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海马的空间表征呈现出双曲线的几何形状
作者:小柯机器人 发布时间:2022/12/31 23:07:22

美国加州大学圣迭戈分校Tatyana O. Sharpee研究团队发现,海马的空间表征呈现出双曲线的几何形状。相关论文于2022年12月29日在线发表在《自然—神经科学》杂志上。

研究人员报告说,大鼠海马CA1区的神经元介导空间知觉,并根据非线性双曲几何学表示空间。这种几何形状使用指数尺度,比线性尺度产生更大的位置信息。研究人员发现,该表征的大小与CA1神经元数量的最佳预测相匹配。表征还与动物探索环境所花时间的对数成比例地动态扩展,与可接收的最大相互信息相一致。动态变化甚至跟踪了由于动物奔跑速度的变化而产生的微小变化。这些结果证明了神经回路是如何利用动态双曲几何学实现高效表征的。
 
据介绍,日常经验表明,我们对附近的距离的感知是线性的。然而,大脑中空间表征的实际几何形状是未知的。
 
附:英文原文

Title: Hippocampal spatial representations exhibit a hyperbolic geometry that expands with experience

Author: Zhang, Huanqiu, Rich, P. Dylan, Lee, Albert K., Sharpee, Tatyana O.

Issue&Volume: 2022-12-29

Abstract: Daily experience suggests that we perceive distances near us linearly. However, the actual geometry of spatial representation in the brain is unknown. Here we report that neurons in the CA1 region of rat hippocampus that mediate spatial perception represent space according to a non-linear hyperbolic geometry. This geometry uses an exponential scale and yields greater positional information than a linear scale. We found that the size of the representation matches the optimal predictions for the number of CA1 neurons. The representations also dynamically expanded proportional to the logarithm of time that the animal spent exploring the environment, in correspondence with the maximal mutual information that can be received. The dynamic changes tracked even small variations due to changes in the running speed of the animal. These results demonstrate how neural circuits achieve efficient representations using dynamic hyperbolic geometry.

DOI: 10.1038/s41593-022-01212-4

Source: https://www.nature.com/articles/s41593-022-01212-4

期刊信息

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