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<p>This project contains the raw data on which this paper is based:</p> <p><strong><em>J.Minxha, R.Adolphs, S.Fusi, A.N.Mamelak, U.Rutishauser. Flexible recruitment of memory-based choice representations by human medial-frontal cortex. Science 2020, in press .</em></strong></p> <p>See the file <a href="https://osf.io/2fn7j/" rel="nofollow">README.m</a> for a description of the data structures and code included.</p> <p>We used the open source toolboxes <a href="http://rutishauserlab.org/osort" rel="nofollow">OSort</a> for pre-processing and spike-sorting, <a href="http://www.fieldtriptoolbox.org/" rel="nofollow">Fieldtrip</a> for LFP processing and spike-field coherence analysis, <a href="http://rutishauserlab.org/nlxtools" rel="nofollow">NlxTools</a> to import raw data, and <a href="https://users.ece.cmu.edu/~byronyu/software/DataHigh/datahigh.html" rel="nofollow">DataHigh</a> for state space analysis. Everything else was implemented using standard MATLAB functionality (including all SVM-based decoding).</p> <p>This work has been made possible by grants from the National Institutes of Health (NIMH R01MH110831; The NIH BRAIN initiative U01NS103792; the National Science Foundation CAREER BCS-1554105; and a Memory&Cognitive Disorders Award from the McKnight Endowment for the Neurosciences).</p>
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