Decoding and perturbing decision states in real time
Decoding and perturbing decision states in real time
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DOI：
10.1038/s41586-020-03181-9
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发表时间：
2021-01-20
期刊：
影响因子：
64.8
通讯作者：
Newsome, William T.
中科院分区：
文献类型：
--
作者：
Peixoto, Diogo;Verhein, Jessica R.;Newsome, William T.
在动态环境中，受试者经常整合一个信号的多个样本，并将它们组合起来得出一个明确的判断(1)。深思熟虑的过程可以用一个时变的决策变量(DV)来描述，该变量从神经群体活动中解码，预测受试者即将做出的决定(2)。然而，在单项试验中，DV存在巨大的瞬间波动，其行为意义尚不清楚。在这里，使用对刺激持续时间的实时神经反馈控制，我们表明，从运动皮质解码的试验内DV波动与猕猴的决策状态密切相关，预测行为选择比条件平均DV或单独的视觉刺激要好得多。此外，DV标志的强健变化具有心理变化的行为研究所期望的统计规律(3)。在具有弱刺激脉冲的单次试验上探索决策过程，我们发现了时变吸收决策界的证据，使我们能够区分特定的决策模型。
In dynamic environments, subjects often integrate multiple samples of a signal and combine them to reach a categorical judgment(1). The process of deliberation can be described by a time-varying decision variable (DV), decoded from neural population activity, that predicts a subject's upcoming decision(2). Within single trials, however, there are large moment-to-moment fluctuations in the DV, the behavioural significance of which is unclear. Here, using real-time, neural feedback control of stimulus duration, we show that within-trial DV fluctuations, decoded from motor cortex, are tightly linked to decision state in macaques, predicting behavioural choices substantially better than the condition-averaged DV or the visual stimulus alone. Furthermore, robust changes in DV sign have the statistical regularities expected from behavioural studies of changes of mind(3). Probing the decision process on single trials with weak stimulus pulses, we find evidence for time-varying absorbing decision bounds, enabling us to distinguish between specific models of decision making.