Author

Eleanor Batty

Columbia University

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Neuroscience· 4

Signature Assays, Organisms & Methods

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Organism:non-human primate· 4 Approach:deep learning· 3 Assay:electronic health records· 3 Research Focus:clustering· 2 Approach:simulation· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1

Frequent Co-Authors

E. J. ChichilniskyiD· 4 shared Liam PaninskiiD· 4 shared JinHyung LeeiD· 3 shared Catalin MitelutiD· 2 shared David CarlsoniD· 2 shared Georges A. GoetziD· 2 shared Hooshmand Shokri· 2 shared Nora BrackbilliD· 2 shared

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2017-2021 · peak 1/yr

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4 papers

Recent·Most cited

Nonlinear decoding of natural images from large-scale primate retinal ganglion recordings

Young Joon Kim, Nora Brackbill, Eleanor Batty, JinHyung Lee, Catalin Mitelut, William L. Tong, E. J. Chichilnisky, Liam Paninski

This paper develops a nonlinear decoding method to infer natural images from primate retinal ganglion cell activity, showing improved accuracy over linear methods for high-pass features.

Neural Computation · Apr 22, 2021Peer-reviewedNeuroscience

YASS: Yet Another Spike Sorter applied to large-scale multi-electrode array recordings in primate retina

JinHyung Lee, Catalin Mitelut, Hooshmand Shokri, Ian Kinsella, Nishchal Dethe, Shenghao Wu, Kevin Li, Eduardo Blancas Reyes, Denis Turcu, Eleanor Batty, Young Joon Kim, Nora Brackbill, Alexandra Kling, Georges A. Goetz, E. J. Chichilnisky, , Liam Paninski

YASS sorts spikes from multi-electrode arrays with > 500 electrodes using neural network detection and denoising, parallelized nonparametric Bayesian clustering, and matching-pursuit deconvolution, outperforming manual sorting on primate retina recordings.

bioRxiv · Mar 18, 2020 · PreprintNeuroscience

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

YASS: Yet Another Spike Sorter

JinHyung Lee, David Carlson, Hooshmand Shokri, Weichi Yao, Georges A. Goetz, Espen Hagen, Eleanor Batty, E. J. Chichilnisky, Gaute T. Einevoll, Liam Paninski

A dense multi-electrode array spike sorter that triages collisions, clusters clean waveforms with a coreset Dirichlet process mixture, then deconvolves, giving more stable clusters and faster template learning than KiloSort.

bioRxiv · Jun 19, 2017 · PreprintNeuroscience✦ In-depth digest