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@sensein

Senseable Intelligence Group

Our group uses neuroimaging, speech communication, and machine learning to improve assessments and treatments for mental health.

Senseable Intelligence Group

The Senseable Intelligence Group builds open-source tools and research infrastructure for neuroscience, speech and communication, and digital health. Our current work emphasizes reproducible methods, data standards, and software for analyzing speech, video, text, and other quantitative measures of behavior, physiology, and communication.

Core Directions

Brain knowledge systems

We build tools for integrating data, methods, evidence, and provenance into usable knowledge systems for neuroscience. This work is closely connected to BICAN efforts around cell types, anatomy, spatial maps, and knowledge integration, and is anchored in BrainKB.

Open tools for speech, video, and quantitative behavior

We develop software for working with speech, voice, text, video, and related research data. Much of this work is now centered in senselab, which consolidates reproducible pipelines and utilities used across projects in vocal markers of health, child language, and home-video behavior analysis.

Data standards and interoperability

We create tools that help researchers organize, convert, validate, and share data across studies and platforms. This includes Bridge2AI voice infrastructure and reusable tooling for preparing acoustic, questionnaire, and metadata-rich datasets, represented here by b2aiprep.

Reproducible neuroscience infrastructure

Our organization also includes methods and infrastructure for reproducible neuroscience and open computational research, from neuroimaging methods to workflow-oriented tooling.

Representative Projects

  • BrainKB: a platform for curated neuroscientific knowledge, knowledge integration, and scientific discovery
  • senselab: reproducible analysis pipelines for speech, text, video, and related research data
  • b2aiprep: tooling for preparing acoustic and study data for the Bridge2AI voice project
  • mapalign: diffusion map embedding and alignment methods used in neuroimaging research

Related Communities and Consortia

Members of the Senseable Intelligence Group also contribute to and collaborate with several independent open-source communities and research consortia. These are community-led efforts we participate in, rather than repositories owned by this GitHub organization.

  • BBQS: tools and coordination for brain behavior quantification and synchronization
  • ReproNim: reproducible neuroimaging workflows and provenance-aware research infrastructure
  • DANDI: open neurophysiology data sharing and tooling
  • NiPy / Nipype: neuroimaging analysis workflows and software interoperability

Learn More

Popular repositories Loading

  1. mapalign mapalign Public

    Diffusion map based embedding and alignment

    Jupyter Notebook 69 28

  2. senselab senselab Public

    senselab is a Python package that simplifies building pipelines for biometric (e.g. speech, voice, video, etc) analysis.

    Jupyter Notebook 37 9

  3. b2aiprep b2aiprep Public

    Python 24 8

  4. riverst riverst Public

    Just a simple multimodal avatar interaction platform

    JavaScript 19 7

  5. VocalTractModels VocalTractModels Public

    C 9 8

  6. structsense structsense Public

    Python 8 4

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