doc(readme): update readme links to paper

README.md

@@ -1,6 +1,6 @@
 # S1 kinematic encoding analysis
 
-This repository contains analysis code relevant to the manuscript "Area 2 of primary somatosensory cortex encodes kinematics of the whole arm", which can be found [here](https://www.biorxiv.org/content/10.1101/643205v2).
+This repository contains analysis code relevant to the manuscript "Area 2 of primary somatosensory cortex encodes kinematics of the whole arm", which can be found [here](https://doi.org/10.7554/eLife.48198).
 
 ## How to get the code
 
@@ -16,6 +16,12 @@ git clone -r https://github.com/raeedcho/s1-kinematics.git
 
 You can also download the code from [here](https://github.com/raeedcho/s1-kinematics/releases/download/v1.0/s1-kinematics-v1.0.zip).
 
+## Execution instructions
+
+The main scripts used to generate the figures from the behavioral and neural data (found [here](https://doi.org/10.5061/dryad.nk98sf7q7)) are `plotRFMaps.m`, `twoworkspace_analysis.m`, and `actpas_analysis.m`.
+
+Before running the main analysis scripts, add `lib/` and all its subdirectories to the MATLAB path. Download the data to disk and modify the `dataroot` at the top of the scripts to point to the unzipped data directory. Then simply run the scripts. Note that because these scripts use extensive cross-validation, the analysis will take a long time to run.
+
 ## Environmental requirements
 
 I've tested this code most recently on MATLAB 2019a with the following toolboxes installed (note that many of these toolboxes are not actually required for the code to run--this was just my most recent MATLAB environment):
@@ -75,9 +81,3 @@ I've tested this code most recently on MATLAB 2019a with the following toolboxes
 - System Identification Toolbox                         Version 9.10        (R2019a)
 - Text Analytics Toolbox                                Version 1.3         (R2019a)
 - Wavelet Toolbox                                       Version 5.2         (R2019a)
-
-## Execution instructions
-
-The main scripts used to generate the figures from the behavioral and neural data (found [here](https://doi.org/10.5061/dryad.nk98sf7q7)) are `plotRFMaps.m`, `twoworkspace_analysis.m`, and `actpas_analysis.m`.
-
-Before running the main analysis scripts, add `lib/` and all its subdirectories to the MATLAB path. Download the data to disk and modify the `dataroot` at the top of the scripts to point to the unzipped data directory. Then simply run the scripts. Note that because these scripts use extensive cross-validation, the analysis will take a long time to run.