synthbold is a Python library that generates synthetic functional MRI data focused on BOLD (Blood Oxygen Level Dependent) signal simulations. It allows researchers to create realistic fMRI datasets for testing algorithms, validating methods, or running simulations without access to physical MRI scanners. Primarily used in neuroimaging research and academic settings.
In the AI & ML space, synthbold takes a focused approach. It focuses on generating realistic synthetic fMRI data for BOLD simulations without needing real scanner time or patient data. It is built as an open-source project for neuroimaging researchers. synthbold is open source under the GPL-3.0 license. synthbold is available on the command line and API.
haenelt builds and maintains synthbold, and it first shipped in 2026. Development happens publicly on GitHub with 23 commits in the last 90 days. Among its 3 catalogued features are BOLD Simulation, synthetic fMRI, and MRI Data Generation.
Summary written by a language model from the project’s public pages.
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