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@siplab-gt

SIPLab

Welcome! 👋

This is the home of software produced by the Structured Information for Precision Neuroengineering Lab (SIPLab) led by Chris Rozell and Sankar Alagapan at Georgia Tech.

Our research focus is in computational neuroengineering, an intersection of data science, neurotechnology and computational modeling that aims to advance the understanding of brain function and the design of effective interventions.

See CLOCTools for real-time closed-loop optogenetic control software, developed in collaboration with the Garrett Stanley lab.

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  1. generative-causal-explanations generative-causal-explanations Public

    Code for "Generative causal explanations of black-box classifiers"

    Python 34 14

  2. infotuple infotuple Public

    Code supplement for "Active Ordinal Querying for Tuplewise Similarity Learning", appearing in AAAI 2020

    Python 5 1

  3. pairsearch pairsearch Public

    Project code for "Active Embedding Search via Noisy Paired Comparisons" (ICML 2019)

    Python 8 3

  4. manifold-autoencoder-extended manifold-autoencoder-extended Public

    Jupyter Notebook 3 3

  5. cleo cleo Public

    Closed-Loop, Electrophysiology, and Optophysiology experiment simulation testbed for mesoscale neuroscience

    Python 16

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