Workshop on Brain Dynamics 2022
http://cobra.cs.cas.cz/BD_2022

Organized by the Czech Academy of Sciences
Institute of Computer Science
Cobra group
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22. - 23. December 2022
ICS, CAS CZ, Pod Vodárenskou věží 271/2, Prague

Final Program

Thursday 22.12.2022

Time
Program
Affiliation
Title
14:00-14:15
Opening
14:15-14:45
Jaroslav Hlinka
Czech Acad. Sci., Prague/NIMH
On complex explanations for complex brain network dynamics
14:45-15:15
Jiří Hammer
Charles University
Neural dynamics underlying cognitive functions in epilepsy patients with intracerebral electrodes
15:15-15:45
Helmut Schmidt
Czech Acad. Sci., Prague
Mean field modelling of brain in health and disease
Coffee Break
16:15-16:45
Pavel Sanda
Czech Acad. Sci., Prague
Neuromodulation of resting state networks
16.45-17:15
Filip Spaniel
NIMH/Charles University
Predicting outcome in first episode psychosis
17:15-17:45
Coffee Break
17:45-18:30
Daniel Margulies
Université de Paris/CNRS
Cortical Gradients of Functional Integration
18:30-
Discussion
20:00
Dinner (restaurant)

Wednesday 23.12.2022

Time
Program
Affiliation
Title
9:00-9:30
Coffee morning
9:30-10:00
Marek Piorecky
NIMH
Acoustic stimulation phase locked to slow oscillations
10:00-10:30
Nikola Jajcay
Czech Acad. Sci., Prague/NIMH
Thalamo-cortical modelling: sleep spindles, slow oscillations, & their interaction
10:30-11:00
Coffee Break
11:00-11:30
Jaroslav Hlinka
Czech Acad. Sci., Prague/NIMH
Perturbations both trigger and delay seizures due to generic properties of slow-fast relaxation oscillators
11:30-12:00
Anna Pidnebesna
Czech Acad. Sci., Prague/NIMH
Tackling the challenges of group network inference from intracranial EEG data
12.00-12:30
Vlastimil Koudelka
NIMH
Validating Introspection by combined EEG/fMRI
12:30-14:00
Lunch
15:00
Discussions
15:00-15:10
Final remarks
15:10
Meeting closed

The Venue

(1)
Main Venue - meeting takes place at the Institute of Computer Science, Czech Academy of Sciences, room 318. Address: Pod Vodárenskou věží 271/2, 182 07, Praha 8. (Google map, Walking map from Ladvi station at underground, line C). For those, who can not physically attend, there is also option to join the meeting on zoom (ask privately for link and password).
(2)
Dinner (Thu) - Cafe Louvre (www.cafelouvre.cz), Národní 22, Praha

Travel informationCzech Acad. Sci., Prague

The public transport is recommended. It is quite reliable and safe, with the following prices (EUR 1,- = cca. CZK 25,-):
You can buy tickets in slot machines in the underground stations, in most newsstands, specialized public transport shops, Prague transport information centers at the airport and main railway station. You can use this link for searching public transport connections: spojeni.dpp.cz. The closest underground stations to the main Venue is “Ládví” (red(C) line).
By plane
The comprehensive info how to travel from/to Václav Havel Airport (“Letiště Václava Havla”) can be found at www.prg.aero/en/transport-airport. You can either take an airport taxi (it should cost about CZK 600,-) or use public transport, which is way cheaper (and safe as well): take the bus line 119, direction Nádraží Veleslavín (“Veleslavín train station”) and change there to the underground green line A (direction Depo Hostivař), geting off at the station Můstek will bring you close to the main venue. The journey takes ca. 30–45 minutes in total. From the airport to main railway station in downtown you can also use non-stop AE (airport express) bus with special fare CZK 60,- (common tickets are not valid on this bus).
By train
All the long-distance trains arrive to the main railway station (“Hlavní nádraží”), where you can find underground station connecting you with the rest of public transport system as well.

Local organizers

Jaroslav Hlinka (hlinka@cs.cas.cz), Magda Pokorna (pokorna@cs.cas.cz), Pavel Sanda (sanda@cs.cas.cz).
Institute of Computer Science of the Czech Academy of Sciences, Pod Vodarenskou vezi 2 Prague 8, 182 07, Czech Republic
Web: http://cobra.cs.cas.cz

Funding

Supported by the Czech Academy of Sciences through Strategy AV21 by the program Breakthrough Technologies for the Future.
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