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, www.g-node.org.

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

Alex Loebel (Ludwig-Maximilians-Universität Munich)

Introductory reading:

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

Martin Nawrot (Freie Universität Berlin)

Introductory reading:

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

Sonja Grün (RIKEN BSI)

Introductory reading:

Module IV : Analysis of phase relation of spikes to LFP

Michael Denker (RIKEN BSI)

Introductory reading: