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feat: add NeuroLens interactive neuroscience playground#21

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Ansumanbhujabal wants to merge 1 commit intofacebookresearch:mainfrom
Ansumanbhujabal:neurolens
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feat: add NeuroLens interactive neuroscience playground#21
Ansumanbhujabal wants to merge 1 commit intofacebookresearch:mainfrom
Ansumanbhujabal:neurolens

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NeuroLens is an interactive module built on top of TRIBE v2 that enables exploration of brain predictions through three modules:

  • Predict: Load and visualize brain surface activations per stimulus at any timepoint, with ROI-level summaries
  • Match: Find neurally similar stimuli ("More Like This") and contrast brain regions to discover what content maximizes/minimizes specific neural responses
  • Eval: Compare AI models (CLIP, Whisper, GPT-2) against brain predictions using RSA (Representational Similarity Analysis)

Includes:

  • 9 Python modules (neurolens/ package)
  • Interactive Jupyter notebook with widget-based UI
  • Automated results generator for batch analysis
  • 31 unit + integration tests (100% pass)
  • Getting started documentation

The module works with pre-computed brain predictions from the TRIBE v2 model and requires no GPU for interactive exploration.

NeuroLens is an interactive module built on top of TRIBE v2 that enables
exploration of brain predictions through three modules:

- **Predict**: Load and visualize brain surface activations per stimulus
  at any timepoint, with ROI-level summaries
- **Match**: Find neurally similar stimuli ("More Like This") and
  contrast brain regions to discover what content maximizes/minimizes
  specific neural responses
- **Eval**: Compare AI models (CLIP, Whisper, GPT-2) against brain
  predictions using RSA (Representational Similarity Analysis)

Includes:
- 9 Python modules (neurolens/ package)
- Interactive Jupyter notebook with widget-based UI
- Automated results generator for batch analysis
- 31 unit + integration tests (100% pass)
- Getting started documentation

The module works with pre-computed brain predictions from the TRIBE v2
model and requires no GPU for interactive exploration.
@meta-cla meta-cla bot added the CLA Signed This label is managed by the Meta Open Source bot. label Apr 2, 2026
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