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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

emporal dynamics of implicit memory underlying serial dependenc

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Bilacchi, Cristiano Moraes [1] ; Pupo Sirius, Esau Ventura [1] ; Cravo, Andre Mascioli [1] ; de Azevedo Neto, Raymundo Machado [2]
Total Authors: 4
[1] Fed Univ ABC UFABC, Ctr Math Comp & Cognit, Sao Paulo - Brazil
[2] Hosp Israelita Albert Einstein, Brain Inst, Sao Paulo - Brazil
Total Affiliations: 2
Document type: Journal article
Source: MEMORY & COGNITION; v. 50, n. 2 AUG 2021.
Web of Science Citations: 0

Serial dependence is the effect in which the immediately preceding trial influences participants' responses to the current stimulus. But for how long does this bias last in the absence of interference from other stimuli? Here, we had 20 healthy young adult participants (12 women) perform a coincident timing task using different inter-trial intervals to characterize the serial dependence effect as the time between trials increases. Our results show that serial dependence abruptly decreases from 0.1 s to 1 s inter-trial interval, but it remains pronounced after that for up to 8 s. In addition, participants' response variability slightly decreases over longer intervals. We discuss these results in light of recent models suggesting that serial dependence might rely on a short-term memory trace kept through changes in synaptic weights, which might explain its long duration and apparent stability over time. (AU)

FAPESP's process: 17/25161-8 - The representation of temporal information in neural activity
Grantee:André Mascioli Cravo
Support type: Regular Research Grants
FAPESP's process: 19/06423-7 - Implicit short-term memory and uncertainty in visuomotor integration and temporal information processing
Grantee:Esaú Sirius Ventura Pupo
Support type: Scholarships in Brazil - Doctorate
FAPESP's process: 18/08318-3 - Implicit short-term memory and uncertainty in visuomotor integration
Grantee:Raymundo Machado de Azevedo Neto
Support type: Scholarships in Brazil - Post-Doctorate