Some of our best members will part to the MNE-Python coding sprint in New York next week:
Go go team !
Gael will give a talk at the next Neurospin unsupervised decoding meeting on 21/02/2017 – 9h45-11h00, room 2032
Abstract: Recently, I have become convinced that cross-validation on a hundred or
less samples is not a reliable measure of predictive accuracy. In
addition, techniques generally used to estimate its error or test for
significant prediction are severely optimistic.
I would like to present you very simple evidence of this unreliability,
which it intrinsic to the sample sizes that we are working with. It is a
simple sampling-noise problem that cannot be alleviated without increasing
the number of samples.
I want to have a discussion about what this means for the field, and how
we should address this problem. I would like to invite critical thinking
about aspects of the practice that I might have overlooked and could make
it more robust.
I invite many people to come, so that we can convince ourselves of
whether or not there is a problem with the way we often work. Indeed, it
is troublesome for methods development as well as for neuroscience
Bertrand takes part to the table ronde “Big data & health” on January 28th at La Cité des Sciences, Paris.
A renewable (up to three years) post-doc project to chart the human brain at high resolution.
See more details here.
Aina successfully defended her PhD thesis in Grenoble on December 19th.
Link to Aina’s slides.
Link to Aina’s manuscript.
Congratulations, Dr Aina !
Andrés has successfully defended his PhD thesis “Ensembles of models in fMRI: stable learning in large-scale settings” on January 20th, in front of a committee comprising:
- Martin Lindquist
- Florent Krzakala
- Christophe Phillips
- Erwan le Pennec
- Bertrand Thirion
We have just released a first batch of >500 brain images on NeuroVault (http://neurovault.org/collections/2138/). These high-resolution images (1.5mm) represent activations of the 12 subjects of the IBC cohort for a first set of functional contrasts and are the first step toward a normative dataset that will be the basis of a brain atlas based on cognitive representations.
The title is “A big data approach towards functional brain mapping”. See you there !
Great opportunity to discuss multivariate statistical analysis and its relationship to brain imaging genetics, and prediction of behavior.