[Neuroinfo] ANDA 2021 - G-Node Advanced Neural Data Analysis Course, April 19-29, 2021

Thomas Wachtler wachtler at biologie.uni-muenchen.de
Wed Dec 23 17:58:23 CET 2020


ANDA 2021 - G-Node Advanced Neural Data Analysis Course

April 19 - 29, 2021

_Due to the Covid-19 pandemic, this 4th ANDA course will be held as an 
online course_

Techniques to record neuronal data from populations of neurons are 
rapidly improving. Simultaneous recordings from hundreds of channels are 
possible while animals perform complex behavioral tasks. Analysis of 
such massive and complex data becomes increasingly challenging. This 
advanced course aims at providing training in state-of-the-art analysis 
approaches in systems neuroscience.

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. Internationally renowned researchers will 
give lectures on statistical data analysis and data mining methods with 
accompanying exercises. Students will define and perform their own 
analyses on provided data to solve a challenge.

Participants are required to have a strong interest in data analysis, a 
background in a mathematical or related field, knowledge of algebra, 
matrix operations, and statistics, and need to have solid programming 
experience (preferably in Python).

Faculty

  · Michael Denker, Jülich Research Center, Germany
  · Udo Ernst, Univ. Bremen, Germany
  · Sonja Grün, Jülich Research Center, Germany
  · Björn Kampa, RWTH Aachen Univ., Germany
  · Adam Kohn, Albert Einstein College of Medicine, New York, USA
  · Jakob Macke, TU Munich, Germany
  · Luca Mazzucato, Univ. of Oregon, Eugene, USA
  · Martin Nawrot, Univ. of Cologne, Germany
  · Yifat Prut, Hebrew Univ. Jerusalem, Israel
  · Hansjörg Scherberger, German Primate Center, Göttingen, Germany
  · Thomas Wachtler, LMU Munich, Germany

Topics covered

Single neuron properties and statistics · Stochastic processes · 
Surrogate methods · Detection of spatio-temporal patterns · Unitary 
Events · Statistical analysis of massively parallel spike data · 
Higher-order correlation analyses · Elephant toolbox · Spike-LFP 
relationship · Population coding · State space analysis · Machine 
learning · Data mining · Research data management and reproducibility

Application deadline: January 31, 2021

For further information see http://www.g-node.org/anda
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