Multiple timescales of learning indicated by changes in evidence-accumulation processes during perceptual decision-making.

Autor: Cochrane A; University of Geneva, Geneva, Switzerland. aaron_cochrane@brown.edu.; Campus Biotech, Geneva, Switzerland. aaron_cochrane@brown.edu.; Brown University, Providence, RI, USA. aaron_cochrane@brown.edu., Sims CR; Rensselaer Polytechnic Institute, Troy, NY, USA., Bejjanki VR; Hamilton College, Clinton, NY, USA., Green CS; University of Wisconsin-Madison, Madison, WI, USA., Bavelier D; University of Geneva, Geneva, Switzerland.; Campus Biotech, Geneva, Switzerland.
Jazyk: angličtina
Zdroj: NPJ science of learning [NPJ Sci Learn] 2023 Jun 08; Vol. 8 (1), pp. 19. Date of Electronic Publication: 2023 Jun 08.
DOI: 10.1038/s41539-023-00168-9
Abstrakt: 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.
(© 2023. The Author(s).)
Databáze: MEDLINE
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