Do you know what experimental psychology, cognitive neuroimaging, and machine learning have in common? They need to probe biological and/or artificial agents with appropriate stimuli to gather insights on how tasks and scenarios are represented and processed. Thus empirical efforts in all three fields greatly benefit from large databases of stimuli controlled for key variables (e.g., psycholinguistic features) yet ecologically valid (i.e., similar enough to those encountered …

Hello, I am François Paugam, a PhD student and the one in charge of the special effects for the great videos we made for the CNeuromod month, our online progress report events. If you missed it, or if you are just curious to see what we are doing in the numerous and diverse branches of the CNeuromod project, or if you enjoyed the presentations so much that you want to watch them over and over, you can access them on our youtube channel.

Have a good time watching them, I hope …

Hi! I am Julie - Project manager for the Courtois Neuromod project and I am very happy to be able to announce the launch of our first ever CNeuromod month! A totally virtual event during which members of the CNeuromod team and collaborators get to share with the rest of the team, and the community at large, their progress in the past year!

Every week we will present a series of 3 or 4 talks dealing with one of the CNeuromod objectives. Talks are all pre-recorded but …

Hi! I’m Valentina, the latest recruit of CNeuroMod and thus clearly the right person to introduce you to this talented herd of nerds.

One of the strengths of NeuroMod is undoubtedly the multidisciplinary nature of its team. Computer scientists, engineers, neuroscientists: anyone can have fun with us! There is a Core, leading us and providing the vision, but the action is very distributed, with crews focusing on MRI and MEG data acquisition, Modeling or Computing. …

Concretely, this means that a whole pipeline for data production is in place, and that the team is now running analyses on CNeuroMod data for the first time. This post goes through the main steps of the “data release” pipeline, and explains which tools we chose for completing those steps. Huge props to all the people who have helped build these fantastic tools, and in particular Michael Hanke and the studyforest team, which have been a huge inspiration. This is …