simnibs

Temporal Interference Toolbox for Non-Invasive Brain Stimulation

BBOP is a modular pipeline tailored for tFUS planning with BabelBrain. While optimized for use with BabelBrain integrated in Brainsight, it can also be used with the standalone installation. It integrates MRI preprocessing, MNI-based targeting, transducer positioning, pseudo-CT generation, and simulation preparation in a structured workflow.

GPU-accelerated CAT-Surface spherical inflation and surface registration with PyTorch and Triton.

TIDE is a SimNIBS-based research pipeline for tractography-informed estimation of individualised TMS intensity using motor-threshold calibration and the activating function.

Anatomy-to-electric field modeling pipeline for non-invasive brain stimulation (tDCS, N=590). Modular, JSON-configured R/Python statistical tools -- mixed-effects GLMs, parcellation-based network analysis, PCA with label clustering -- adaptable to any spatially distributed multivariate data.

Claude Code / Cowork plugin for paper briefing, prior-art landscaping, researcher dossiers, and coil/neural/thermal modeling, adaptable to any research field

Simulation of optimal configurations of miniature TMS coils to encode information into the brain using Reinforcement Learning

Complete pipeline from an MRI in DICOM + an EEG recording to a cortical source estimate with MNE-Python. Driven in Python, runs natively on Windows, without FreeSurfer, without WSL, without Docker. (An optional volumetric BEM route is described further down; that one does use WSL + FreeSurfer.)

FSL-free DTI-to-conductivity workflows for SimNIBS 4.6

high-performance software for medical imaging