Connectionists: BCF/NWG course "Analysis and Models in Neurophysiology" 2014 at the Bernstein Center Freiburg, Germany

Birgit Ahrens birgit.ahrens at bcf.uni-freiburg.de
Wed Apr 16 05:37:46 EDT 2014


  BCF/NWG-Course


  "Analysis and Models in Neurophysiology"

/Sunday, October 5 - Friday, October 10, 2014 /
/Bernstein Center Freiburg, Hansastraße 9a, 79104 Freiburg, Germany/

*Aim of the course:*

The course is intended to provide advanced Diploma/Masters and PhD 
students, as well as young researchers from the neurosciences with 
approaches for the analysis of electrophysiological data and the 
theoretical concepts behind them.

*The course includes various topics such as*:

  * Neuron models and spike train statistics
  * Point processes and correlation measures
  * Systems and signals
  * Local field potentials

The course will consist of lectures in the morning and and matching 
exercises using Matlab and Mathematica in the afternoon. Experience with 
these software packages will be helpful but is not required for 
registration. The participants should have a basic understanding of 
scientific programming. This course is designated especially for 
advanced diploma/master-students and PhD-students (preferentially in 
their first year).

*Application:*
Please apply by sending one pdf document containing your CV and a 
meaningful letter of motivation to nwg-course at bcf.uni-freiburg.de.
The letter of motivation should refer to the following points:

  * Reasons for wanting to take this course
  * Background in mathematics
  * Experience using Matlab/Python/Mathematika
  * Background in neuroscience

The course is limited to 20 participants.

*Course fees:* NWG members - 50EUR, others - 125EUR

*Application deadline: *June 30, 2014

*More information: 
*http://www.bcf.uni-freiburg.de/events/conferences-workshops/20141005-nwgcourse



*-- Dr. Birgit Ahrens --*
Teaching & Training Coordinator
Bernstein Center Freiburg
University of Freiburg
Hansastr. 9a
D - 79104 Freiburg
Germany

Phone: +49 (0) 761 203-9575
Fax: +49 (0) 761 203-9559
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