Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence.
Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence.
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工作记忆输入、输出和运动门控的类比计算：电生理学和计算模型证据。
DOI：
10.1371/journal.pcbi.1008971
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发表时间：
2021-06
影响因子：
4.3
通讯作者：
Frank MJ
中科院分区：
文献类型：
--
作者：
Rac-Lubashevsky R;Frank MJ
适应性认知控制涉及分层皮质纹状体门控系统，该系统支持选择性更新、维护和检索有用的认知和运动信息。在这里，我们开发了一项任务，可以独立地将选择性门控操作操纵到工作记忆（输入门控）、工作记忆（输出门控）和响应（运动门控），并测试支持它们的神经动力学和计算原理。由门开关捕获的门控需求的增加通过在部分重叠的时间窗口中动态演变的每个门控水平的不同脑电图相关性来表达。此外，当相应的门切换时，可以从脑电图解码特定维护项目和运动反应的分类表示，从而将门控操作与优先级联系起来。最后，所有级别的门开关都与通过漂移扩散模型量化的运动决策阈值的增加有关。这些结果共同支持了认知门控操作建立在运动门控机制之上的观点。人类如何决定哪些信息与记忆相关、采取哪些认知操作以及何时进行？工作记忆（WM）中相关信息的灵活更新、维护和检索被认为是通过额纹状体网络中的门控计算来管理的，支持高阶学习和认知灵活性。使用 Reference-back-2 任务，我们测试了门控的关键属性。也就是说，它们是选择性的（“内容可寻址”），并且认知“动作”的原则（包括 WM 的输入门控、WM 的输出门控）是运动门控操作之上的脚手架。使用逐次试验的脑电图索引和定量计算模型（分层漂移扩散模型），我们表明，所有三个门控级别的动作选择都具有可分离的神经特征，但它们部分并行运行，因此即使认知规则的身份不确定，也可以在某种程度上处理有关响应的决策。此外，我们展示了跨门控级别的类似计算，因为 WM 表示和运动动作的选择会导致估计决策阈值的增加，并增强所选信息的神经编码，从而在 WM 门控和 WM 优先级之间提供新颖的联系。
Adaptive cognitive-control involves a hierarchical cortico-striatal gating system that supports selective updating, maintenance, and retrieval of useful cognitive and motor information. Here, we developed a task that independently manipulates selective gating operations into working-memory (input gating), from working-memory (output gating), and of responses (motor gating) and tested the neural dynamics and computational principles that support them. Increases in gating demands, captured by gate switches, were expressed by distinct EEG correlates at each gating level that evolved dynamically in partially overlapping time windows. Further, categorical representations of specific maintained items and of motor responses could be decoded from EEG when the corresponding gate was switching, thereby linking gating operations to prioritization. Finally, gate switching at all levels was related to increases in the motor decision threshold as quantified by the drift diffusion model. Together these results support the notion that cognitive gating operations scaffold on top of mechanisms involved in motor gating. How do humans decide which information is relevant to attend to in memory, which cognitive operation to take, and when? Flexibly updating, maintenance and retrieval of relevant information from working memory (WM) are thought to be managed by gating computations in the frontostriatal network, supporting higher order learning and cognitive flexibility. Using the reference-back-2 task, we tested the key properties of gating. Namely that they are selective (“content-addressable”) and that principles of cognitive “actions” (including input gating of WM, output gating from WM) are scaffold on top of the motor gating operations. Using trial-by-trial EEG indexing and quantitative computational modeling (the hierarchical drift-diffusion model) we showed that action selection at all three levels of gating have separable neural signatures but they operate partly in parallel, such that decisions about a response are processed to some degree even while the identity of the cognitive rule were uncertain. Furthermore, we showed analogous computations across levels of gating as selection of WM representation and of motor action lead to increase in the estimated decision threshold and to enhanced neural coding of the selected information thereby providing a novel link between WM gating and WM prioritization.
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DOI：
10.1098/rstb.2007.2054
发表时间：
2007-09-29
影响因子：
6.3
作者：
Cisek, Paul
通讯作者：
Cisek, Paul
影响因子：
5
作者：
Chatham CH;Badre D
通讯作者：
Badre D
DOI：
10.1073/pnas.1720963115
发表时间：
2018-03-06
影响因子：
11.1
作者：
Collins, Anne G. E.;Frank, Michael J.
通讯作者：
Frank, Michael J.
影响因子：
7.2
作者：
Dreisbach, Gesine;Froeber, Kerstin
通讯作者：
Froeber, Kerstin
影响因子：
24.8
作者：
D'Esposito M;Postle BR
通讯作者：
Postle BR