You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
The Virtual Brain: An open-source simulator for whole brain network modeling.
Simulating the human brain is the holy grail of neuroscience – offering a pioneering tool for understanding how our brain works and how to deal with its disorders like stroke, epilepsy or neurodegenerative diseases like Alzheimer’s or Parkinson’s.
While large-scale research initiatives simulate neurons and small brain regions at the cellular level on massively parallel hardware, they are still years away from clinical applications.
The Virtual Brain (TVB) takes a different approach and reduces complexity on the micro level to attain the macro organization: a TVB model of a patient's brain generates sufficiently accurate EEG, MEG, BOLD and SEEG signals by reducing the complexity millionfold through methods from statistical physics. The key is TVB’s hybrid approach of merging individual anatomy from brain imaging data with state-of-the-art mathematical modeling.
[1] New graphical widget(s) for JupyterLab
Description:
In the TVB (https://www.thevirtualbrain.org/) ecosystem there is a new code repository called tvb-widgets offering neat UI widgets for Jupyterlab environments. These widgets are compatible with TVB data formats and able to display these data in different forms: 2D, 3D.
The purpose of this project is to implement a new set of widgets, which would allow users to work in Jupyter Lab in 3D, with the connectivity matrices (nodes & edges), surfaces (cortical, subcortical, face), sensors and all data involved in a TVB simulation.
Necessary features for this widget: select from a drive the list of available datesets, load/unload a dataset, display connectivity matrix, 3D surface, connections, colours, animated timeseries, etc. Of course, these new widgets have to run in a Jupyterlab notebook as well. we have most of these already in the existent widgets, but we are looking into maybe new libraries to use, better performance, better usability - so a renovation of some of the existent features.
Finally, it would be great to have all the widgets linked into the tvb-ext-xircuits repository which is a Jupyterlab extension based on React JS. At the moment, only the PhasePlaneWidget is linked there, but the rest could be added in a similar manner.
Examples of TVB data formats can be found on Zenodo.
Check out our Jupyter notebooks to play with the widgets we have available so far.
Expected results: A set of classes , with at least one demo Jupyter notebook, and unit tests.
Description:
In the TVB (https://www.thevirtualbrain.org/) ecosystem there is a code repository called tvb-ext-xircuits offering a graphical way to define, configure and run simulation workflows.
The purpose of this project is to implement a new set of xircuits components, in particuar for running Parameter Space Explorations (so a range of simulations with little variation in 2-3 parameters).
Expected results: A set of new xircuits components , with at least one demo xircuits file.
reacted with thumbs up emoji reacted with thumbs down emoji reacted with laugh emoji reacted with hooray emoji reacted with confused emoji reacted with heart emoji reacted with rocket emoji reacted with eyes emoji
-
The Virtual Brain: An open-source simulator for whole brain network modeling.
Simulating the human brain is the holy grail of neuroscience – offering a pioneering tool for understanding how our brain works and how to deal with its disorders like stroke, epilepsy or neurodegenerative diseases like Alzheimer’s or Parkinson’s.
While large-scale research initiatives simulate neurons and small brain regions at the cellular level on massively parallel hardware, they are still years away from clinical applications.
The Virtual Brain (TVB) takes a different approach and reduces complexity on the micro level to attain the macro organization: a TVB model of a patient's brain generates sufficiently accurate EEG, MEG, BOLD and SEEG signals by reducing the complexity millionfold through methods from statistical physics. The key is TVB’s hybrid approach of merging individual anatomy from brain imaging data with state-of-the-art mathematical modeling.
[1] New graphical widget(s) for JupyterLab
Description:
In the TVB (https://www.thevirtualbrain.org/) ecosystem there is a new code repository called tvb-widgets offering neat UI widgets for Jupyterlab environments. These widgets are compatible with TVB data formats and able to display these data in different forms: 2D, 3D.
The purpose of this project is to implement a new set of widgets, which would allow users to work in Jupyter Lab in 3D, with the connectivity matrices (nodes & edges), surfaces (cortical, subcortical, face), sensors and all data involved in a TVB simulation.
Necessary features for this widget: select from a drive the list of available datesets, load/unload a dataset, display connectivity matrix, 3D surface, connections, colours, animated timeseries, etc. Of course, these new widgets have to run in a Jupyterlab notebook as well. we have most of these already in the existent widgets, but we are looking into maybe new libraries to use, better performance, better usability - so a renovation of some of the existent features.
Finally, it would be great to have all the widgets linked into the tvb-ext-xircuits repository which is a Jupyterlab extension based on React JS. At the moment, only the PhasePlaneWidget is linked there, but the rest could be added in a similar manner.
Examples of TVB data formats can be found on Zenodo.
Check out our Jupyter notebooks to play with the widgets we have available so far.
Expected results: A set of classes , with at least one demo Jupyter notebook, and unit tests.
Preferred Tech keywords: Python, IPywidgets, React JS, Jupyterlab, Jupyterlab extensions
Skills level: junior+, mid
Mentors: Lia Domide (lead), Romina Baila (backup)
[1] New components in tvb-ext-xircuits
Description:
In the TVB (https://www.thevirtualbrain.org/) ecosystem there is a code repository called tvb-ext-xircuits offering a graphical way to define, configure and run simulation workflows.
The purpose of this project is to implement a new set of xircuits components, in particuar for running Parameter Space Explorations (so a range of simulations with little variation in 2-3 parameters).
Expected results: A set of new xircuits components , with at least one demo xircuits file.
Preferred Tech keywords: Python, xircuits, Jupyterlab4, Jupyterlab extensions
Skills level: junior+, mid
Mentors: Lia Domide (lead), Romina Baila (backup)
All projects bellow can be tailored for different length, as the features/pages can be build incrementally.
Beta Was this translation helpful? Give feedback.
All reactions