highly superior autobiographical memory: quality and quantity of retention over time
Clicks: 311
ID: 207814
2016
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
311 views
63 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #157 of 1,131 articles by views in accounts of chemical research
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,131 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Individuals who have Highly Superior Autobiographical Memory (HSAM) are able to recall, with considerable accuracy, details of daily experiences that occurred over many previous decades. The present study parametrically investigates the quantity and quality of details of autobiographical memories acquired one-week, one-month, one-year, and ten-years prior in HSAMs and controls. In addition, we tested the consistency of details provided at the one-week delay by testing the subjects one month later with a surprise assessment. At the one-week delay, HSAMs and controls recalled an equivalent number of events. In contrast, HSAM recall performance was superior at more remote delays, with remarkable consistency following a one-month delay. Further, we revealed a relationship between the consistency of recall and HSAMs’ obsessive-compulsive tendencies. These data suggest that HSAMs experience normal encoding, yet enhanced consolidation and later recall of autobiographical events.
| Reference Key |
leport2016frontiershighly
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Aurora KR LePort;Shauna M Stark;James L. McGaugh;Craig EL Stark |
| Journal | accounts of chemical research |
| Year | 2016 |
| DOI |
10.3389/fpsyg.2015.02017
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.