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<p>This repository contains all data and code associated with our manuscript:</p> <p><a href="https://www.jneurosci.org/content/41/8/1802.abstract" rel="nofollow">Foster JJ, Thyer W, Wennberg JW, Awh E (2021). Covert attention increases the gain of stimulus-evoked population codes. Journal of Neuroscience, 41(8) 1802-1815.</a></p> <p><strong>Usage:</strong> If you would like to use the data in a published work, please cite both the paper and the OSF data set (see the top-right corner of the main project page for the citation).</p> <p><strong>Getting started</strong> </p> <p>Some of these components contain a lot of data, so I recommend only downloading what you need. The best place to start is by downloading the <a href="https://osf.io/8s27k/" rel="nofollow">Analysis Code</a> (all code for our analyses), <a href="https://osf.io/rf7nh/" rel="nofollow">Analysis Files</a> (output files from our analysis), and <a href="https://osf.io/taqvh/" rel="nofollow">Compiled Data</a> (the preprocessed data). These components contain all that you need to reproduce our figures or re-run our analyses from scratch.</p> <p>Each component that you download should be saved to the same directory because the analysis scripts assume that the "AnalysisFiles" folder and "CompiledData" folder live in the same directory as the "Foster_AttnEvokedActivity" folder that contains the analysis code.</p> <p>You can find all the raw data files in the Raw Data component. You may need to look at the code used to run the experiments (see <a href="https://osf.io/4dfkj/" rel="nofollow">Task Code</a>) to make sense of the raw data files. The <a href="https://osf.io/5m6ca/" rel="nofollow">Preprocessing</a> component contains the code used that we used preprocess the raw data, although you may preferto use your own preprocessing routines.</p> <p>For further questions, you can email me at jjfoster@bu.edu</p>
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