== Integrated lecture and tutorials ''Acquisition and Analysis of Neuronal Data'' ==

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

|| '''Module''' || Part of the [[http://www.bccn-berlin.de/Graduiertenprogramm/Masterprogramm/|Master Program Computation Neuroscience]]; [[https://www.bccn-berlin.de/digitalAssets/0/596_2CNS_Catalogue_20130325.pdf|BCCN Modulkatalog]] ||
||<(|2> '''Dates and Rooms:''' || Lecture: Fridays from 09:15 to 10:45 in the lecture hall 102 (Haus 6) ||
|| Tutorials: Fridays from 11:00 (st!) to 12:30 in the computer pool of Haus 2 ||
||<(|2> '''Lecturers:''' || ''Part 1:'' [[http://itb.biologie.hu-berlin.de/~kempter/|Richard Kempter]] ||
|| ''Part 2:'' [[http://user.cs.tu-berlin.de/~blanker/|Benjamin Blankertz]] ||
|| '''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 (lecture) and Haus 2 (tutorials), Philippstr. 13]] ||
|| '''TU University calendar:''' || [[http://lsf.tubit.tu-berlin.de/qisserver/servlet/de.his.servlet.RequestDispatcherServlet?state=verpublish&status=init&vmfile=no&publishid=194925&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung|LSF entry]] ||

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 (spike statistics, neural coding, theory of point processes, linear systems theory, correlation analysis, spike-triggered average, reverse correlation, STRF, neural decoding, signal detection theory, infomation theory, signal-to-noise ratio analysis) - see [[https://itb.biologie.hu-berlin.de/~kempter/Teaching/2018-SS-AAND/index.html|here]] for details on the first part.
   * ''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. 

Required background knowledge: Basic knowledge in Neurobiology and Mathematics at the level of the first year of the Master Program in Computational Neuroscience. 

=== Course Certificates ===

To obtain course certificates, at least 75% of the points in the exercises (5 ECTS) must be attained. 

To obtain the full 5 ECTS for the tutorial, every student has to complete an additional small project (2 ECTS).
The tasks of the projects will be distributed at the end of the course. Solutions are to be submitted until two weeks before the oral exam.

The final oral exam of the module "Acquisition and Analysis of Neuronal Data will take place in fall 2018.

=== Material ===

Slides of the lecture will be provided at the moodle page during the course.

=== Background material for Part 2 (BCI) ===

   * Blankertz B, Lemm S, Treder MS, Haufe S, Müller KR. ''Single-trial analysis and classification of ERP components - a tutorial''. !NeuroImage, 56:814-825, 2011. [[http://ml.cs.tu-berlin.de/publications/BlaLemTreHauMue10.pdf|pdf]] [[http://dx.doi.org/10.1016/j.neuroimage.2010.06.048|url]]
   * 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://ml.cs.tu-berlin.de/publications/BlaTomLemKawMue08.pdf|pdf]] [[http://dx.doi.org/10.1109/MSP.2008.4408441|url]]
   * Treder MS, Blankertz B, ''(C)overt attention and visual speller design in an ERP-based brain-computer interface''. Behav Brain Funct, 6:28, 2010. [[http://www.behavioralandbrainfunctions.com/content/6/1/28|url]]
   * Parra LC, Spence CD, Gerson AD, Sajda P. ''Recipes for the linear analysis of EEG''. !NeuroImage, 28(2):326-341, 2005. [[http://doc.ml.tu-berlin.de/bbci/references/ParSpeGerSaj05.pdf|pdf]]
   * Parra LC, Christoforou C, Gerson AD, Dyrholm M, Luo A, Wagner M, Philastides M, Sajda P. ''Spatiotemporal Linear Decoding of Brain State''. IEEE Signal Proc Magazine, 25(1): 107-115, 2008. [[http://doc.ml.tu-berlin.de/bbci/references/ParChrGerDyrLuoWagPhiSaj08.pdf|pdf]]
   * Haufe S, Meinecke F, Görgen K, Dähne S, Haynes J, Blankertz B, Biessmann F, ''On the interpretation of weight vectors of linear models in multivariate neuroimaging''. !NeuroImage, 87:96-110, 2014 [[http://dx.doi.org/10.1016/j.neuroimage.2013.10.067|url]]
   * Key AP, Dove GO, Maguire MJ. ''Linking brainwaves to the brain: an ERP primer''. Dev Neuropsychol. 2005;27(2):183-215. [[http://doc.ml.tu-berlin.de/bbci/references/KeyDovMag05.pdf|pdf]]
   * 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]]
   * 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]]
   * Dornhege G, Millán J del R, Hinterberger T, !McFarland DJ, Müller KR, editors. ''Toward Brain-Computer Interfacing''. MIT Press, Cambridge, MA, 2007.
   * Wolpaw JR, Wolpaw EW, editors. ''Brain-Computer Interfaces: Principles and Practice''. Oxford University Press, 2012. ISBN-13: 978-0195388855.