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ECE DLS: Prof. Jorge Cortes "Understanding the Role of Network Structure in Controlling Complex Networks" - Shared screen with speaker view
Nafiseh Ghoroghchian
51:39
totally missed that!
Mireille Broucke
01:16:14
Thank you! Very engaging talk. Will be reading your papers!
Nafiseh Ghoroghchian
01:16:24
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
John Simpson-Porco
01:17:03
Regarding the first part of the talk Jorge, two questions
John Simpson-Porco
01:18:08
(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?
Nafiseh Ghoroghchian
01:19:33
makes sense, thanks!
Gianluca Villani
01:21:18
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?
Gianluca Villani
01:22:48
a second question: what if instead of considering excitable/inhibitory neurons we work at synapsids level?
Gianluca Villani
01:23:49
Perfect, thanks!
John Simpson-Porco
01:24:05
Thank you Jorge!
Manfredi Maggiore
01:24:12
Thank you so much!
Frank-Edward Nemeth
01:24:12
thnk you!