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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Multilayer recurrent network models of primate retinal ganglion cell responses
Published in ICLR, 2017
Batty, E. Merel, J., Brackbill, N., Heitman, A., Sher, A., Litke, A., Chichilnisky, E., Paninski, L. “Multilayer recurrent network models of primate retinal ganlion cell responses.” International Conference on Learning Representations 2017.
YASS: Yet Another Spike Sorter
Published in NIPS, 2017
Lee, J., Carlson, D., Shokri, H., Yao, W., Goetz, G., Hagen, E., Batty, E., Chichilnisky, E., Einevoll, G., Paninski, L. YASS: Yet Another Spike Sorter. Advances in Neural Informational Processing Systems 2017.
Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons
Published in NIPS, 2017
Parthasarathy, N.∗, Batty, E.∗, Falcon, W., Rutten, T., Rajpal, M., Chichilnisky, E., Paninski, L. Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons. Advances in Neural Informational Processing Systems 2017. Accepted as Spotlight Presentation.
BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos
Published in NeurIPS, 2019
Batty, E.∗, Whiteway, M.*, Saxena, S., Biderman, D., Abe, T., Musall, S., Gillis, W., Markowitz, J., Churchland, A., Cunningham, J., Datta, S., Linderman, S., Paninski, L. BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos. Advances in Neural Informational Processing Systems 2019.
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