Everything you always wanted to know about Computational Neuroscience: let's discover Computational Neuroscience - what is it, what can we do with it?

A limited number of onsite registrations is available!

Organizer: Bernstein Center for Computational Neuroscience

Location: Bernstein Center for Computational Neuroscience Berlin, Philippstr. 13 Haus 6, 10115 Berlin, Lecture Hall 9
https://www.bccn-berlin.de/Home/Contact/How_to_reach/

Date: July 6, 2018

Description: First a general overview into the field will be given by Prof. Dr. Susanne Schreiber. After that we will offer more specific insights in several topics like EEG, imaging techniques, stochastic modelations, information theory, personalized computational modelling, neuronal oscillators. There will be plenty of time for questions and discussions.

The number of attendees is limited to 70.

Preliminary Program

9.00 – 9.45 Susanne Schreiber
(Bernstein Center for Computational Neuroscience Berlin, Humboldt-Universität zu Berlin)

What is Computational Neuroscience?
(http://itb.biologie.hu-berlin.de/~susanne/)
9.45 – 10.30 Petra Ritter
(Bernstein Center for Computational Neuroscience Berlin, Charité)

The Virtual Brain
(http://neurologie.charite.de/forschung/arbeitsgruppen/brainmodes_group_petra_ritter/)
10.30 – 11.00 Coffee break
11.00 – 11.45 Hanspeter Herzel / Bharath Ananthasubramaniam
(Bernstein Center for Computational Neuroscience Berlin, Charité)

Modeling Synchronization and Entrainment of Neuronal Oscillators
(https://itb.biologie.hu-berlin.de/wiki/groups/herzel/start)
11.45 – 12.30 John-Dylan Haynes
(Bernstein Center for Computational Neuroscience Berlin, Charité)
Decoding mental states from human brain activity
(https://sites.google.com/site/hayneslab/home)
12.30 – 13.30 Lunch Break
13.30 – 14.15 Viola Priesemann
(Max Planck Institute for Dynamics and Self-Organization Göttingen)

Information Theory in Neuroscience
(http://www.nld.ds.mpg.de/people/priesemann)
14.15 – 15.00 Benjamin Lindner
(Bernstein Center for Computational Neuroscience Berlin, Humboldt-Universität zu Berlin
)
Stochastic models of neural systems: spontaneous activity and information transmission
(http://people.physik.hu-berlin.de/~lindner/)
15.00 – 15.30 Coffee Break
15.30 – 16.15 Peter Jedlicka
(Goethe Universität Frankfurt)

Modeling Ion Concentrations and Synaptic Plasticity
(https://www.uni-frankfurt.de/58917526/ma_1)
16.15 – 18.00 Final discussion with all speakers and get-together