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|| <|2> '''Dates and Rooms:''' || Lecture: Fridays from 10:00 to 11:30 am in the lecture hall 102 || ||<(|2> '''Dates and Rooms:''' || Lecture: Fridays from 10:00 to 11:30 am in the lecture hall 102 ||
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|| '''Lecturers (part 1):''' || [[http://itb.biologie.hu-berlin.de/~kempter/|Richard Kempter]] ||
|| '''Lecturers (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]] ||		 ||<(|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]] ||
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   * (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)    * ''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)
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   * (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.    * ''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.
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=== Material ===

Lecture #07: [[http://ml.cs.tu-berlin.de/~blanker/SS09_AnalysisOfNeuronalData/aaaond09_lecture7.pdf|Script]] | [[http://ml.cs.tu-berlin.de/~blanker/SS09_AnalysisOfNeuronalData/aaaond09_sheet7.pdf|Sheet]] | [[http://ml.cs.tu-berlin.de/~blanker/SS09_AnalysisOfNeuronalData/aaaond09_sheet7_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]]
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   * P. Dayan and L.F. Abbott (2001) [[http://neurotheory.columbia.edu/~larry/book/|Theoretical Neuroscience]]. MIT Press, Cambridge, Massachusetts.    * P. Dayan and L.F. Abbott (2001) Theoretical Neuroscience. MIT Press, Cambridge, Massachusetts. [[http://neurotheory.columbia.edu/~larry/book/|Online]]
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   *    * 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]]

Acquisition and Analysis of Neuronal Data

Integrated lecture and tutorials

Dates, Lecturers, and Location

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

Lecturers:

Part 1: Richard Kempter

Part 2: Benjamin Blankertz, Carmen Vidaurre

Location:

Bernstein Center for Computational Neurosciences Berlin, Haus 6, Philippstr. 13

Further Information on the web page of the BCCN-B.

Topics

This part of the module "Acquisition and Analysis of Neural Data" of the 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)

  • 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: Script | Sheet | Appendix | Material Lecture #08: Script | Sheet | Material

Background material

Part 1 (spike trains)

  • P. Dayan and L.F. Abbott (2001) Theoretical Neuroscience. MIT Press, Cambridge, Massachusetts. 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. 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. pdf

  • Parra LC, Spence CD, Gerson AD, Sajda P. Recipes for the linear analysis of EEG. NeuroImage, 28(2):326-341, 2005. 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. pdf

IDA Wiki: Main/SS09_AnalysisOfNeuronalData (last edited 2010-05-28 10:02:17 by BenjaminBlankertz)