https://github.com/mobeets/neural-redundancy-elife2018
Code for "Constraints on neural redundancy", Hennig et al. (eLife, 2018)
https://github.com/mobeets/neural-redundancy-elife2018
academic-paper brain-machine-interface elife neural-computation neural-redundancy neuroscience
Last synced: 10 months ago
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Code for "Constraints on neural redundancy", Hennig et al. (eLife, 2018)
- Host: GitHub
- URL: https://github.com/mobeets/neural-redundancy-elife2018
- Owner: mobeets
- License: mit
- Created: 2018-07-13T15:40:50.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2018-08-11T17:18:43.000Z (almost 8 years ago)
- Last Synced: 2025-01-12T17:11:35.290Z (over 1 year ago)
- Topics: academic-paper, brain-machine-interface, elife, neural-computation, neural-redundancy, neuroscience
- Language: Matlab
- Homepage: https://doi.org/10.7554/eLife.36774
- Size: 2.37 MB
- Stars: 7
- Watchers: 3
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Analysis code for "Constraints on neural redundancy"
__Paper__: Jay A. Hennig, Matthew D. Golub, Peter J. Lund, Patrick T. Sadtler, Emily R. Oby, Kristin M. Quick, Stephen I. Ryu, Elizabeth C. Tyler-Kabara, Aaron P. Batista*, Byron M. Yu*, and Steven M. Chase*. "Constraints on neural redundancy". _eLife_ (2018)
__Code author:__ Jay Hennig (jhennig@cmu.edu)
## Getting started
This codepack applies the analyses in the paper to the example experiment found in `data/sessions`. To generate all hypotheses' fits and the resulting figures, run the following:
```
>> fitAndPlotAll
```
By default, all figures will be written to `data/plots/example`. Note that in the paper, Figures 5 and 6 (and corresponding supplemental figures) are based on data from 42 experiments. We provide the code and example session here to illustrate our analyses, and to facilitate those who wish to apply the same analyses to their own experiments.
## Requirements
This code should work on any version of Matlab from 2013a onwards. (Tested on Matlab 2015a, 2016a, 2017b, and 2018a on Mac, Matlab 2015a and 2018a on Linux, and Matlab 2013a on Windows.)
To generate figures as pdfs, you may need to install [ghostscript](https://ghostscript.com/).