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<h1>Large-scale boundary transformation database</h1> <p><a href="http://wilmabainbridge.com" rel="nofollow">Wilma A. Bainbridge</a>, <a href="https://www.nimh.nih.gov/research/research-conducted-at-nimh/research-areas/clinics-and-labs/lbc/slp/index.shtml" rel="nofollow">Chris I. Baker</a></p> <p>National Institute of Mental Health, Bethesda, MD</p> <hr> <p><strong>If you use any of these data, please cite:</strong></p> <p>Bainbridge, W.A. & Baker, C.I. (2020). Boundaries extend and contract in scene memory depending on image properties. Current Biology, 30.</p> <hr> <p>This repository contains the following data:</p> <ol> <li><a href="https://osf.io/28nzt/wiki/1000-Images%20Set:%20Images/" rel="nofollow">1000 Images used in the 1000-Image Set Experiment</a></li> <li><a href="https://osf.io/28nzt/wiki/1000-Images%20Set:%20Boundary%20Transformation%20Scores/" rel="nofollow">Boundary Transformation scores from ~2000 participants on the 1000 Images</a>, in an RSVP recognition paradigm</li> <li><a href="https://osf.io/28nzt/wiki/1000-Images%20Set:%20Image%20Metrics/" rel="nofollow">Image metrics for each of the 1000 images</a>: # of objects , average object size, average object centricity, average subjective distance (depth)</li> <li><a href="https://osf.io/28nzt/wiki/60-Images%20Set:%20Boundary%20Transformation%20Scores/" rel="nofollow">Boundary transformation scores for a smaller set of 60 images</a>, including scores from an RSVP recognition paradigm as well as a memory drawing and copying drawing task.</li> <li><strong>Added 8/24/20</strong>: <a href="https://osf.io/28nzt/wiki/60-Images%20Set:%20Immediate%20Recall/" rel="nofollow">Boundary transformation scores for immediate recall of the 60 images</a>. Participants drew images immediately after study, and these drawings were scored online for boundary transformations.</li> </ol>
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