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Linking hippocampal multiplexed tuning, Hebbian plasticity and navigation
Nature ( IF 64.8 ) Pub Date : 2021-10-20 , DOI: 10.1038/s41586-021-03989-z
Jason J Moore 1, 2 , Jesse D Cushman 1, 2 , Lavanya Acharya 1, 3 , Briana Popeney 1, 2 , Mayank R Mehta 1, 2, 4, 5
Affiliation  

Three major pillars of hippocampal function are spatial navigation1, Hebbian synaptic plasticity2 and spatial selectivity3. The hippocampus is also implicated in episodic memory4, but the precise link between these four functions is missing. Here we report the multiplexed selectivity of dorsal CA1 neurons while rats performed a virtual navigation task using only distal visual cues5, similar to the standard water maze test of spatial memory1. Neural responses primarily encoded path distance from the start point and the head angle of rats, with a weak allocentric spatial component similar to that in primates but substantially weaker than in rodents in the real world. Often, the same cells multiplexed and encoded path distance, angle and allocentric position in a sequence, thus encoding a journey-specific episode. The strength of neural activity and tuning strongly correlated with performance, with a temporal relationship indicating neural responses influencing behaviour and vice versa. Consistent with computational models of associative and causal Hebbian learning6,7, neural responses showed increasing clustering8 and became better predictors of behaviourally relevant variables, with the average neurometric curves exceeding and converging to psychometric curves. Thus, hippocampal neurons multiplex and exhibit highly plastic, task- and experience-dependent tuning to path-centric and allocentric variables to form episodic sequences supporting navigation.



中文翻译:

连接海马体多路调谐、赫布可塑性和导航

海马体功能的三大支柱是空间导航1、赫布突触可塑性2和空间选择性3。海马体也与情景记忆有关4,但这四种功能之间的精确联系缺失。在这里,我们报告了背侧 CA1 神经元的多重选择性,而大鼠仅使用远端视觉线索5执行虚拟导航任务,类似于空间记忆的标准水迷宫测试1. 神经反应主要编码距起点的路径距离和大鼠的头部角度,具有类似于灵长类动物的弱非中心空间成分,但比现实世界中的啮齿动物弱得多。通常,相同的细胞在一个序列中多路复用和编码路径距离、角度和非中心位置,从而编码特定旅程的情节。神经活动的强度和调整与表现密切相关,时间关系表明神经反应影响行为,反之亦然。与关联和因果 Hebbian 学习6,7的计算模型一致,神经反应显示出越来越多的聚类8并成为行为相关变量的更好预测器,平均神经测量曲线超过并收敛于心理测量曲线。因此,海马神经元复用并表现出高度可塑性、任务和经验依赖性调整以路径为中心和非中心变量以形成支持导航的情景序列。

更新日期:2021-10-20
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