MfD will run every Wednesday 1-2pm in the FIL boardroom, with the exception of the 18th & 25th June, when many people will be away at & after HBM.

Below is a list of topics and the people who will be speaking on them. Remember that the aim is to make apparently (or actually!) complicated things easier to understand, and that your audience is your peers, not the experts. The experts are however happy to answer questions to help with the preparation of your talks. Start with Daniel and Will, and check out the Human Brain Function chapters on the web at HBF.

Various people have also indicated that it would be helpful if people highlight in their talks where there are differences between SPM99 and SPM2.

The list of topics, people and provisional dates is below. Dates can be adjusted later if issues require more coverage, or other things crop up. As before, if you feel that anything has been left out, let us know!

We look forward to seeing you there!

- Intro to matrix & linear algebra (Brigitte Lipschutz) - 28th May

Matrix multiplication, Inverses & rank deficiency, Orthogonality

- Intro to statistics (Sarah White & Sam Gilbert) - 4th June

Normal distribution and mean/sd, Sampling & population inference, This session covered t (matlab figure) and F (matlab figure) distributions and examples of inference. The examples were taken from 'Statistical reasoning in psychology and education', 3rd edition, Minium, King & Bear, 1993.

See this technical note to see how the distributions are derived and how they are related to each other.

- Correlation & regression (David Carmel) - 11th June

Correlation, (simple) regression, covariance, R and R2 & model fit

Check out David's tutorial (Correlation.doc).

- General linear model (Adam Smith) - 2nd July

Multiple regression, Shared variance, Normal GLM equation, Parameter estimates, Errors & residuals, Basis sets

Check out Adam's slides (GLM.ppt).

- Contrasts and inference (Sarah Blakemore & Fulvia Castelli) - 9th July

contrasts incl. parametric, t-tests/f-tests, factorial designs, interactions, conjunctions, first vs. second level & number of subjects

Check out Sarah's slides (FI_design.ppt).

- Image preprocessing & optimisation (Elliot Freeman) - 23rd July

Realignment, Slice timing, Normalisation & optimisation

Check out Elliot's slides (MFDtalk01.ppt).

- Spatial smoothing and multiple comparisons correction (Jon Simons) - 30th July

Gaussian field theory vs. Bonferroni & false discovery

See Matthew Brett's smoothing and random field theory tutorials.

Check out Jon's slides (Smooth_talk.ppt).

- Nonparametric methods (Iris Trinkler) - 6th August

What is a nonparametric test ? SnPM

Check out Iris's slides: (talk.doc), (overheads.doc), (figures.doc).

- Bayesian inference for beginners (Lucy Lee) - 13th August

See these probability theory pages for a start.

Here are Lucy's powerpoint slides.

- Contrasts and basis functions (Penny Lewis) - 1st October

Here are the powerpoint slides.

- Classical statistical language to SPM language translation course (Tania Singer & Pia Rothstein) - 7th October

Here are the powerpoint slides.

See also this technical note.

- Linear hierarchical models (Klaas Stephan) - 22 Oct

Covariance constraints, ReML, Hierarchical models. There are no overheads for this talk.

- Covariance components, autocorrelation and nonsphericity (Alexa Morcom) - 29 Oct

Here are Alexa's powerpoint slides.

- Introduction to functional integration & connectivity analysis (Christian, Evelyn) - 5 Nov

Here are Christian and Evelyn's powerpoint slides.

- Dynamic Causal Modelling (Raffael Kalisch) - 12 Nov

Here are Raffael's powerpoint slides.

- Dynamic Causal Modelling - the (un)practical side (Katya Wiech) - 19 Nov

Here are Katya's powerpoint slides.

- Optimising design & efficiency (Paul Bentley & Joel Winston) - 26 Nov

Here are Joel's powerpoint slides.

Here are Paul's powerpoint slides.