The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 43 Vassar Street, Cambridge, MA, 02139, USA.
Computational Brain Science Lab, Department of Computational Science and Technology, KTH Royal Institute of Technology, Stockholm, 100 44, Sweden.
Nat Commun. 2018 Jan 26;9(1):394. doi: 10.1038/s41467-017-02791-8.
Working memory (WM) activity is not as stationary or sustained as previously thought. There are brief bursts of gamma (50-120 Hz) and beta (20-35 Hz) oscillations, the former linked to stimulus information in spiking. We examined these dynamics in relation to readout and control mechanisms of WM. Monkeys held sequences of two objects in WM to match to subsequent sequences. Changes in beta and gamma bursting suggested their distinct roles. In anticipation of having to use an object for the match decision, there was an increase in gamma and spiking information about that object and reduced beta bursting. This readout signal was only seen before relevant test objects, and was related to premotor activity. When the objects were no longer needed, beta increased and gamma decreased together with object spiking information. Deviations from these dynamics predicted behavioral errors. Thus, beta could regulate gamma and the information in WM.
工作记忆 (WM) 活动并不像之前认为的那样稳定或持续。存在短暂的伽马 (50-120 Hz) 和贝塔 (20-35 Hz) 振荡,前者与尖峰中的刺激信息有关。我们研究了这些动力学与 WM 的读出和控制机制的关系。猴子在 WM 中保持两个物体的序列以匹配后续序列。β和γ爆发的变化表明它们具有不同的作用。在预期必须使用某个物体进行匹配决策之前,该物体的γ和尖峰信息增加,而β爆发减少。只有在相关的测试对象之前才会看到这种读出信号,并且与运动前活动有关。当不再需要物体时,β增加,γ与物体尖峰信息一起减少。这些动力学的偏差预测了行为错误。因此,β可以调节 WM 中的γ和信息。