The German Neuroinformatics Node (G-Node) organizes its sixth training course to promote state-of-the-art methods of neural data analysis among PhD students and postdocs. During 4 days the course offers hands-on experience with advanced analysis of data from intra- and extracellular electrophysiology. We encourage applications from students/postdocs with an experimental background that want to widen their repertoire of analysis methods as well as from students with a theoretical background that have an interest in analyzing physiological data.
6th G-Node Winter Course on Neural Data Analysis
Munich, February 24 - 28, 2014
Organizer: Jan Grewe (Univ Tübingen)
The German Neuroinformatics Node (G-Node) organizes its sixth training course to promote state-of-the-art methods of neural data analysis among PhD students and postdocs. During 4 days the course offers hands-on experience with advanced analysis of data from intra- and extracellular electrophysiology. We encourage applications from students/postdocs with an experimental background that want to widen their repertoire of analysis methods as well as from students with a theoretical background that have an interest in analyzing physiological data.
Advanced Scientific Programming in Python
Zurich, Switzerland, September 1 - 6, 2013
a Summer School by the G-Node and the Physik-Institut, University of Zurich
Organizers: Nicola Chiapolini, Zbigniew Jedrzejewscy-Szmek, Tiziano Zito
Scientists spend more and more time writing, maintaining, and debugging
software. While techniques for doing this efficiently have evolved, only
few scientists actually use them. As a result, instead of doing their
research, they spend far too much time writing deficient code and
reinventing the wheel. In this course we will present a selection of
advanced programming techniques with theoretical lectures and practical
exercises tailored to the needs of a programming scientist.
5th G-Node Winter Course in Neural Data Analysis
Munich, February 25 - March 1, 2013
Organizer: Clemens Boucsein (Univ Freiburg, Bernstein Center Freiburg)
The German Neuroinformatics Node (G-Node) organizes its fifth training course to promote state-of-the-art methods of neural data analysis among PhD students and postdocs. During 4 days the course offers hands-on experience with advanced analysis of data from intra- and extracellular electrophysiology. We encourage applications from students/postdocs with an experimental background that want to widen their repertoire of analysis methods as well as from students with a theoretical background that have an interest in analyzing physiological data.
Advanced Scientific Programming in Python
Kiel, Germany, September 2 - 7, 2012
a Summer School by the G-Node and the Institute of Experimental and Applied Physics, Christian-Albrechts-Universität zu Kiel
Organizers: Christian T. Steigies, Christian Drews, Zbigniew Jedrzejewscy-Szmek, Tiziano Zito
Scientists spend more and more time writing, maintaining, and debugging
software. While techniques for doing this efficiently have evolved, only
few scientists actually use them. As a result, instead of doing their
research, they spend far too much time writing deficient code and
reinventing the wheel. In this course we will present a selection of
advanced programming techniques with theoretical lectures and practical
exercises tailored to the needs of a programming scientist. New skills
will be tested in a real programming project: we will team up to develop
an entertaining scientific computer game.
We'll use the Python programming language for the entire course. Python
works as a simple programming language for beginners, but more
importantly, it also works great in scientific simulations and data
analysis. Clean language design and easy extensibility are driving
Python to become a standard tool for scientific computing. Some of the
most useful open source libraries for scientific computing and
visualization will be presented.
This school is targeted at Post-docs and PhD students from all
areas. Substantial proficiency in Python or in another language (e.g.
Java, C/C++, MATLAB, Mathematica) is absolutely required. An optional,
one-day introduction to Python is offered to participants without prior
experience with the language.
4th G-Node Winter Course in Neural Data Analysis
Munich, March 5-9, 2012
Organizer: Sonja Grün (Forschungszentrum Jülich)
The German Neuroinformatics Node (G-Node) organizes its fourth training course to promote state-of-the-art methods of neural data analysis among PhD students and postdocs. During 4 days the course offers hands-on experience with model-driven analysis of data from intra- and extracellular electrophysiology. We encourage applications from students/postdocs with an experimental background that want to widen their repertoire of analysis methods as well as from students with a theoretical background that have an interest in analyzing physiological data.
