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 [NeuMapper](https://braindynamicslab.github.io/neumapper/) is a Matlab implementation of a scalable Mapper algorithm designed specifically for neuroimaging data analysis.
 
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 Developed with neuroimaging data analysis in mind, NeuMapper implements a novel landmark-based intrinsic binning strategy that eliminates the need for dimensionality reduction. Rather than projecting the high-dimensional data to a low-dimensional embedding, NeuMapper stays in high-dimensional space and performs the binning directly on a reciprocal kNN graph. By using geodesic distances, NeuMapper is able to better captures the high-dimensional, non-linear structure underlying the dynamical landscape of brain activity.