Course Format and Course Modules

This 2nd G-Node Course on Neural Data Analysis comprises four course modules, one module for each day. Each module treats a specific topic that will be presented by one faculty member. Each module comprises an introductory lecture plus a total of six hours of practical course work. All students are required to prepare in advance on the basis of the introductory reading list. Individual course modules and supplement material will be publically available on the website of the G-Node,

Module I : Quantification of short-term synaptic plasticity, and applications

Alex Loebel (Ludwig-Maximilians-Universität Munich)

Introductory reading:

  • Markram H, Wang Y, Tsodyks M (1998) Differential signaling via the same axon of neocortical pyramidal neurons. Proc Natl Acad Sci USA 95(9):5323-8
  • Tsodyks MV, Markram H (1997) The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability. Proc Natl Acad Sci 94(2):719-23. Erratum in: Proc Natl Acad Sci USA 1997 May 13;94(10):5495

Module II : Measurement of interval and count variability in neural spike trains

Martin Nawrot (Freie Universität Berlin)

Introductory reading:

  • Nawrot MP, Boucsein C, Rodriguez-Molina V, Riehle A, Aertsen A, Rotter S (2008) Measurement of variability dynamics in cortical spike trains. J Neurosci Meth 169: 374-390
  • Nawrot MP. Analysis and Interpretation of Interval and Count Variability in Neural Spike Trains. In: Analysis of parallel spike trains. Eds. S. Grün and S. Rotter, Springer Series in Computational Neuroscience (2010)

Module III : Analysis of spike correlation in multi-channel recordings

Sonja Grün (RIKEN BSI)

Introductory reading:

  • Grün S (2009) Data-driven significance estimation of precise spike correlation. J Neurophysiology, 101: 1126-1140 (review) link
  • Grün S, Diesmann M, Aertsen A. (2010) Unitary Event Analysis. In: Analysis of parallel spike trains. eds. Grün & Rotter. Springer Series in Computational Neuroscience (in press)link
  • Louis S, Borgelt C, Grün S (2010) Generation and selection of surrogate methods for correlation analysis. In: Analysis of parallel spike trains. Eds. S. Grün and S. Rotter, Springer Series in Computational Neuroscience (in press) link

Module IV : Analysis of phase relation of spikes to LFP

Michael Denker (RIKEN BSI)

Introductory reading:

  • Varela F; Lachaux JP; Rodriguez E & Martinerie J(2001) The brainweb: Phase synchronization and large-scale integration. Nat Rev Neurosci: 2, 229-239
  • Quyen MLV & Bragin A (2007) Analysis of dynamic brain oscillations: methodological advances. Trends Neurosci: 30, 365-373
  • Womelsdorf T; Schoffelen J-M; Oostenveld R; Singer W, Desimone R, Engel AK & Fries P (2007) Modulation of neuronal interactions through neuronal synchronization. Science: 316, 1609-1612
course_modules.txt · Last modified: 2010/03/02 10:46 by admin
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