Department of Neuroscience and Neuroscience Graduate Group, University of Pennsylvania, Philadelphia, United States.
Elife. 2020 Nov 27;9:e60535. doi: 10.7554/eLife.60535.
Many decisions require trade-offs between sensory evidence and internal preferences. Potential neural substrates include the frontal eye field (FEF) and caudate nucleus, but their distinct roles are not understood. Previously we showed that monkeys' decisions on a direction-discrimination task with asymmetric rewards reflected a biased accumulate-to-bound decision process (Fan et al., 2018) that was affected by caudate microstimulation (Doi et al., 2020). Here we compared single-neuron activity in FEF and caudate to each other and to accumulate-to-bound model predictions derived from behavior. Task-dependent neural modulations were similar in both regions. However, choice-selective neurons in FEF, but not caudate, encoded behaviorally derived biases in the accumulation process. Baseline activity in both regions was sensitive to reward context, but this sensitivity was not reliably associated with behavioral biases. These results imply distinct contributions of FEF and caudate neurons to reward-biased decision-making and put experimental constraints on the neural implementation of accumulation-to-bound-like computations.
许多决策都需要在感官证据和内部偏好之间进行权衡。潜在的神经基质包括额眼区(FEF)和尾状核,但它们的具体作用尚不清楚。之前我们发现,猴子在一项具有不对称奖励的方向辨别任务中的决策反映了一种偏向于累积到边界的决策过程(Fan 等人,2018 年),该过程受到尾状核微刺激的影响(Doi 等人,2020 年)。在这里,我们比较了 FEF 和尾状核中的单个神经元活动彼此之间以及与从行为中得出的累积到边界模型预测之间的关系。在两个区域中,与任务相关的神经调节相似。然而,在 FEF 中选择选择性神经元,但不在尾状核中,编码了累积过程中的行为衍生偏差。两个区域的基线活动都对奖励环境敏感,但这种敏感性与行为偏差没有可靠的关联。这些结果表明 FEF 和尾状核神经元对奖励偏向的决策有不同的贡献,并对累积到边界样计算的神经实现提出了实验限制。