Author

Lane McIntosh

Stanford UniversityORCID 0000-0002-4236-1061Unclaimed 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· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:experimental assay· 1

Frequent Co-Authors

Stephen A. BaccusiD· 3 shared David B. KastneriD· 2 shared Niru MaheswaranathaniD· 2 shared Satchel Grant· 2 shared Aran NayebiiD· 1 shared Benjamin N. NaeckeriD· 1 shared Dongsoo LeeiD· 1 shared Heike SteiniD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersNeuroscience

Stephen A. BaccusORCID

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3 papers

Recent·Most cited

The dynamic neural code of the retina for natural scenes

Niru Maheswaranathan, Lane McIntosh, Hidenori Tanaka, Satchel Grant, David B. Kastner, Joshua B. Melander, Aran Nayebi, Luke E. Brezovec, Julia H. Wang, Surya Ganguli, Stephen A. Baccus

The paper develops a three-layer network model to predict retinal responses to natural scenes, revealing fast dynamics in ganglion cell signaling and the role of interneurons in generating the retinal code.

Neuron · Jul 13, 2023Peer-reviewedNeuroscience

Synchronous inhibitory pathways create both efficiency and diversity in the retina

Mihai Manu, Lane McIntosh, David B. Kastner, Benjamin N. Naecker, Stephen A. Baccus

The paper identifies how two inhibitory pathways in the retina work together to create efficient and diverse ganglion cell receptive fields through synchronized activity.

Proceedings of the National Academy of Sciences · Jan 21, 2022Peer-reviewedNeuroscience

A mechanistically interpretable model of the retinal neural code for natural scenes with multiscale adaptive dynamics

Xuehao Ding, Dongsoo Lee, Satchel Grant, Heike Stein, Lane McIntosh, Niru Maheswaranathan, Stephen A. Baccus

The paper presents a mechanistically interpretable model of retinal ganglion cell responses to natural scenes, incorporating slow adaptive dynamics and capturing retinal computations.

Asilomar Conference on Signals, Systems and Computers (ACSSC) · Oct 31, 2021Peer-reviewedNeuroscience