Sissa, Via Bonomea 265, 34136, Trieste, Italy.
University of Oslo, Faculty of Medicine, IMB, Sognsvannsveien 9 Domus Medica, 0372, Oslo, Norway.
Nat Commun. 2022 Apr 7;13(1):1907. doi: 10.1038/s41467-022-29583-z.
An essential role of the hippocampal region is to integrate information to compute and update representations. How this transpires is highly debated. Many theories hinge on the integration of self-motion signals and the existence of continuous attractor networks (CAN). CAN models hypothesise that neurons coding for navigational correlates - such as position and direction - receive inputs from cells conjunctively coding for position, direction, and self-motion. As yet, very little data exist on such conjunctive coding in the hippocampal region. Here, we report neurons coding for angular and linear velocity, uniformly distributed across the medial entorhinal cortex (MEC), the presubiculum and the parasubiculum, except for MEC layer II. Self-motion neurons often conjunctively encoded position and/or direction, yet lacked a structured organisation. These results offer insights as to how linear/angular speed - derivative in time of position/direction - may allow the updating of spatial representations, possibly uncovering a generalised algorithm to update any representation.
海马区的一个重要作用是整合信息以进行计算和更新表示。这是如何发生的，这是一个高度争议的问题。许多理论都依赖于自身运动信号的整合和连续吸引子网络（CAN）的存在。CAN 模型假设，编码导航相关信息的神经元 - 如位置和方向 - 会从同时编码位置、方向和自身运动的细胞中接收输入。然而，关于海马区这种联合编码的数据还很少。在这里，我们报告了在内侧内嗅皮层（MEC）、前下托和副下托中均匀分布的编码角速度和线速度的神经元，但 MEC 层 II 除外。自身运动神经元经常联合编码位置和/或方向，但缺乏结构化组织。这些结果提供了一些线索，说明线性/角速度 - 位置/方向的时间导数 - 如何允许空间表示的更新，可能揭示了一种通用算法来更新任何表示。
