Author

Yoram Singer

Google (United States)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Neuroscience· 2

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Research Focus:benchmarking· 2 Assay:electronic health records· 2 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Organism:non-human primate· 1 Approach:statistical model· 1

Frequent Co-Authors

E. J. ChichilniskyiD· 2 shared Jonathon ShlensiD· 2 shared Nishal P. ShahiD· 2 shared Alan M LitkeiD· 1 shared Alexander SheriD· 1 shared Alexandra KlingiD· 1 shared Colleen E. RhoadesiD· 1 shared Nora BrackbilliD· 1 shared

Activity by Year

2018-2021 · peak 1/yr

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10 top collaborators · 39 mutual co-author links

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2 shared papersNeuroscience

E. J. ChichilniskyORCID

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2 papers

Recent·Most cited

Individual variability of neural computations in the primate retina

Nishal P. Shah, Nora Brackbill, Ryan Samarakoon, Colleen E. Rhoades, Alexandra Kling, Alexander Sher, Alan M Litke, Yoram Singer, Jonathon Shlens, E. J. Chichilnisky

The paper examines individual variability in neural computations of the primate retina using machine learning and finds sex-based differences in firing rates and temporal integration.

Neuron · Dec 20, 2021Peer-reviewedNeuroscience

Learning a neural response metric for retinal prosthesis

Nishal P. Shah, Sasidhar S. Madugula, E. J. Chichilnisky, Jonathon Shlens, Yoram Singer

The paper learns a neural response metric from retinal ganglion cell data to improve retinal prosthesis performance by better matching artificial and natural visual signals.

bioRxiv · Jan 30, 2018 · PreprintNeuroscience