See also

These open-source software packages and workflows build upon SimNIBS or interface with it, and might be interesting for you. Let us know in case you’ve developed something cool using SimNIBS!

ACES (Automated Correlation of Electric field strength and Stimulation effects) (website, reference) that enabes the aggregation of NIBS findings on the meta-analytical or within-study level for analyses.

BabelBrain (website, reference) is a software for the simulation of transcranial ultrasound stimulation and uses SimNIBS for the creation of head models .

BOONStim (website, reference) is an automated pipeline for individualized TMS targeting that uses SimNIBS for field calculations.

BrainStorm (website, reference) is a package for the analysis of brain signal recordings and uses SimNIBS for the creation of FEM head meshes .

FASTANS (website) is a faster version of TMS_targeting listed below, leveraging improvements implemented in SimNIBS 4.5

FieldTrip (website, reference) supports EEG source localization based on SimNIBS head models and leadfields .

Metamodeling (website, reference) introduces a new way to do meta-analyses of brain stimulation effects

NaviNIBS (website, reference) is an open-source neuronavigation solution that builds on SimNIBS head models.

NHP modeling pipeline (website, reference) uses SimNIBS to calculate electric fields in NHP head models.

PlanTUS (website) uses SimNIBS charm to create head models for TUS planning.

PrecisionTMSPlanning (website, reference) aims to identify an optimal TMS target based on rs-fMRI connectivity and e-field modelling.

TAP (TMS_Targeting_And_Analysis_Pipeline) (website, reference) is a pipeline to optimize and verify coil placements in transcranial magnetic stimulation.

Targeted Functional Network Stimulation (TANS) (website, reference) aims to optimize the network-specificity of TMS stimulation.

Temporal Interference Toolbox (website) for the planning and analyses of TI montages.

TMSloc_proto (website, reference) integrates SimNIBS field calculations into an analysis pipeline for TMS motor mapping data

TMS_targeting (website, reference) aims to identify an optimal TMS target using fMRI data and e-field modelling.