NeuroInfer (NI) is a software to support neuroscientists' inference on fMRI data. It implements a Bayesian approach and it is currently based on a dataset of more than 14,000 fMRI studies (shared with NeuroSynth).
The aim of the project is to update the database and, in particular, define a pipeline for extracting relevant information from the texts of fMRI studies (i.e., terms and coordinates of brain activation).
Title
NeuroInfer and Database update
Leaders
Davide Coraci
Collaborators
Matteo Lionello Sara Mazzucato
Brainhack Global 2024 Event
Brainhack Lucca
Project Description
NeuroInfer (NI) is a software to support neuroscientists' inference on fMRI data. It implements a Bayesian approach and it is currently based on a dataset of more than 14,000 fMRI studies (shared with NeuroSynth). The aim of the project is to update the database and, in particular, define a pipeline for extracting relevant information from the texts of fMRI studies (i.e., terms and coordinates of brain activation).
Link to project repository/sources
https://github.com/davidecrc/neuroinfer_brainhack24
Goals for Brainhack Global
Good first issues
Communication channels
https://github.com/davidecrc/neuroinfer_brainhack24 https://github.com/davidecrc/neuroinfer_brainhack23
Skills
Python (basics) Experience with API would be cool!
Onboarding documentation
No response
What will participants learn?
No response
Data to use
The project will be based on data from https://github.com/davidecrc/neuroinfer_brainhack23
Number of collaborators
1-3
Credit to collaborators
No response
Image
Type
data_management, method_development, pipeline_development
Development status
1_basic structure
Topic
bayesian_approaches, reproducible_scientific_methods
Tools
Jupyter, other
Programming language
Python, shell_scripting
Modalities
fMRI
Git skills
0_no_git_skills
Anything else?
No response
Things to do after the project is submitted and ready to review.
Hi @brainhacklucca my project is ready!