Title |
Integrating predictive frameworks and cognitive models of face perception
|
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Published in |
Psychonomic Bulletin & Review, February 2018
|
DOI | 10.3758/s13423-018-1433-x |
Pubmed ID | |
Authors |
Sabrina Trapp, Stefan R. Schweinberger, William G. Hayward, Gyula Kovács |
Abstract |
The idea of a "predictive brain"-that is, the interpretation of internal and external information based on prior expectations-has been elaborated intensely over the past decade. Several domains in cognitive neuroscience have embraced this idea, including studies in perception, motor control, language, and affective, social, and clinical neuroscience. Despite the various studies that have used face stimuli to address questions related to predictive processing, there has been surprisingly little connection between this work and established cognitive models of face recognition. Here we suggest that the predictive framework can serve as an important complement of established cognitive face models. Conversely, the link to cognitive face models has the potential to shed light on issues that remain open in predictive frameworks. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 63 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 10 | 16% |
Student > Master | 10 | 16% |
Student > Bachelor | 7 | 11% |
Professor | 4 | 6% |
Researcher | 4 | 6% |
Other | 14 | 22% |
Unknown | 14 | 22% |
Readers by discipline | Count | As % |
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Psychology | 26 | 41% |
Neuroscience | 6 | 10% |
Engineering | 3 | 5% |
Linguistics | 2 | 3% |
Philosophy | 2 | 3% |
Other | 6 | 10% |
Unknown | 18 | 29% |