NotesFAQContact Us
Collection
Advanced
Search Tips
Back to results
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ1431821
Record Type: Journal
Publication Date: 2023
Pages: 10
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2056-7936
Multiple Timescales of Learning Indicated by Changes in Evidence-Accumulation Processes during Perceptual Decision-Making
Aaron Cochrane; Chris R. Sims; Vikranth R. Bejjanki; C. Shawn Green; Daphne Bavelier
npj Science of Learning, v8 Article 19 2023
Evidence accumulation models have enabled strong advances in our understanding of decision-making, yet their application to examining learning has not been common. Using data from participants completing a dynamic random dot-motion direction discrimination task across four days, we characterized alterations in two components of perceptual decision-making (Drift Diffusion Model drift rate and response boundary). Continuous-time learning models were applied to characterize trajectories of performance change, with different models allowing for varying dynamics. The best-fitting model included drift rate changing as a continuous, exponential function of cumulative trial number. In contrast, response boundary changed within each daily session, but in an independent manner across daily sessions. Our results highlight two different processes underlying the pattern of behavior observed across the entire learning trajectory, one involving a continuous tuning of perceptual sensitivity, and another more variable process describing participants' threshold of when enough evidence is present to act.
Nature Portfolio. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://www.nature.com/npjscilearn/
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: Office of Naval Research (ONR) (DOD)
Authoring Institution: N/A
Grant or Contract Numbers: N000142012074; N000141712049