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Modelling Prosaccade Latencies across Multiple Decision-Making Tasks
Neuroscience ( IF 3.3 ) Pub Date : 2020-11-24 , DOI: 10.1016/j.neuroscience.2020.11.022
Andrew J. Anderson , Nikolaos Smyrnis , Imran Noorani , R.H.S. Carpenter

Oculomotor decision making can be investigated by a simple step task, where a person decides whether a target has jumped to the left or the right. More complex tasks include the countermanding task (look at the jumped target, except when a subsequent signal instructs you not to) and the Wheeless task (where the jumped target sometimes then quickly jumps to a new location). Different instantiations of the LATER (Linear Approach to Threshold with Ergodic Rate) model have been shown to explain the saccadic latency data arising from these tasks, despite it being almost inconceivable that completely separate decision-making mechanisms exist for each. However, these models have an identical construction with regards to predicting prosaccadic responses (all step task trials, and control trials in countermanding and Wheeless tasks, where no countermanding signal is given or when the target does not make a second jump). We measured saccadic latencies for 23 human observers each performing the three tasks, and modelled prosaccade latencies with LATER to see if model parameters were usefully preserved across tasks. We found no significant difference in reaction times and model parameters between the step and Wheeless tasks (mean 175 and 177 ms, respectively; standard deviation, SD 22 and 24 ms). In contrast, we identified prolonged latencies in the countermanding tasks (236 ms; SD 37 ms) explained by a slower rise and an elevated threshold of the decision making signal, suggesting elevated participant caution. Our findings support the idea that common machinery exists for oculomotor decision-making, which can be flexibly deployed depending upon task demands.



中文翻译:

跨多个决策任务对Prosaccade延迟进行建模

动眼决策可以通过一个简单的步骤来研究,其中一个人决定目标是向左跳还是向右跳。更复杂的任务包括反任务(查看被跳跃的目标,除非随后的信号指示您不要这样做)和Wheeless任务(被跳跃的目标有时有时会迅速跳至新位置)。已经显示了LATER(具有遍历率的阈值线性方法)模型的不同实例来解释由这些任务引起的书呆滞后时间数据,尽管几乎无法想象每个任务都存在完全独立的决策机制。但是,这些模型在预测顺义反应方面具有相同的结构(所有步骤任务试验,以及反任务和Wheeless任务的对照试验,没有发出反击信号或目标没有第二次跳跃的地方)。我们测量了分别执行这三个任务的23位人类观察者的眼跳潜伏期,并使用LATER对蜂巢潜伏期进行了建模,以查看模型参数是否在各个任务之间得到了有效保存。我们发现,步骤和Wheeless任务之间的反应时间和模型参数没有显着差异(分别为175和177 ms;标准偏差,SD 22和24 ms)。相比之下,我们发现反任务任务的延迟时间较长(236 ms; SD为37 ms),原因是决策信号的上升速度较慢和阈值升高,提示参与者谨慎。我们的发现支持这样一种想法,即存在用于动眼神经决策的通用机制,可以根据任务需求灵活部署。

更新日期:2020-12-10
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