小柯机器人

美国哈佛大学Bence P. Ölveczky小组的最新研究发现，运动系统中的单个神经元活动具有长期稳定性。相关论文于2022年11月10日发表在国际学术期刊《自然-神经科学》杂志上。

为了揭示既定行为产生的机制，研究人员连续数周记录了运动皮层和纹状体在单一活动中的变化，因为大鼠进行了刻板的运动-包括后天学和先天具有的运动。研究发现两个大脑区域的单个神经元活动模式具有长期稳定性。在数周的记录观察中，研究人员发现神经活动的少量漂移可以通过行为过程中与任务无关的伴随变化来解释。这些结果表明，长期稳定的行为是由本身高度稳定的单个神经元活动模式产生。

据介绍，一个不断变化的神经系统如何保持和持续产生既定行为仍然是未解之谜。确保运动输出长期稳定的一种可能机制是固定相关回路中单个神经元的活动模式。或者，单个细胞中的活动可能会随着时间的推移而漂移，然而这种假设的前提是种群动态受到限制以产生相同的行为。

附：英文原文

Title: Long-term stability of single neuron activity in the motor system

Author: Jensen, Kristopher T., Kadmon Harpaz, Naama, Dhawale, Ashesh K., Wolff, Steffen B. E., lveczky, Bence P.

Issue&Volume: 2022-11-10

Abstract: How an established behavior is retained and consistently produced by a nervous system in constant flux remains a mystery. One possible solution to ensure long-term stability in motor output is to fix the activity patterns of single neurons in the relevant circuits. Alternatively, activity in single cells could drift over time provided that the population dynamics are constrained to produce the same behavior. To arbitrate between these possibilities, we recorded single-unit activity in motor cortex and striatum continuously for several weeks as rats performed stereotyped motor behaviors—both learned and innate. We found long-term stability in single neuron activity patterns across both brain regions. A small amount of drift in neural activity, observed over weeks of recording, could be explained by concomitant changes in task-irrelevant aspects of the behavior. These results suggest that long-term stable behaviors are generated by single neuron activity patterns that are themselves highly stable.

DOI: 10.1038/s41593-022-01194-3

Source: https://www.nature.com/articles/s41593-022-01194-3

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