Zurich 2016 SPM Course for fMRI
Thank you all for a wonderful 10th Zurich SPM course! The talks and tutorials offered during the course can be accessed here.
BOLD Physiology (Jakob Heinzle) Pre-processing (Lars Kasper) The General Linear Model for fMRI analyses & Tutorial (Frederike Petzschner) Statistical inference and design efficiency (Andreea Diaconescu)
Multiple comparison correction in SPMs (Justin Chumbley) Experimental design (Sandra Iglesias) Event-related fMRI (Christian Ruff) “Resting state” fMRI . . . → Read More: SPM Course 2016
11-14 February, 2014
An IBT Advanced Imaging Course
This four-day course, held annually since 2007, offers comprehensive coverage of all MRI-related aspects of SPM, including . . . → Read More: SPM Course 2014
Here are links to the presentation slides for the SPM Course 2013 (in PDF or Powerpoint format). . . . → Read More: SPM Course 2013 – Presentation Slides
Kandel, Schwartz, Jessell. Principles of Neural Science. McGraw Hill. Parts I – IV. [cell and molecular biology of the neuron, synaptic transmission, neural basis of cognition] Bear, Connors, Paradiso. Neuroscience. Exploring the Brain. LWW.
Bühlmann, P. Computational Statistics. ETH lectures. Website / Script [introduction to classical multiple linear regression, hypothesis tests, nonparametric regression, classification, shrinkage]
Bayesian statistics and machine learning
Bishop, C. M. (2007). Pattern Recognition and Machine Learning. Springer. Chapters 1-4. [Bayesian linear regression and classification] Barber, D. (2012). Bayesian Reasoning and Machine Learning. Cambridge University Press.
Bayesian models of neural information processing
Kenji Doya (Editor), . . . → Read More: Reading list
13-15 February, 2013
An IBT Advanced Imaging Course All lectures take place at the main University building (lecture hall KO2-F-180), whereas the practical sessions take place at the Gymnasium Rämibühl (Rämistrasse 58, 8001 Zurich) . . . → Read More: SPM Course 2013