Journal article 1475 views 199 downloads
Surface diagnosticity predicts the high-level representation of regular and irregular object shape in human vision
Attention, Perception, & Psychophysics, Pages: 1 - 20
Swansea University Author:
Irene Reppa
-
PDF | Version of Record
Released under the terms of a Creative Commons Attribution 4.0 International License (CC-BY).
Download (1.21MB)
DOI (Published version): 10.3758/s13414-019-01698-4
Abstract
Surface diagnosticity predicts the high-level representation of regular and irregular object shape in human vision
| Published in: | Attention, Perception, & Psychophysics |
|---|---|
| ISSN: | 1943-3921 1943-393X |
| Published: |
2019
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa48936 |
| first_indexed |
2019-02-21T14:07:46Z |
|---|---|
| last_indexed |
2020-09-10T03:11:21Z |
| id |
cronfa48936 |
| recordtype |
SURis |
| fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2020-09-09T08:40:19.3303744</datestamp><bib-version>v2</bib-version><id>48936</id><entry>2019-02-21</entry><title>Surface diagnosticity predicts the high-level representation of regular and irregular object shape in human vision</title><swanseaauthors><author><sid>7824f127c16603af4e08530245a62400</sid><ORCID>0000-0002-2853-2311</ORCID><firstname>Irene</firstname><surname>Reppa</surname><name>Irene Reppa</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2019-02-21</date><deptcode>PSYS</deptcode><abstract/><type>Journal Article</type><journal>Attention, Perception, & Psychophysics</journal><paginationStart>1</paginationStart><paginationEnd>20</paginationEnd><publisher/><issnPrint>1943-3921</issnPrint><issnElectronic>1943-393X</issnElectronic><keywords/><publishedDay>7</publishedDay><publishedMonth>7</publishedMonth><publishedYear>2019</publishedYear><publishedDate>2019-07-07</publishedDate><doi>10.3758/s13414-019-01698-4</doi><url/><notes/><college>COLLEGE NANME</college><department>Psychology School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>PSYS</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2020-09-09T08:40:19.3303744</lastEdited><Created>2019-02-21T09:12:56.4552189</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">School of Psychology</level></path><authors><author><firstname>Irene</firstname><surname>Reppa</surname><orcid>0000-0002-2853-2311</orcid><order>1</order></author><author><firstname>E. Charles</firstname><surname>Leek</surname><order>2</order></author></authors><documents><document><filename>0048936-18032019145224.pdf</filename><originalFilename>48936v2.pdf</originalFilename><uploaded>2019-03-18T14:52:24.4330000</uploaded><type>Output</type><contentLength>1376354</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><embargoDate>2019-03-17T00:00:00.0000000</embargoDate><documentNotes>Released under the terms of a Creative Commons Attribution 4.0 International License (CC-BY).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807> |
| spelling |
2020-09-09T08:40:19.3303744 v2 48936 2019-02-21 Surface diagnosticity predicts the high-level representation of regular and irregular object shape in human vision 7824f127c16603af4e08530245a62400 0000-0002-2853-2311 Irene Reppa Irene Reppa true false 2019-02-21 PSYS Journal Article Attention, Perception, & Psychophysics 1 20 1943-3921 1943-393X 7 7 2019 2019-07-07 10.3758/s13414-019-01698-4 COLLEGE NANME Psychology School COLLEGE CODE PSYS Swansea University 2020-09-09T08:40:19.3303744 2019-02-21T09:12:56.4552189 Faculty of Medicine, Health and Life Sciences School of Psychology Irene Reppa 0000-0002-2853-2311 1 E. Charles Leek 2 0048936-18032019145224.pdf 48936v2.pdf 2019-03-18T14:52:24.4330000 Output 1376354 application/pdf Version of Record true 2019-03-17T00:00:00.0000000 Released under the terms of a Creative Commons Attribution 4.0 International License (CC-BY). true eng |
| title |
Surface diagnosticity predicts the high-level representation of regular and irregular object shape in human vision |
| spellingShingle |
Surface diagnosticity predicts the high-level representation of regular and irregular object shape in human vision Irene Reppa |
| title_short |
Surface diagnosticity predicts the high-level representation of regular and irregular object shape in human vision |
| title_full |
Surface diagnosticity predicts the high-level representation of regular and irregular object shape in human vision |
| title_fullStr |
Surface diagnosticity predicts the high-level representation of regular and irregular object shape in human vision |
| title_full_unstemmed |
Surface diagnosticity predicts the high-level representation of regular and irregular object shape in human vision |
| title_sort |
Surface diagnosticity predicts the high-level representation of regular and irregular object shape in human vision |
| author_id_str_mv |
7824f127c16603af4e08530245a62400 |
| author_id_fullname_str_mv |
7824f127c16603af4e08530245a62400_***_Irene Reppa |
| author |
Irene Reppa |
| author2 |
Irene Reppa E. Charles Leek |
| format |
Journal article |
| container_title |
Attention, Perception, & Psychophysics |
| container_start_page |
1 |
| publishDate |
2019 |
| institution |
Swansea University |
| issn |
1943-3921 1943-393X |
| doi_str_mv |
10.3758/s13414-019-01698-4 |
| college_str |
Faculty of Medicine, Health and Life Sciences |
| hierarchytype |
|
| hierarchy_top_id |
facultyofmedicinehealthandlifesciences |
| hierarchy_top_title |
Faculty of Medicine, Health and Life Sciences |
| hierarchy_parent_id |
facultyofmedicinehealthandlifesciences |
| hierarchy_parent_title |
Faculty of Medicine, Health and Life Sciences |
| department_str |
School of Psychology{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}School of Psychology |
| document_store_str |
1 |
| active_str |
0 |
| published_date |
2019-07-07T04:34:23Z |
| _version_ |
1851366271202885632 |
| score |
11.089572 |

