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- Publisher Website: 10.3758/s13423-018-1433-x
- Scopus: eid_2-s2.0-85041550563
- PMID: 29423572
- WOS: WOS:000451467600003
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Article: Integrating predictive frameworks and cognitive models of face perception
Title | Integrating predictive frameworks and cognitive models of face perception |
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Authors | |
Keywords | Process model Representation Prior Template |
Issue Date | 2018 |
Publisher | Springer New York LLC. The Journal's web site is located at https://www.springer.com/journal/13423 |
Citation | Psychonomic Bulletin & Review, 2018, v. 25 n. 6, p. 2016-2023 How to Cite? |
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. |
Persistent Identifier | http://hdl.handle.net/10722/293510 |
ISSN | 2023 Impact Factor: 3.2 2023 SCImago Journal Rankings: 1.753 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Trapp, S | - |
dc.contributor.author | Schweinberger, SR | - |
dc.contributor.author | Hayward, WG | - |
dc.contributor.author | Kovacs, G | - |
dc.date.accessioned | 2020-11-23T08:17:49Z | - |
dc.date.available | 2020-11-23T08:17:49Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Psychonomic Bulletin & Review, 2018, v. 25 n. 6, p. 2016-2023 | - |
dc.identifier.issn | 1069-9384 | - |
dc.identifier.uri | http://hdl.handle.net/10722/293510 | - |
dc.description.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. | - |
dc.language | eng | - |
dc.publisher | Springer New York LLC. The Journal's web site is located at https://www.springer.com/journal/13423 | - |
dc.relation.ispartof | Psychonomic Bulletin & Review | - |
dc.rights | This is a post-peer-review, pre-copyedit version of an article published in [insert journal title]. The final authenticated version is available online at: https://doi.org/[insert DOI] | - |
dc.subject | Process model | - |
dc.subject | Representation | - |
dc.subject | Prior | - |
dc.subject | Template | - |
dc.title | Integrating predictive frameworks and cognitive models of face perception | - |
dc.type | Article | - |
dc.identifier.email | Hayward, WG: whayward@hkucc.hku.hk | - |
dc.identifier.authority | Hayward, WG=rp00630 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.3758/s13423-018-1433-x | - |
dc.identifier.pmid | 29423572 | - |
dc.identifier.scopus | eid_2-s2.0-85041550563 | - |
dc.identifier.hkuros | 320201 | - |
dc.identifier.volume | 25 | - |
dc.identifier.issue | 6 | - |
dc.identifier.spage | 2016 | - |
dc.identifier.epage | 2023 | - |
dc.identifier.isi | WOS:000451467600003 | - |
dc.publisher.place | United States | - |