Author

Thomas Rutten

Columbia University

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Neuroscience· 1

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Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1 Organism:non-human primate· 1 Approach:simulation· 1 Approach:statistical model· 1

Frequent Co-Authors

E. J. ChichilniskyiD· 1 shared Eleanor Batty· 1 shared Liam PaninskiiD· 1 shared Mohit RajpaliD· 1 shared Nikhil Parthasarathy· 1 shared William Falcon· 1 shared

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2018-2018 · peak 1/yr

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1 shared paperNeuroscience

E. J. ChichilniskyORCID

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1 paper

Recent·Most cited

Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons

Nikhil Parthasarathy, Eleanor Batty, William Falcon, Thomas Rutten, Mohit Rajpal, E. J. Chichilnisky, Liam Paninski

Linear decoding followed by a convolutional autoencoder reconstructs natural images from 5398 simulated macaque retinal ganglion cell responses better than linear decoding (test mean squared error 0.0051 vs 0.0077).

bioRxiv · May 28, 2018 · PreprintNeuroscience✦ In-depth digest