Document Actions

You are here: Home / News / Events / G-Node Advanced Course on Neural Data Analysis 2017

G-Node Advanced Course on Neural Data Analysis 2017

March 26 - April 8, 2017, Juelich-Barmen

Event details

When

Mar 26, 2017 12:00 AM to
Apr 08, 2017 12:00 AM

Where

Juelich-Barmen

Add event to calendar

Techniques to record neuronal data from single neurons and population of neurons are rapidly improving. Meanwhile recordings are possible from hundreds of channels simultaneously while animals perform complex tasks. Thus also the analysis of such data becomes increasingly challenging. This advanced course aims at providing deeper insights in state-of-the-art questions in neuroscience, analysis approaches and how to formalize questions to neuronal data so they can be answered quantitatively.

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 (multiple-parallel spike trains and local field potentials). In the first week of the course, international researchers will give lectures on statistical data analysis and data mining methods with accompanying exercises. In the second week the participants will analyze provided data on their own, with self-written code and/or by use of provided tool boxes. Participants are required to have a strong interest in data analysis, a background in mathematics or related fields, knowledge on algebra, matrix operations, and statistics, and need to have solid programming experiences (preferably in Python).

Venue: Haus Overbach, Juelich-Barmen and Research Center Juelich, Germany

Course Instructors

  • Moshe Abeles, Bar-Ilan University, Israel
  • Jürgen Dammers, Juelich Research Center, Germany
  • Michael Denker, Juelich Research Center and RWTH Aachen University, Germany
  • Sonja Grün, Juelich Research Center and RWTH Aachen University, Germany
  • Martin Nawrot, University of Cologne, Germany
  • Thomas Wachtler, G-Node, LMU Munich, Germany
  • Byron Yu, Carnegie Mellon University Pittsburgh, USA

Keynote Speakers

  • Alain Destexhe, CNRS, France
  • Yifat Prut, Hebrew Univ Jerusalem, Israel

Topics covered
Single neuron properties and statistics · Modeling stochastic processes · Surrogate methods · Detection of spatio-temporal patterns · Statistical analysis of massively parallel spike data · Higher-order correlation analyses · Spike-LFP relationship · Population coding · State space analysis · Machine learning · Artifact rejection · MEG source localization · Data mining · Data management, reproducibility, data sharing · MNE toolbox, Elephant toolbox

Deadline: Applications must be received by January 31, 2017. Early application is encouraged because number of participants is limited.

Organizers

  • Sonja Grün, Juelich Research Center and RWTH Aachen University, Germany
  • Martin Nawrot, University of Cologne, Germany
  • Thomas Wachtler, G-Node, Ludwig-Maximillians-Universität München, Germany

Please find information on topics, requirements, fees, housing, application modalities, deadlines, etc. on the official website of the course.