Single trial-based prediction of a go/no-go decision in monkey superior colliculus
Single trial-based prediction of a go/no-go decision in monkey superior colliculus
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DOI：
10.1016/j.neunet.2006.05.035
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发表时间：
2006-10
期刊：
影响因子：
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通讯作者：
R. Hasegawa;Y. Hasegawa;M. Segraves
中科院分区：
文献类型：
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作者：
R. Hasegawa;Y. Hasegawa;M. Segraves
虽然一些决策过程通常会导致产生可观察到的动作，例如眼睛或肢体运动，但其他决策过程可能会阻止动作，并且在没有明显行为反应的情况下发生。为了理解这些决定是如何做出的，我们必须直接观察它们的神经基质。我们训练两只猴子进行一项去/不去任务，该任务需要对外围线索刺激（去）或维持固定（不去）进行眼跳。我们进行了二元回归的单神经元的活动在上级丘（SC），与去/不去的决定作为预测变量，并构建了一个虚拟的决策函数（VDF），旨在提供一个很好的估计的决定内容和它的时间在一个单一的试验决策过程。VDF的事后分析在80%以上的试验中正确预测了猴子的选择。这些结果表明，SC活动的监测有足够的能力来预测去/不去的决定，在一个试验的基础上。
While some decision-making processes often result in the generation of an observable action, for example eye or limb movements, others may prevent actions and occur without an overt behavioral response. To understand how these decisions are made, one must look directly at their neuronal substrates. We trained two monkeys on a go/no-go task which requires a saccade to a peripheral cue stimulus (go) or maintenance of fixation (no-go). We performed binary regressions on the activity of single neurons in the superior colliculus (SC), with the go/no-go decision as a predictor variable, and constructed a virtual decision function (VDF) designed to provide a good estimation of decision content and its timing in a single trial decision process. Post hoc analyses by VDF correctly predicted the monkey’s choice in more than 80% of trials. These results suggest that monitoring of SC activity has sufficient capacity to predict go/no-go decisions on a trial-by-trial basis.