Learning multiple variable-speed sequences in striatum via cortical tutoring
Learning multiple variable-speed sequences in striatum via cortical tutoring
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DOI：
10.7554/elife.26084
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发表时间：
2017-05-08
期刊：
影响因子：
7.7
通讯作者：
Escola, G. Sean
中科院分区：
文献类型：
--
作者：
Murray, James M.;Escola, G. Sean
在计时和运动序列任务期间，在许多大脑区域中观察到稀疏的、连续的神经活动模式。受这些观察的启发，我们构建了纹状体模型，这是一种全抑制回路，其中序列活动模式很突出，解决了以下关键挑战：（i）获得对序列速度的时间重新缩放的控制，并能够推广到新的速度； (ii) 通过选择性激活、串联和循环特定子序列，促进不同序列的灵活表达； (iii) 实现生物学上合理的序列学习，这与损伤研究表明的学习和执行的脱钩相一致，这些研究表明皮层回路对于学习是必要的，但皮层下回路足以驱动学习行为。我们描述的相同机制也可以应用于具有兴奋性和抑制性群体的回路，因此可能是大脑中顺序神经活动模式生成的一般特征的基础。
Sparse, sequential patterns of neural activity have been observed in numerous brain areas during timekeeping and motor sequence tasks. Inspired by such observations, we construct a model of the striatum, an all-inhibitory circuit where sequential activity patterns are prominent, addressing the following key challenges: (i) obtaining control over temporal rescaling of the sequence speed, with the ability to generalize to new speeds; (ii) facilitating flexible expression of distinct sequences via selective activation, concatenation, and recycling of specific subsequences; and (iii) enabling the biologically plausible learning of sequences, consistent with the decoupling of learning and execution suggested by lesion studies showing that cortical circuits are necessary for learning, but that subcortical circuits are sufficient to drive learned behaviors. The same mechanisms that we describe can also be applied to circuits with both excitatory and inhibitory populations, and hence may underlie general features of sequential neural activity pattern generation in the brain.