[BIC-announce] PERFORM Colloquium, Dec 20: Multifractal Analysis of Neural Activity (MEG) Reveals Convergence to an Optimal Regime in Cortex that Predicts Learning
Christophe Grova
christophe.grova at mcgill.ca
Mon Dec 11 08:55:06 EST 2017
See below an interesting talk organized on our side of the city at PERFORM center, a good occasion to come to visit us just before the holiday break !
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From: performcentre at concordia.ca <performcentre at concordia.ca> on behalf of PERFORM Centre <performcentre at concordia.ca>
Sent: Thursday, December 7, 2017 12:01 PM
To: Christophe Grova, Dr.
Subject: PERFORM Colloquium, Dec 20: Multifractal Analysis of Neural Activity (MEG) Reveals Convergence to an Optimal Regime in Cortex that Predicts Learning
Mesoscopic brain activity recorded using magnetoencephalography (MEG) is usually analyzed through oscillatory regimes in different frequency bands (α,β,γ...). Brain activity also....
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PERFORM Colloquium Series
You are kindly invited to join us for the next PERFORM Colloquium.
[Philippe Ciuciu, PhD]<https://perform.concordia.ca/email/forward.asp?url=www.concordia.ca/cuevents/offices/vprgs/perform/2017/12/20/multifractal-analysis-of-neural-activity.html&eml=310&sub=GHEF&list=A&id=4462&ref=Colloquiumemail>
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Multifractal Analysis of Neural Activity (MEG) Reveals Convergence to an Optimal Regime in Cortex that Predicts Learning
Mesoscopic brain activity recorded using magnetoencephalography (MEG) is usually analyzed through oscillatory regimes in different frequency bands (α,β,γ...). Brain activity also comprises arrhythmic or scale-free dynamics (1/f power spectrum) whose characterization is usually quantified by a single parameter (e.g., Hurst exponent) which reflects the long range temporal autocorrelation or self-similarity. Here, we propose to enrich this description with multifractality that measures transient oscillating temporal structures...
More information<https://perform.concordia.ca/email/forward.asp?url=www.concordia.ca/cuevents/offices/vprgs/perform/2017/12/20/multifractal-analysis-of-neural-activity.html&eml=310&sub=GHEF&list=A&id=4462&ref=Colloquiumemail>
Wednesday, December 20, 2017
16:00 - 17:00
PERFORM Centre<https://perform.concordia.ca/email/forward.asp?target=performmap&eml=310&sub=GHEF&list=A&id=4462&ref=Colloquiumemail>
7200 Sherbrooke St W. PERFORM Centre, Room PC 2.115
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Presented by:
Philippe Ciuciu, PhD,
Senior Research Scientist,
French Atomic Energy Commission (CEA)
Everyone is welcome. This event is free of charge. No registration required.
The complete colloquium schedule is on our web site<https://perform.concordia.ca/email/forward.asp?target=colloquium&eml=310&sub=GHEF&list=A&id=4462&ref=Colloquiumemail>. For more information contact Wendy Kunin:
wendy.kunin at concordia.ca<mailto:wendy.kunin at concordia.ca?subject=Re:%20PERFORM%20Colloquium,%20Dec%2020:%20Multifractal%20Analysis%20of%20Neural%20Activity%20(MEG)%20Reveals%20Convergence%20to%20an%20Optimal%20Regime%20in%20Cortex%20that%20Predicts%20Learning>
(514) 848-2424 ext.5295<tel:15148482424,,5295>
PERFORM Centre<https://perform.concordia.ca/email/forward.asp?target=performurl&eml=310&sub=GHEF&list=A&id=4462&ref=Colloquiumemail>
Thank you,
The PERFORM Centre
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