ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2020
Confluence of Timing and Reward Biases in Perceptual Decision-Making Dynamics.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Article
- Time-adaptive modulation of evidence evaluation in rat posterior parietal cortex.bioRxiv : the preprint server for biology · 2025Article
- Should I Stay or Should I Go? Cognitive Modeling of Left-Turn Gap Acceptance Decisions in Human Drivers.Human factors · 2024Article
- Drift-diffusion modeling reveals that masked faces are preconceived as unfriendly.Scientific reports · 2023Article
- Accounting for endogenous effects in decision-making with a non-linear diffusion decision model.Scientific reports · 2023Article
- Article
- Article
- Transient neuronal suppression for exploitation of new sensory evidence.Nature communications · 2022Article
- Accumulation of evidence during decision making in OCD patients.Frontiers in psychiatry · 2022Article
- Timescales of Cognition in the Brain.Current opinion in behavioral sciences · 2021Article
- Accumulation of continuously time-varying sensory evidence constrains neural and behavioral responses in human collision threat detection.PLoS computational biology · 2021Article
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Although the decisions of our daily lives often occur in the context of temporal and reward structures, the impact of such regularities on decision-making strategy is poorly understood. Here, to explore how temporal and reward context modulate strategy, we trained 2 male rhesus monkeys to perform a novel perceptual decision-making task with asymmetric rewards and time-varying evidence reliability. To model the choice and response time patterns, we developed a computational framework for fitting generalized drift-diffusion models, which flexibly accommodate diverse evidence accumulation strategies. We found that a dynamic urgency signal and leaky integration, in combination with two independent forms of reward biases, best capture behavior. We also tested how temporal structure influences urgency by systematically manipulating the temporal structure of sensory evidence, and found that the time course of urgency was affected by temporal context. Overall, our approach identified key components of cognitive mechanisms for incorporating temporal and reward structure into decisions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.