[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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