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Seminar by Enrico Glerean - Shared screen with speaker view
Enrico Glerean
48:29
Link to the slides https://eglerean.github.io/files/Glerean_Naturalistic_Methods_PDF.pdf
Anna Shestakova
01:04:12
yes
Ksenia
01:04:16
yes
Beatriz Martín Luengo
01:04:20
yes
tommaso fedele
01:04:20
no
Egor Levchenko
01:04:23
yes
Artyom Zinchenko
01:04:24
Yes
Maria Nazarova
01:04:25
yes
Nastya Paltarzhytskaya
01:04:25
no
Pavel Akimov
01:04:32
yep
sophie
01:04:32
yes somehow
Oleg Li
01:04:33
yes
ijaaske
01:04:33
yes
Elena Strelkina
01:04:51
no
Pavel Akimov
01:15:30
nope
Anna Shestakova
01:15:30
no
Victoria Moiseeva
01:15:31
no
Ksenia
01:15:33
no
Nastya Paltarzhytskaya
01:15:33
no
Maria Nazarova
01:15:33
no
Beatriz Martín Luengo
01:15:34
never heard
sophie
01:15:36
no
Юлия
01:15:38
no
Elena Rybina
01:15:38
no
Anna Shestakova
01:19:46
yes
Pavel Akimov
01:19:49
no
Artyom Zinchenko
01:19:50
no
Beatriz Martín Luengo
01:19:51
no much
Victoria Moiseeva
01:19:55
no
Юлия
01:19:55
no
Oleg Li
01:19:56
no
Matteo Feurra
01:20:06
no
Enrico Glerean
01:20:12
https://eglerean.github.io/files/Glerean_Naturalistic_Methods_PDF.pdf
sophie
01:21:12
Do I get it right that extrinsic connectivity (when separating from intrincis) corresponds to the largest common sub-graph across all individual connectivity graphs?
Vasily Klucharev
01:24:45
Where the cycles in the dynamic ISC come from?
sophie
01:30:41
Is there an existing extention of these approaches to account for directionality/causality between brain areas?
tommaso fedele
01:37:21
it has been shown that EEG/MEG signal is correlated to fMRI signal. This correlation is positive (excitatory) for high frequency, and negative (inhibitory) for alpha-beta range. Do you think that this approach could shed light to the distinction of excitatory and inhibitory connections?
Enrico Glerean
01:38:09
Mac Shine
tommaso fedele
01:38:49
do you mean power correlation?
tommaso fedele
01:38:52
for MEG?
tommaso fedele
01:39:14
thanks a lot, very nice talk!
Egor Levchenko
01:39:19
Sometimes in the research we use the same movie for training and testing our ISC model, but as we know it can lead to overfitting - how do you think is it a bog problem for such methods?
Egor Levchenko
01:39:42
big*
Egor Levchenko
01:44:04
Thank you!
Enrico Glerean
01:44:11
Slides again https://eglerean.github.io/files/Glerean_Naturalistic_Methods_PDF.pdf
Artyom Zinchenko
01:44:12
Thank you very much for the great talk!
Elena Rybina
01:44:23
Than you a lot for this talk!
Ksenia
01:44:24
thanks a lot!
Pavel Akimov
01:44:27
Thank you, Enrico! Extremely helpful!
ianni
01:44:29
thank you!
Anastasia Galkina
01:44:32
Thank you!
Maria Nazarova
01:44:37
thanks!!
Elena Terekhova
01:44:50
Thank you