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\n", "\n", "# Workshop Cambridge, November 2020\n", "\n", "Python is on its way to become the most used programming language in neuroscience. It is easy to understand, can be learned rather quickly and has a very strong and helpful community behind it. There exist many amazing neuroimaging software packages, such as Nipype, Nilearn, fMRIPrep and more which facilitate the everyday life of a neuroscientist.\n", "\n", "The goal of this 2-day workshop is to introduce participants to many different neuroimaging toolboxes, the Python framework around it and everything you need to know about [Nipype](https://nipype.readthedocs.io/en/latest/) to start creating your own pipelines and optimizing your workflows.\n", "\n", "09:30-10:00
Workshop overview10:00-10:45
Quick recap on Jupyter, Python and more10:45-12:00
Explore MRI data with Nibabel and NilearnThis section involves exercises and individual exploration of notebooks.
\n", "\n", "12:00-13:00
Lunch13:00-13:30
How to set up your system, using Conda and Docker13:30-15:00
Functional connectivity and machine learningThis section involves exercises and individual exploration of notebooks.
\n", "\n", "15:00-15:30
Innovations in neuroimaging tools (Part I)15:30-...
Open ended for questions09:30-10:00
Introduction to Nipype10:00-11:00
Exploration of Nipype's building blocksThis section involves exercises and individual exploration of notebooks.
\n", "\n", "11:00-12:00
Creating a Nipype Pipeline from A-ZThis section involves exercises and individual exploration of notebooks.
\n", "\n", "12:00-13:00
Lunch13:00-14:00
PyBIDS and statistical analysis of fMRI dataThis section involves exercises and individual exploration of notebooks.
\n", "\n", "14:00-15:00
Multivariate pattern analysis using Searchlight and Deep LearningThis section involves exercises and individual exploration of notebooks.
\n", "\n", "15:00-15:30
Innovations in neuroimaging tools (Part 2)15:30-...
Open ended for questions