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https://github.com/baccuslab/deep-retina

deep-retina is a project to build a convolutional neural network that can predict retinal ganglion cell responses to natural stimuli with high accuracy.

https://github.com/baccuslab/deep-retina

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
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    DOI references
  • ✓
    Academic publication links
    Links to: arxiv.org
  • ○
    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (4.9%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

deep-retina is a project to build a convolutional neural network that can predict retinal ganglion cell responses to natural stimuli with high accuracy.

Basic Info
  • Host: GitHub
  • Owner: baccuslab
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 66.7 MB
Statistics
  • Stars: 48
  • Watchers: 21
  • Forks: 17
  • Open Issues: 3
  • Releases: 0
Created over 11 years ago · Last pushed about 3 years ago

https://github.com/baccuslab/deep-retina/blob/master/ 

## Deep Learning Models of the Retinal Response to Natural Scenes
Deep retina is a project to test to what degree artificial neural networks can predict retinal ganglion cell responses to natural stimuli.

Please see our [NIPS paper](https://arxiv.org/abs/1702.01825) for more details.

Note that deepretina requires python 3.5 or higher.

### Usage
To install the dependencies, run `pip install -r requirements.txt`. Scripts for training models are located in the `scripts` folder (e.g. see `scripts/fit_models.py`). Model definitions are in `deepretina/models.py`

Owner

  • Name: Baccus Lab
  • Login: baccuslab
  • Kind: organization
  • Email: thebaccuslab@gmail.com

GitHub Events

Total
  • Watch event: 7
  • Fork event: 1
Last Year
  • Watch event: 7
  • Fork event: 1

Dependencies

requirements.txt pypi
  • deepdish *
  • descent *
  • h5py *
  • keras >=2.0.5
  • matplotlib *
  • numpy *
  • pyret *
  • scikit-image *
  • scikit-learn *
  • scipy *
  • tableprint *
  • tensorflow-gpu *
  • tqdm *
setup.py pypi
  • i.strip *