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细胞动力学机制用于在情景记忆中沿时空轨迹对事件的时间和地点进行编码。

Cellular dynamical mechanisms for encoding the time and place of events along spatiotemporal trajectories in episodic memory.

机构信息

Center for Memory and Brain, Department of Psychology and Program in Neuroscience, Boston University, 2 Cummington Street, Boston, MA 02215, USA.

出版信息

Behav Brain Res. 2010 Dec 31;215(2):261-74. doi: 10.1016/j.bbr.2009.12.010. Epub 2009 Dec 16.

Abstract

Understanding the mechanisms of episodic memory requires linking behavioral data and lesion effects to data on the dynamics of cellular membrane potentials and population interactions within brain regions. Linking behavior to specific membrane channels and neurochemicals has implications for therapeutic applications. Lesions of the hippocampus, entorhinal cortex and subcortical nuclei impair episodic memory function in humans and animals, and unit recording data from these regions in behaving animals indicate episodic memory processes. Intracellular recording in these regions demonstrates specific cellular properties including resonance, membrane potential oscillations and bistable persistent spiking that could underlie the encoding and retrieval of episodic trajectories. A model presented here shows how intrinsic dynamical properties of neurons could mediate the encoding of episodic memories as complex spatiotemporal trajectories. The dynamics of neurons allow encoding and retrieval of unique episodic trajectories in multiple continuous dimensions including temporal intervals, personal location, the spatial coordinates and sensory features of perceived objects and generated actions, and associations between these elements. The model also addresses how cellular dynamics could underlie unit firing data suggesting mechanisms for coding continuous dimensions of space, time, sensation and action.

摘要

理解情景记忆的机制需要将行为数据和损伤效应与大脑区域内细胞膜电位和群体相互作用的动力学数据联系起来。将行为与特定的膜通道和神经化学物质联系起来,对治疗应用具有重要意义。海马体、内嗅皮层和皮质下核的损伤会损害人类和动物的情景记忆功能,而在行为动物的这些区域进行的单位记录数据表明存在情景记忆过程。在这些区域进行的细胞内记录表明存在特定的细胞特性,包括共振、膜电位振荡和双稳态持续尖峰,这些特性可能是情景轨迹的编码和检索的基础。本文提出的模型展示了神经元的内在动力学特性如何作为复杂的时空轨迹来介导情景记忆的编码。神经元的动力学允许在多个连续维度(包括时间间隔、个人位置、感知物体和生成动作的空间坐标以及这些元素之间的关联)中对独特的情景轨迹进行编码和检索。该模型还解决了细胞动力学如何为单元放电数据提供基础,从而提出了用于对空间、时间、感觉和动作的连续维度进行编码的机制。

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