HUGE_analysis_resting_state about tapas HOT 4 CLOSED

Thank you for the recommendation Yu. I’ll use that approach instead in that case. All the best, Kristian Sent from Mail<https://go.microsoft.com/fwlink/?LinkId=550986> for Windows 10 From: [TNU]Yu Yao<mailto:[email protected]> Sent: 14 April 2019 02:41 To: translationalneuromodeling/tapas<mailto:[email protected]> Cc: Kristian Stefanov<mailto:[email protected]>; Author<mailto:[email protected]> Subject: Re: [translationalneuromodeling/tapas] HUGE_analysis_resting_state (#56) Dear Kristian, while it should be (in theory) possible to extend the HUGE framework to include unconstrained cognition, we do not have concrete plans to pursue this line of research, at the moment. If you would like to perform unsupervised learning on resting-state data, my current recommendation is to try out the classical generative embedding framework as described in Brodersen et al. (2014) NeuroImage. I.e.: extract MAP estimates from your resting-state DCM and feed those into a regular Gaussian mixture model (for example, the one implemented in Matlab's machine learning toolbox). With very best wishes, Yu — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub<#56 (comment)>, or mute the thread<https://github.com/notifications/unsubscribe-auth/AtmoK6B6aJWdHB9zakqEY-fQLS3bmnzJks5vgodggaJpZM4cmqsJ>.