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1. neuro-provenance-toolkit neuro-provenance-toolkit Public

   A neuroscience toolkit built around one core idea — automatically tracking whether "bad" or contaminated data secretly leaked into your brain-signal analysis, even after it's passed through filters…

   Python

2. neuromorphic-wcet-cert neuromorphic-wcet-cert Public

   prototype pipeline that takes a brain-inspired AI model for detecting seizures from EEG data and tries to mathematically prove it will always run fast enough and safely on a tiny medical chip — tho…

   Python

3. stratum-eval stratum-eval Public

   A framework that makes AI systems used in healthcare explain what errors they might make, who those errors affect, and whether that's acceptable

   Python

4. Do-calculus-interventions Do-calculus-interventions Public

   Code that tests whether a specific type of brain-inspired neural network can correctly answer "what if" medical questions (like predicting treatment effects) as reliably as formal statistical causa…

   Python

5. sparse-ae-research sparse-ae-research Public

   ​PyTorch framework analyzing the trade-offs between reconstruction efficiency, geometric diversity, and Gabor-likeness in sparse autoencoders (SAEs).

   Python 1

6. iPSC-Organoid-Criticality iPSC-Organoid-Criticality Public

   machine learning pipeline that analyzes electrical signals from lab-grown mini-brains to see if the brain circuits in schizophrenia and autism models fail to reach the healthy "balanced" state that…

   Python 1