leaps_online_data_0.zip

Raw-data and data description for the following paper:<div><br></div><div> p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 11.0px Helvetica} p.p2 {margin: 0.0px 0.0px 0.0px 0.0px; font: 10.0px Helvetica} span.s1 {font: 6.5px Helvetica} <p><b>Creative Foraging: an Experimental Paradigm for Studying Exploration and</b></p> <p><b>Discovery</b></p> <p><br></p><p>Yuval Hart, Avraham E Mayo, Ruth Mayo, Liron Rozenkrantz, Avichai Tendler, Uri Alon*, and Lior Noy*</p><p><br></p><p>PLOS ONE, 2017 (Under Review)</p></div><div> </div

Mirror Game - CC Measure

Code used in the Mirror Game project to automatically detect Co-Confidence (CC) motion. See details in (Noy, Binun &Golland, 2015).<div><br></div><div>The code is published here in order to describe the exact details of the alogrithm. Some of the functions might need other toolboxes to run. I tried to put all needed functions here, contact me if something is missing.</div><div><br></div><div>The two main function that compute the CC detection are:</div><div>MG_Tools_CC_AZC</div><div>MG_Tools_Segments_Acc_Zero_Cross</div><div><br></div><div>See inside the code for detailed information</div><div><br><div><br></div><div><br></div><div><br></div><div><br></div><div><br></div><div><br></div><div><br></div><div><br></div><div>Ref:</div><div><br></div><div><h3>L. Noy, N. Levit-Binun, and Y. Golland, “Being in the zone: physiological markers of togetherness in joint improvisation”, <b>Frontiers in Human Neuroscience</b>, 9:187, <b>2015</b> <br></h3></div></div

Mirror Game Wavelet-Complexity Measure

This is part of Matlab code used ot analyze 1D Mirror-Game data. These functions performed the 'wavelet-complexity-raio' compuation. See details in Noy, Dekel, Alon, PNAS 2011.<div><br></div><div>This code use Matlab-Wavelet-Toolbox</div><div><br></div><div>Copyright (c) 2008 Gabriel Peyre<br></div><div><br></div><div>https://www.mathworks.com/matlabcentral/fileexchange/5104-toolbox-wavelets?focused=5134594&tab=example<br></div