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from twk.distributed import RayExecutor

# ------------------------------------------------- # 2. Preprocess functional runs # ------------------------------------------------- preproc = tpre.Pipeline() preproc.add_step('realign', reference='mean') preproc.add_step('slice_time_correction', method='interleaved') preproc.add_step('denoise', method='ica_aroma') func_clean = preproc.apply(dataset.func) twk lausanne download

singularity pull docker://epfl/twk-lausanne:2.0 singularity exec twk-lausanne_2.0.sif twk-dashboard These containers embed all optional dependencies (CUDA, neuroimaging libraries, JupyterLab) and are . 4.4. Source Code (Git) If you prefer to develop on the bleeding edge: from twk

# ------------------------------------------------- # 4. Threshold and visualise the contrast # ------------------------------------------------- contrast = glm.contrast('2back > 0back') thresholded = tstat.threshold(contrast, p=0.05, method='fdr') tvis.plot_brain(thresholded, surface='fsaverage', cmap='cold_hot') The same pipeline can be that the web dashboard can execute without writing any code: Source Code (Git) If you prefer to develop

The suite is built around a , with optional C/C++ extensions for performance‑critical kernels. It follows the FAIR (Findable, Accessible, Interoperable, Re‑usable) principles and integrates seamlessly with other community tools such as Nilearn , MNE‑Python , FSL , SPM , and AFNI . 2. Historical Context | Year | Milestone | |------|-----------| | 2015 | Project conception at EPFL’s Laboratory for Cognitive Neuroimaging (LCN). | | 2016 | First public release (v0.1) on GitHub under the permissive BSD‑3‑Clause license. | | 2018 | Integration of a GPU‑accelerated diffusion‑tensor toolbox (via CUDA). | | 2020 | Introduction of the “Lausanne 2020 ” data‑standardisation layer, aligning with BIDS (Brain Imaging Data Structure). | | 2022 | Full support for containerised deployment (Docker, Singularity) and a cloud‑ready version for AWS/GCP. | | 2024 | Release of TWK Lausanne 2.0 , featuring a modular plugin architecture, a web‑based dashboard, and an extensive Python API. |