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Forrest Koch (forrest.koch@unsw.edu.au)
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These scripts implement a modified version of the facename task outlined by Sperling (2001) and Fleisher (2009). The task consists of alternating novel and known blocks each separated by a 20 second fixation block. Each block consists of 6 trials in which the stimulus is presented for 5 seconds followed by a 0.8 second fixation. During the Novel blocks, participants are asked to indicate whether the face 'fits' the name in order to maintain concentration on the task (ref needed). During the Known blocks, the participants are asked to select between two names indicating the correct name.
These scripts are written on top of the PyschoPy software package developed and maintined by Jon Pierce. Note that it is released under the GNU General Public License (version 3). If you publish work using these scripts, don't forget to cite him (see the references at the end of this document).
The stimuli for these scripts were obtained from the Chicago Face Database. Again, if you publish work as a result of these scripts, don't forget to cite them (see the references at the end of this document).
You are welcome to use and/or redistribute this code so long as you reference me and the references at the end of this document.
Fleisher, A. S., Sherzai, A., Taylor, C., Langbaum, J. B., Chen, K., & Buxton, R. B. (2009). Resting-state BOLD networks versus task-associated functional MRI for distinguishing Alzheimer's disease risk groups. Neuroimage, 47(4), 1678-1690.
Ma, Correll, & Wittenbrink (2015). The Chicago Face Database: A Free Stimulus Set of Faces and Norming Data. Behavior Research Methods, 47, 1122-1135.
Peirce, JW (2007) PsychoPy - Psychophysics software in Python. J Neurosci Methods, 162(1-2):8-13
Sperling, R. A., Bates, J. F., Cocchiarella, A. J., Schacter, D. L., Rosen, B. R., & Albert, M. S. (2001). Encoding novel face‐name associations: a functional MRI study. Human brain mapping, 14(3), 129-139.