Distraction biases working memory for faces
Bibliographic Data
| ID | 21640505 |
|---|---|
| Authors | Richard Mallett (0000-0001-6183-3098, The University of Texas at Austin, corresponding author), Anurima Mummaneni (0000-0003-0661-0101, Westwood College), Jarrod A Lewis-Peacock, Jarrod A Lewis‐Peacock (0000-0002-9918-465X, The University of Texas at Austin) |
| Year | 2020 |
| Volume | 27 |
| Issue | 2 |
| Pages | 350-356 |
| Publication date | 2020-04-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Psychonomic Bulletin & Review (JOURNAL) |
| Journal identifiers | ISSN: 1069-9384 • E-ISSN: 1531-5320 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.3758/s13423-019-01707-5 |
| PMID | 31907852 |
| OpenAlex | W2999103941 |
| Language | EN |
| Citations received | 7 |
| References cited | 70 |
Cognition · Cognitive psychology · Distraction · Face perception · Perception · Visual memory · Visual perception · Working memory · Computer Science · Face Recognition and Perception · Memory and Neural Mechanisms · Neural and Behavioral Psychology Studies · Neuroscience · Psychology
Familiarity enhances mnemonic precision but impairs mnemonic accuracy in visual working memory
Distractors serve as a reference point in the bias of Targets’ visual working memory
The impact of emotional face distractors on working memory performance
Shielding working-memory representations from temporally predictable external interference
Bend but don't break
A single perceptual comparison is sufficient, but not necessary, to induce lasting memory distortion
The passive storage of negative facial expressions in working memory does not affect the active state storage
Understanding The New Statistics
Serial dependence in visual perception
Pingouin
PsychoPy—Psychophysics software in Python
What is "special" about face perception?
Adaptation to natural facial categories
The Cognitive Neuroscience of Working Memory
What happens to an individual visual working memory representation when it is interrupted
Insights into the development of face recognition mechanisms revealed by face aftereffects
| Citations per year | 1.4 |
|---|---|
| Citation span | 2021 - 2026 (6) |
| Highly cited | No |