Some of our best members will part to the MNE-Python coding sprint in New York next week:
https://kingjr.github.io/supervised_time_series
Go go team !
Some of our best members will part to the MNE-Python coding sprint in New York next week:
https://kingjr.github.io/supervised_time_series
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
research.
Bertrand takes part to the table ronde “Big data & health” on January 28th at La Cité des Sciences, Paris.
http://www.cite-sciences.fr/fr/au-programme/lieux-ressources/cite-de-la-sante/au-programme/cycle-idees-sante/journee-nationale-de-linnovation-en-sante-2017/
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.
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:
Congratulations !
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 !
Find it here: http://ercim-news.ercim.eu/en108. See in particular Convolutional Network Layers Map the Function of the Human Visual Cortex and Subsampling Enables Fast Factorisation of Huge Matrices into Sparse Signals.
Enjoy the reading !
www.psych.mpg.de/2219362/Multivariate_WS_Agenda.pdf
Great opportunity to discuss multivariate statistical analysis and its relationship to brain imaging genetics, and prediction of behavior.