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Irene Yujnovsky
Apr 5, 2017, 5:26:08 AM4/5/17
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The Virtual Brain
(TVB) Node 5
Workshop format: lectures and hands-on tutorials. Participants are encouraged to bring their own data to work on.
Workshop program overview:
- Theoretical background of large scale brain network modeling
- Architecture of The Virtual Brain (TVB)
- Interacting with TVB using GUI and Python interface
- Preprocessing neuroimaging data, or how to obtain a TVB dataset
- Fitting the brain model parameters to the functional data
- Modeling resting state network dynamics in fMRI
- Modeling stroke and recovery
- Modeling epilepsy and surgical interventions
- Modifying TVB code and implementing new features
- Bring your own data hands-on sessions: preprocessing and simulations
Further information and the registration form are at: http://www.thevirtualbrain.org/tvb/zwei/newswire-event-single/151386-workshop-tvb-node-5
Registration will be closed on April 20th.
With any questions please contact Viktor Sip (vikto...@univ-amu.fr).
2-day Training Workshop in Marseille,
France, on May 15-16, 2017
We would like to invite interested students and
researchers to the upcoming The Virtual Brain
Node 5 workshop, Marseille, France, 15th - 16th May
2017.
The workshop is dedicated to a theoretical and hands-on understanding of large-scale brain network modeling using the open source neuroinformatics platform The Virtual Brain (TVB). For the first time this workshop will be held over 2 days and will go more in depth regarding the hands-on modeling sessions along explicit use cases from resting state studies and clinical applications to epilepsy and stroke. Also for the first time we will offer in-depth training of fitting virtual brain models to human imaging data.
The workshop is dedicated to a theoretical and hands-on understanding of large-scale brain network modeling using the open source neuroinformatics platform The Virtual Brain (TVB). For the first time this workshop will be held over 2 days and will go more in depth regarding the hands-on modeling sessions along explicit use cases from resting state studies and clinical applications to epilepsy and stroke. Also for the first time we will offer in-depth training of fitting virtual brain models to human imaging data.
The Virtual Brain simulation environment enables
the biologically realistic modeling of network dynamics using
connectome-based approaches across different brain scales.
Personalized brain network models can be derived from an
individual’s MRI data. Configurable brain network models
generate macroscopic neuroimaging signals including functional
MRI, intracranial and stereotactic EEG, surface EEG and MEG
for single subjects. TVB researchers from different
backgrounds can benefit from an integrative software platform
including a supporting framework for data management
(generation, organization, storage, integration and sharing)
and a simulation core written in Python.
Workshop format: lectures and hands-on tutorials. Participants are encouraged to bring their own data to work on.
Workshop program overview:
- Theoretical background of large scale brain network modeling
- Architecture of The Virtual Brain (TVB)
- Interacting with TVB using GUI and Python interface
- Preprocessing neuroimaging data, or how to obtain a TVB dataset
- Fitting the brain model parameters to the functional data
- Modeling resting state network dynamics in fMRI
- Modeling stroke and recovery
- Modeling epilepsy and surgical interventions
- Modifying TVB code and implementing new features
- Bring your own data hands-on sessions: preprocessing and simulations
Further information and the registration form are at: http://www.thevirtualbrain.org/tvb/zwei/newswire-event-single/151386-workshop-tvb-node-5
Registration will be closed on April 20th.
With any questions please contact Viktor Sip (vikto...@univ-amu.fr).
-- --------------------------------------------------- Irene Yujnovsky, PhD Chef de projet EPINEXT Institut de Neurosciences des Systèmes Inserm UMR1106 Université Aix-Marseille Faculté de Médecine, 27, Boulevard Jean Moulin 13005 Marseille, France Phone: +33 (0)491324239 email: irene.y...@univ-amu.fr Website: http://epinext.org/
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