Advanced Scientific Programming in Python
St Andrews, UK, September 11 - 16, 2011
a Summer School by the G-Node and the School of Psychology, University of St Andrews
Organizers: Katharina Maria Zeiner, Manuel Spitschen, Zbigniew Jedrzejewscy-Szmek, Tiziano Zito
Scientists spend more and more time writing, maintaining, and debugging
software. While techniques for doing this efficiently have evolved, only
few scientists actually use them. As a result, instead of doing their
research, they spend far too much time writing deficient code and
reinventing the wheel. In this course we will present a selection of
advanced programming techniques with theoretical lectures and practical
exercises tailored to the needs of a programming scientist. New skills
will be tested in a real programming project: we will team up to develop
an entertaining scientific computer game.
3rd G-Node Winter Course in Neural Data Analysis
Munich, March 7-11, 2011
Organizer: Martin Nawrot (FU Berlin)
The German Neuroinformatics Node (G-Node) organizes its third training course to promote state-of-the-art methods of neural data analysis among PhD students and postdocs. During 4 days the course offers hands-on experience with model-driven analysis of data from intra- and extracellular electrophysiology. We encourage applications from students/postdocs with an experimental background that want to widen their repertoire of analysis methods as well as from students with a theoretical background that have developed an interest analyzing physiological data in order to test model predictions.
Advanced Scientific Programming in Python
Trento, October 4 - 8, 2010
an Autumn School by the G-Node, the Center for Mind/Brain Sciences and the Fondazione Bruno Kessler
Organizers: Paolo Avesani, Zbigniew Jedrzejewscy-Szmek, Tiziano Zito
Scientists spend more and more time writing, maintaining, and debugging
software. While techniques for doing this efficiently have evolved, only
few scientists actually use them. As a result, instead of doing their
research, they spend far too much time writing deficient code and
reinventing the wheel. In this course we will present a selection of
advanced programming techniques with theoretical lectures and practical
exercises tailored to the needs of a programming scientist. New skills
will be tested in a real programming project: we will team up to develop
an entertaining scientific computer game.
2nd G-Node Winter Course in Neural Data Analysis
Munich, March 1-5, 2010
Organizer: Sonja Grün (RIKEN BSI, Japan)
The German Neuroinformatics Node (G-Node) organizes its second training course to promote state-of-the-art methods of neural data analysis among PhD students and postdocs. During 4 days the course offers hands-on experience with model-driven analysis of data from intra- and extracellular electrophysiology. We encourage applications from students/postdocs with an experimental background that want to widen their repertoire of analysis methods as well as from students with a theoretical background that have developed an interest analyzing physiological data in order to test model predictions.
Advanced Scientific Programming in Python
Warsaw, February 8 - 12, 2010
a Winter School by the G-Node and University of Warsaw
Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists actually use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques with theoretical lectures and practical exercises tailored to the needs of a programming scientist. New skills will be tested in a real programming project: we will team up to develop an entertaining scientific computer game.
Advanced Scientific Programming in Python
Berlin, August 31 - September 4, 2009
Organizers: Michael Schmuker and Tiziano Zito
Many scientists spend much of their time writing, debugging, and maintaining software. But while techniques for doing this efficiently have been developed, only few scientists actually use them. As a result, they spend far too much time writing deficient code and reinventing the wheel instead of doing research. In this course we present a selection of advanced programming techniques with theoretical lectures and practical exercises tailored to the needs of the programming scientist. To spice up theory and foster our new skills in a real-world programming project, we will team up to develop an entertaining scientific computer game.
Image Processing School
Pilsen, September 9 - 12, 2009
Organizer: Albert Cardona
A sattelite to the 2nd INCF Congress of Neuroinformatics in Pilsen, this course, sponsored jointly by the Swiss, German, and UK National Nodes, offers training in image processing using open source tools, addressing fundamentals of image processing, image analysis, image registration, image segmentation and 3D modeling.
Visualization and Segmentation Methods in Neuroscience
Berlin, March 11 - 13, 2009
Organizer: Jürgen Rybak
A G-Node Course in Visualization, Reconstruction and Segmentation of neuro-morphological data with particular emphasis on image stacks acquired by confocal microscopy. Beginners and advanced users are welcome. Seminar and practical examples for training are provided but participants are also invited to bring their own data.
1st G-Node Winter Course in Neural Data Analysis
Munich, Jan 26-30, 2009
Organizer: Martin Nawrot (Freie Universität Berlin)
The G-Node Winter Course in Neural Data Analysis is planned on a yearly basis with. This 1st course gives hands-on experience with neural data analysis for PhD students and young postdocs. Participants with either theoretical or experimental background are equally invited.
