nyu-effimodel
Code and data for Xiao et al (2023) "Efficient models of cortical activity via local dynamic equilibria and coarse-grained interactions."
Science Score: 26.0%
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Low similarity (3.0%) to scientific vocabulary
Repository
Code and data for Xiao et al (2023) "Efficient models of cortical activity via local dynamic equilibria and coarse-grained interactions."
Basic Info
- Host: GitHub
- Owner: Texense
- License: gpl-2.0
- Language: MATLAB
- Default Branch: main
- Size: 381 MB
Statistics
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
NYU_EffiModel
This repository contains the source code accompanying the paper "Efficient models of cortical activity via local dynamic equilibria and coarse-grained interactions," to submitted to PNAS.
Meanwhile, if you have any questions, please contact one of us.
Zhuo-Cheng Xiao zx555@nyu.edu Kevin K. Lin klin@math.arizona.edu Lai-Sang Young lsy@cims.nyu.edu
Owner
- Login: Texense
- Kind: user
- Repositories: 1
- Profile: https://github.com/Texense