选择性线索反应细胞发育的简单动力系统模型

Adam Ponzi
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摘要

在最近的一篇实验论文中,福斯特和威尔逊[d.aFoster, M.A. Wilson, Nature 440(2006) 680-683]报道了大鼠海马位置细胞在清醒状态下的近期行为序列的反向重放。提出了一个简单的动态系统放电速率神经元模型,说明了这种重播如何生成环境地图,并有选择地将重播位置与其他功能相关的位置联系起来。数值模拟显示,在提示t迷宫任务中,一个细胞的接受野与奖励位置相对应,只有两个线索中的一个。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simple dynamical system model of selective cue responding cell development

In a recent experimental paper, Foster and Wilson [D.A. Foster, M.A. Wilson, Nature 440 (2006) 680–683] reported reverse replay of recent behavioural sequences in rat hippocampal place cells during the awake state immediately after spatial experience at the reward location. A simple dynamical system firing rate neuron model, illustrating how such replay can generate a map of the environment, selectively linking the replay location with other functionally relevant locations, is presented. Numerical simulations show the rapid development of a cell with receptive field corresponding to the reward location and only one of two cues in a cued T-maze task.

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