TY - JOUR TI - Ongoing, rational calibration of reward-driven perceptual biases AU - Fan, Yunshu AU - Gold, Joshua I AU - Ding, Long A2 - Latham, Peter A2 - Ivry, Richard B VL - 7 PY - 2018 DA - 2018/10/10 SP - e36018 C1 - eLife 2018;7:e36018 DO - 10.7554/eLife.36018 UR - https://doi.org/10.7554/eLife.36018 AB - Decision-making is often interpreted in terms of normative computations that maximize a particular reward function for stable, average behaviors. Aberrations from the reward-maximizing solutions, either across subjects or across different sessions for the same subject, are often interpreted as reflecting poor learning or physical limitations. Here we show that such aberrations may instead reflect the involvement of additional satisficing and heuristic principles. For an asymmetric-reward perceptual decision-making task, three monkeys produced adaptive biases in response to changes in reward asymmetries and perceptual sensitivity. Their choices and response times were consistent with a normative accumulate-to-bound process. However, their context-dependent adjustments to this process deviated slightly but systematically from the reward-maximizing solutions. These adjustments were instead consistent with a rational process to find satisficing solutions based on the gradient of each monkey’s reward-rate function. These results suggest new dimensions for assessing the rational and idiosyncratic aspects of flexible decision-making. KW - perceptual decision KW - saccade KW - motion discrimination KW - reward bias KW - non-human primate KW - drift diffusion JF - eLife SN - 2050-084X PB - eLife Sciences Publications, Ltd ER -