== Acquisition and Analysis of Neuronal Data ==

'''Integrated lecture and tutorials'''

=== Dates, Lecturers, and Location ===

||<(|2> '''Dates and Rooms:''' || Lecture: Fridays from 10:00 to 11:30 am in the lecture hall 102 ||
|| Tutorials: Fridays from 12:30 to 14:00 pm in rooms 115 and/or 215 ||
||<(|2> '''Lecturers:''' || ''Part 1:'' [[http://itb.biologie.hu-berlin.de/~kempter/|Richard Kempter]] ||
|| ''Part 2:'' [[http://user.cs.tu-berlin.de/~blanker/|Benjamin Blankertz]], Carmen Vidaurre  ||
|| '''Location:''' || Bernstein Center for Computational Neurosciences Berlin, [[http://maps.google.de/maps?f=q&hl=de&geocode=&q=Philippstr.+13,+Berlin&jsv=107&sll=50.889174,10.546875&sspn=11.859882,34.453125&ie=UTF8&ll=52.525034,13.38757&spn=0.011162,0.033646&z=16|Haus 6, Philippstr. 13]] ||

Further Information on the web page of the [[http://www.bccn-berlin.de/Graduate+Programs/Courses+and+Modules/Acquisition_and_Analysis_of_Neural_Data/?contentId=2050|BCCN-B]].


=== Topics ===

This part of the module "Acquisition and Analysis of Neural Data" of the [[http://www.bccn-berlin.de/Graduate+Programs/Master_Program/|Master Program in Computational Neuroscience]] provides knowledge on statistical analyses of neural data: 
   * ''Part 1:'' Analysis of Spike Trains (Introduction to Linear Systems Theory, Introduction to Point Process Theory, Autoregressive Models for Neural Spike Trains, Correlation Analysis of Neural Spike Trains) 
     [[http://itb.biologie.hu-berlin.de/~kempter/Teaching/2009_SS/index.html|details on part 1]]
   * ''Part 2:'' Statistical analysis of electroencephalogram (EEG) data, e.g., investigation of event-related potentials (ERPs) and event-related desynchronization (ERD); spatial filters; classification, adaptive classifiers. 

=== Requirements ===

Requirements: Basic knowledge in Neurobiology and Mathematics at the level of the first year of the Masters Program in Computational Neuroscience. 

To obtain course certificates, at least 75% of the lectures (2 ECTS) must be attended, and at least 75% of the points in the exercises (5 ECTS) must be obtained. 

=== Material ===

   * Lecture #07: [[http://ml.cs.tu-berlin.de/~blanker/SS09_AnalysisOfNeuronalData/aaaond09_lecture07.pdf|Script]] | [[http://ml.cs.tu-berlin.de/~blanker/SS09_AnalysisOfNeuronalData/aaaond09_sheet07.pdf|Sheet]]; [[http://ml.cs.tu-berlin.de/~blanker/SS09_AnalysisOfNeuronalData/aaaond09_sheet07_appendix.pdf|Appendix]] | [[http://ml.cs.tu-berlin.de/~blanker/SS09_AnalysisOfNeuronalData/aaaond09_sheet07_material.zip|Material]]
   * Lecture #08: [[http://ml.cs.tu-berlin.de/~blanker/SS09_AnalysisOfNeuronalData/aaaond09_lecture08.pdf|Script]] | [[http://ml.cs.tu-berlin.de/~blanker/SS09_AnalysisOfNeuronalData/aaaond09_sheet08.pdf|Sheet]] | [[http://ml.cs.tu-berlin.de/~blanker/SS09_AnalysisOfNeuronalData/aaaond09_sheet08_material.zip|Material]]
   * Lecture #09: [[http://ml.cs.tu-berlin.de/~blanker/SS09_AnalysisOfNeuronalData/aaaond09_lecture09.pdf|Script]] | [[http://ml.cs.tu-berlin.de/~blanker/SS09_AnalysisOfNeuronalData/aaaond09_sheet09.pdf|Sheet]] | [[http://ml.cs.tu-berlin.de/~blanker/SS09_AnalysisOfNeuronalData/aaaond09_sheet09_material.zip|Material]]
   * Lecture #10: [[http://ml.cs.tu-berlin.de/~blanker/SS09_AnalysisOfNeuronalData/aaaond09_lecture10.pdf|Script]] | [[http://ml.cs.tu-berlin.de/~blanker/SS09_AnalysisOfNeuronalData/aaaond09_sheet10.pdf|Sheet]] | [[http://ml.cs.tu-berlin.de/~blanker/SS09_AnalysisOfNeuronalData/imagVPaw.mat|Material]] [[http://ml.cs.tu-berlin.de/~blanker/SS09_AnalysisOfNeuronalData/imagVPaw_csp.mat|helper-ex2]]
 * Lecture #11: [[attachment:aaaond09_lecture11.pdf|Script]] | [[attachment:aaaond09_sheet11.pdf|Sheet]] | [[attachment:features_lecture_adaptiveBCI.mat|Material]]
=== Background material ===
==== Part 1 (spike trains) ====
   * P. Dayan and L.F. Abbott (2001) Theoretical Neuroscience. MIT Press, Cambridge, Massachusetts. [[http://neurotheory.columbia.edu/~larry/book/|Online]] 

==== Part 2 (EEG) ====
   * Dornhege G, Millán J del R, Hinterberger T, !McFarland DJ, Müller KR, editors. Toward Brain-Computer Interfacing. MIT Press, Cambridge, MA, 2007.
   * Pfurtscheller G, Lopes da Silva FH. Event-related EEG/MEG synchronization and desynchronization: basic principles. Clin Neurophysiol, 110(11):1842-1857, Nov 1999. [[http://ml.cs.tu-berlin.de/bbci/papers/PfuSil99.pdf|pdf]]
   * Key AP, Dove GO, Maguire MJ. Linking brainwaves to the brain: an ERP primer. Dev Neuropsychol. 2005;27(2):183-215.
   * Wolpaw JR, Birbaumer N, !McFarland DJ, Pfurtscheller G, Vaughan TM. Brain-computer interfaces for communication and control. Clin. Neurophysiol., 113:767-791, 2002. [[http://ml.cs.tu-berlin.de/bbci/papers/WolBirFarPfuVau02.pdf|pdf]]
   * Parra LC, Spence CD, Gerson AD, Sajda P. Recipes for the linear analysis of EEG. !NeuroImage, 28(2):326-341, 2005. [[http://ml.cs.tu-berlin.de/bbci/papers/ParSpeGerSaj05.pdf|pdf]]
   * Blankertz B, Tomioka R, Lemm S, Kawanabe M, Müller KR. Optimizing spatial filters for robust EEG single-trial analysis. IEEE Signal Proc Magazine, 25(1):41-56, 2008. [[http://ida.first.fhg.de/publications/BlaTomLemKawMue08.pdf|pdf]]