AATRN Networks seminar, Tuesday, December 3rd, at 5pm CET by Maxime Lucas
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AATRN Networks
Dec 2, 2024, 4:30:05 AM12/2/24
to AATRN Networks
Dear AATRN Networks members,
Our next online seminar will be Tuesday, December 3rd, at 5pm CET / 11am Eastern Time.
Speaker: Maxime Lucas
Title: Revealing patterns in brain activity with persistent homology
Abstract: The brain is a notoriously complex system and its activity can exhibit a wide range of complex dynamics. We will discuss how persistent homology can help discriminate and describe these dynamics and associated biological conditions that may induce them. In particular, we will talk about two cases: brain recordings (1) in human hypnosis experiments and (2) in epileptic fish. We first apply time-delay embedding to the time series to reconstruct the associated dynamical attractor, and then apply persistent homology. In both cases, persistent homology and topological indicators associated to it allow us to unveil how the brain dynamics is affected by biological factors (e.g. hypnotic susceptibility in the first case, or fishline and genetic mutation in the second). In turn, these topological indicators may have the potential to serve as markers for these biological factors and be useful to practitioners
We will meet in the following coordinates:
https://epfl.zoom.us/j/66322742056?pwd=VnlFcU9kWTlERG9pQTRjVVVOa29TZz09
Meeting ID: 663 2274 2056
Passcode: 712373
Our seminar occurs on the first Tuesday of every month, and you can follow our future planned list of speakers on our website sites.google.com/view/aatrn-networks-seminar.
You may also be interested in adding AATRN’s Google calendar (link), which contains other seminar information.
Best,
The AATRN Networks organizers
Daniela Egas Santander, Henri Riihimäki, Jason Smith
https://www.youtube.com/@aatrn1
Our next online seminar will be Tuesday, December 3rd, at 5pm CET / 11am Eastern Time.
Speaker: Maxime Lucas
Title: Revealing patterns in brain activity with persistent homology
Abstract: The brain is a notoriously complex system and its activity can exhibit a wide range of complex dynamics. We will discuss how persistent homology can help discriminate and describe these dynamics and associated biological conditions that may induce them. In particular, we will talk about two cases: brain recordings (1) in human hypnosis experiments and (2) in epileptic fish. We first apply time-delay embedding to the time series to reconstruct the associated dynamical attractor, and then apply persistent homology. In both cases, persistent homology and topological indicators associated to it allow us to unveil how the brain dynamics is affected by biological factors (e.g. hypnotic susceptibility in the first case, or fishline and genetic mutation in the second). In turn, these topological indicators may have the potential to serve as markers for these biological factors and be useful to practitioners
We will meet in the following coordinates:
https://epfl.zoom.us/j/66322742056?pwd=VnlFcU9kWTlERG9pQTRjVVVOa29TZz09
Meeting ID: 663 2274 2056
Passcode: 712373
Our seminar occurs on the first Tuesday of every month, and you can follow our future planned list of speakers on our website sites.google.com/view/aatrn-networks-seminar.
You may also be interested in adding AATRN’s Google calendar (link), which contains other seminar information.
Best,
The AATRN Networks organizers
Daniela Egas Santander, Henri Riihimäki, Jason Smith
https://www.youtube.com/@aatrn1
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