Scientific software

Register in vivo calcium imaging with ex vivo brain sections, for spatial transcriptomics and antibody staining.

Find maximally reliable dimensions using contrastive learning. Like PCA, but maximising test-retest reliability instead of explained variance.

Simulate and fit generalised drift-diffusion models (DDMs).

A synthetic spatiotemporal visual stimulus for neuron fingerprinting, retinotopy, and visual tuning.

Model and analyse spatial and temporal autocorrelation, especially for resting-state fMRI.

Design complex matplotlib layouts and multipanel figures.

A runtime verification library for scientific software.

Find how well nodes fit into the community structure of a modular network.