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Code Repository for "Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons" by Nikhil Parthasarathy, Eleanor Batty, William Falcon, Thomas Rutten, Mohit Rajpal, E.J. Chichilnisky, Liam Paninski

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visual-neural-decode

Code Repository for "Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons" by Nikhil Parthasarathy, Eleanor Batty, William Falcon, Thomas Rutten, Mohit Rajpal, E.J. Chichilnisky, Liam Paninski

Main Dependencies

main python packages

python>=3.5 tensorflow>=1.0 (gpu version), h5py, testtube

other

git lfs (for saved linear decoder models)

Overview

Code provided here allows you to generate the main results from the paper. To get an understanding for the basic code structure and testing the basic framework please look at the the two jupyter notebooks in the main folder: ./linear_decoder_demonstration.ipynb ./nn_model_demonstration.ipynb

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Code Repository for "Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons" by Nikhil Parthasarathy, Eleanor Batty, William Falcon, Thomas Rutten, Mohit Rajpal, E.J. Chichilnisky, Liam Paninski

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