FENS Introductory Course Computational Neuroscience
"Let's discover Computational Neuroscience - what is it, what can we do with it?"
In the introductory course "Computational Neuroscience" we will give first a general overview into the field by Prof. Dr. Susanne Schreiber. After that we will offer more specific insights in several topics like EEG, imaging techniques, stochastic modelations, information theory, personalised computational modelling, neuronal oscillators. There will be plenty of time for questions and discussions.
Registration is necessary via FENS Forum. The course is already fully booked.
Program
9.00 – 10.00
What is Computational Neuroscience?
Susanne Schreiber ,Bernstein Center for Computational Neuroscience Berlin, Humboldt-Universität zu Berlin
9.00 – 11.00
The Virtual Brain
Petra Ritter,Bernstein Center for Computational Neuroscience Berlin, Charité Universitätsmedizin Berlin
11.00 – 11.30 Coffee break
11.30 – 12.30
Decoding mental states from human brain activity
John-Dylan Haynes,Bernstein Center for Computational Neuroscience Berlin, Charité Universitätsmedizin Berlin
12.30 – 13.30
Synchronization and Entrainment of Neuronal Oscillators
Bharath Ananthasubramaniam,Bernstein Center for Computational Neuroscience Berlin, Charité Universitätsmedizin Berlin,Modeling
13.30 – 14.30 Lunch Break
14.30 – 15.30
Theory in Neuroscience
Viola Priesemann,Max Planck Institute for Dynamics and Self-Organization Göttingen,Information
15.30 – 16.00 Coffee Break
16.00 – 17.00
Stochastic models of neural systems: spontaneous activity and information transmission
Benjamin Lindner,Bernstein Center for Computational Neuroscience Berlin, Humboldt-Universität zu Berlin
17.00 – 18.00
Modeling dendritic and synaptic plasticity including ionic plasticity
Peter Jedlicka,Justus-Liebig-University Gießen
Location: Humboldt-Universität zu Berlin, Bernstein Center for Computational Neuroscience Berlin, Philippstr. 13 Haus 6, 10115 Berlin, lecture hall