Journal article 134 views
Temporal and spatial ensemble statistics are formed by distinct mechanisms
Haojiang Ying 
,
Edwin Burns ,
Amanda M. Choo,
Hong Xu
,
Edwin Burns ,
Amanda M. Choo,
Hong Xu
Cognition, Volume: 195, Start page: 104128
Swansea University Author:
Edwin Burns
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1016/j.cognition.2019.104128
Abstract
Temporal and spatial ensemble statistics are formed by distinct mechanisms
| Published in: | Cognition |
|---|---|
| ISSN: | 0010-0277 |
| Published: |
Elsevier BV
2020
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa66625 |
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| Keywords: |
Rapid serial visual presentation; Adaptation; Ensemble statistics; Face; Attractiveness |
|---|---|
| College: |
Faculty of Medicine, Health and Life Sciences |
| Funders: |
Supported by Nanyang Technological University Research Scholarship (HY), Undergraduate Research Experience on Campus (AC), College of Arts, Humanities and Social Sciences Incentive Scheme (HX), and Ministry of Education - Singapore Academic Research Fund (AcRF) Tier 1 (HX). H. Ying is also supported by the Ministry of Education - China Project of Humanities and Social Sciences (
19YJC190030
), the City & University strategy-Soochow University Leading Research Team in Humanities and Social Sciences. Parts of this research (data from Exp 1) were presented at the Annual Meeting of Visual Science Society (VSS), May 2017, St. Pete Beach, Florida. The research reported here forms part of H. Ying's Ph.D. thesis at Nanyang Technological University. |
| Start Page: |
104128 |