Author

Gorish Aggarwal

Stanford MedicineORCID 0000-0002-2469-7485Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 3 Organism:human· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:non-human primate· 1

Frequent Co-Authors

Alan M LitkeiD· 2 shared Alex R. GogliettinoiD· 2 shared Alexander SheriD· 2 shared Alexandra KlingiD· 2 shared E. J. ChichilniskyiD· 2 shared Eric G. WuiD· 2 shared Moosa Hasan ZaidiiD· 2 shared Nishal P. ShahiD· 2 shared

Activity by Year

2017-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Alan M LitkeORCID

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3 papers

Recent·Most cited

Inferring light responses of primate retinal ganglion cells using intrinsic electrical signatures

Moosa Hasan Zaidi, Gorish Aggarwal, Nishal P. Shah, Orren Karniol-Tambour, Georges A. Goetz, Sasidhar S. Madugula, Alex R. Gogliettino, Eric G. Wu, Alexandra Kling, Nora Brackbill, Alexander Sher, Alan M Litke, E. J. Chichilnisky

The paper infers light responses of primate retinal ganglion cells using electrical features, achieving moderate correlation with measured firing rates.

Journal of Neural Engineering · Jul 11, 2023Peer-reviewedNeuroscience

Focal Electrical Stimulation of Human Retinal Ganglion Cells for Vision Restoration

Sasidhar S. Madugula, Alex R. Gogliettino, Moosa Hasan Zaidi, Gorish Aggarwal, Alexandra Kling, Nishal P. Shah, Jeff B. Brown, Ramandeep S. Vilkhu, Madeline Rose Hays, Huy Nguyen, Victoria H. Fan, Eric G. Wu, Paweł Hottowy, Alexander Sher, Alan M Litke, , E. J. Chichilnisky

This study demonstrates that high-fidelity electrical stimulation of human retinal ganglion cells is achievable with extracellular stimulation, validated through ex vivo experiments and comparison to macaque retina results.

Journal of Neural Engineering · Nov 24, 2022Peer-reviewedNeuroscience

Prediction of Epileptic Seizures based on Mean Phase Coherence

Gorish Aggarwal, Tapan Kumar Gandhi

This study presents a real-time technique using Mean Phase Coherence to predict epileptic seizures with a prediction horizon of 4-10 minutes, achieving success in 8 out of 10 test cases.

bioRxiv · Nov 1, 2017 · PreprintNeuroscience