Published September 13, 2024 | Version v1
Dataset Open

Nonlinear spatial integration allows the retina to detect the sign of defocus in natural scenes

Authors/Creators

  • 1. ROR icon EssilorLuxottica (France)
  • 2. ROR icon Sorbonne Université
  • 3. CNRS
  • 4. ROR icon Inserm

Contributors

  • 1. ROR icon Sorbonne Université
  • 2. CNRS
  • 3. ROR icon Inserm
  • 4. ROR icon EssilorLuxottica (France)

Description

The dataset comprises three types of data. First, multi-electrode array recordings of mouse retinal ganglion cells performed by Awen Louboutin and Tom Quetu. Second, point spread functions from mouse and human optical eye models, and associated convolved natural images. Third, results from a convolutional neural network model trainings.

Files

Defocus detection data.zip

Files (19.7 GB)

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md5:fee8470e295aea23f9699d6d56f800fa
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