小柯机器人

美国普林斯顿大学Ilana B. Witten、Jonathan W. Pillow等研究人员合作发现，背内侧纹状体通路对行为的相对控制取决于任务要求和内部状态。2022年3月7日，《自然—神经科学》杂志在线发表了这项成果。

研究人员发现背内侧纹状体的两条通路对行为的强烈相对控制取决于任务的认知要求。此外，一个潜在的状态模型（一个具有广义线性模型观察的隐马尔科夫模型）显示，即使在一个单一的任务中，这两条通路对行为的贡献也是依赖于状态的。具体来说，这两条通路在与证据积累策略相关的两个状态之一有很大的贡献，而在与重复先前选择的策略相关的状态中则没有。因此，一项任务的要求以及小鼠执行任务时的内部状态都决定了背内侧纹状体通路是否对行为提供强力的相对控制。

据了解，关于纹状体的一个经典观点认为，直接和间接途径的活动对运动输出有相反的调节作用。这是否涉及对运动的直接控制，或反映了运动背后的认知过程，仍未得到解决。

附：英文原文

Title: Opponent control of behavior by dorsomedial striatal pathways depends on task demands and internal state

Author: Bolkan, Scott S., Stone, Iris R., Pinto, Lucas, Ashwood, Zoe C., Iravedra Garcia, Jorge M., Herman, Alison L., Singh, Priyanka, Bandi, Akhil, Cox, Julia, Zimmerman, Christopher A., Cho, Jounhong Ryan, Engelhard, Ben, Pillow, Jonathan W., Witten, Ilana B.

Issue&Volume: 2022-03-07

Abstract: A classic view of the striatum holds that activity in direct and indirect pathways oppositely modulates motor output. Whether this involves direct control of movement, or reflects a cognitive process underlying movement, remains unresolved. Here we find that strong, opponent control of behavior by the two pathways of the dorsomedial striatum depends on the cognitive requirements of a task. Furthermore, a latent state model (a hidden Markov model with generalized linear model observations) reveals that—even within a single task—the contribution of the two pathways to behavior is state dependent. Specifically, the two pathways have large contributions in one of two states associated with a strategy of evidence accumulation, compared to a state associated with a strategy of repeating previous choices. Thus, both the demands imposed by a task, as well as the internal state of mice when performing a task, determine whether dorsomedial striatum pathways provide strong and opponent control of behavior.

DOI: 10.1038/s41593-022-01021-9

Source: https://www.nature.com/articles/s41593-022-01021-9

Nature Neuroscience：《自然—神经科学》，创刊于1998年。隶属于施普林格·自然出版集团，最新IF：28.771
官方网址：https://www.nature.com/neuro/
投稿链接：https://mts-nn.nature.com/cgi-bin/main.plex