totally missed that!

Thank you! Very engaging talk. Will be reading your papers!

Great talk, thanks! May I ask what is your opinion on modeling the brain function still as a linear time-invariant system (at least locally)? Since the state-of-the-art work are still measuring controllability metrics based on the standard LTI modeling, e.g. Prof. Bassett's works in case you are familiar

Regarding the first part of the talk Jorge, two questions

(a) are any controllability metrics other than classical energy/L2 metrics tractable? and (b) can you actually compute the time-varying control actions you mentioned are optimal?

makes sense, thanks!

thanks for the talk! I have a simple question: are the subpopulations inhibited/recruitable fixed with respect to the network weights? i.e. given the matrix weights, is it possible to both recruit and inhibit the same sub population with different control inputs?

a second question: what if instead of considering excitable/inhibitory neurons we work at synapsids level?

Perfect, thanks!

Thank you Jorge!

Thank you so much!

thnk you!