Published December 9, 2023
| Version publication
Software
Open
SchwartzNU/SymphonyAnalysis: Swygart_NatureComm_2023
Authors/Creators
- 1. Stanford University
- 2. Northwestern University
- 3. @ala-laurila-lab, @Schwartz-AlaLaurila-Labs
Description
Snapshot of our Symphony Analysis code for electrophysiology data used in: A presynaptic source drives differing levels of surround suppression in two mouse retinal ganglion cell types. David Swygart, Wan-Qing Yu, Shunsuke Takeuchi, Rachel R. O.L. Wong, and Gregory W. Schwartz Nature Communications, 2023
Files
SchwartzNU/SymphonyAnalysis-publication.zip
Files
(20.0 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:3104a88e7c3f6ee12c37c5e31fa9804b
|
20.0 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Software: https://github.com/SchwartzNU/SymphonyAnalysis/tree/publication (URL)