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Learning Affects the Spatial Frequency Content of Mental Representations for Dynamic Faces

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84141

Pilz,  KS
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons83839

Bülthoff,  HH
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons84291

Vuong,  QC
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Pilz, K., Bülthoff, H., & Vuong, Q. (2007). Learning Affects the Spatial Frequency Content of Mental Representations for Dynamic Faces. Poster presented at 10th Tübinger Wahrnehmungskonferenz (TWK 2007), Tübingen, Germany.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-CCE7-E
Abstract
Using a delayed visual search paradigm, we showed that non-rigidly moving faces are better encoded than static faces [1]. In this task, observers learned one dynamic and one static face, and then searched for either target in a static search array. Here, we used high (HSF) and low (LSF) frequency filtered faces during visual search to investigate whether the behavioural difference lies in the mental representation of different spatial frequencies for dynamically and statically encoded faces. It is thought that high spatial frequencies mediate featural processing, whereas low spatial frequencies mediate configural processing [2]. In Experiment 1 (N=12), we used a learning procedure which only required observers to rate the targets along different character traits. We found no advantage for dynamically learned faces, but HSF faces were recognized more accurately (p