Training

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.

 

ANDA 2018 - 2nd G-Node Advanced Course on Neural Data Analysis

Jülich, Germany, March 5 - 22, 2018

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.

More info..

 


Previous Courses:

 

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.

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ANDA 2017 - G-Node 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.

More info..

 

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.

More info..

 


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.

More info..

 

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.

Read more

 

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.

Read more

 

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.

More info..

 

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.

Read more

 

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.

More info..

 

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.

Read more

 

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.

More info..

 

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.

Read more

 

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.

More info..

 

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.

Read more


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.

More info..


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.

Read more

 

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.

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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.

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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.

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