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本文引用的文献

1
The role of ongoing dendritic oscillations in single-neuron dynamics.持续的树突振荡在单神经元动力学中的作用。
PLoS Comput Biol. 2009 Sep;5(9):e1000493. doi: 10.1371/journal.pcbi.1000493. Epub 2009 Sep 4.
2
Towards a functional organization of the medial temporal lobe memory system: role of the parahippocampal and medial entorhinal cortical areas.迈向内侧颞叶记忆系统的功能组织:海马旁回和内嗅皮质区域的作用
Hippocampus. 2008;18(12):1314-24. doi: 10.1002/hipo.20500.
3
Grid cells: the position code, neural network models of activity, and the problem of learning.网格细胞:位置编码、活动的神经网络模型以及学习问题。
Hippocampus. 2008;18(12):1283-300. doi: 10.1002/hipo.20519.
4
Influence of boundary removal on the spatial representations of the medial entorhinal cortex.边界去除对内侧内嗅皮层空间表征的影响。
Hippocampus. 2008;18(12):1270-82. doi: 10.1002/hipo.20511.
5
The emergence of grid cells: Intelligent design or just adaptation?网格细胞的出现:智能设计还是仅仅是适应?
Hippocampus. 2008;18(12):1256-69. doi: 10.1002/hipo.20520.
6
Conversion of a phase- to a rate-coded position signal by a three-stage model of theta cells, grid cells, and place cells.通过θ细胞、网格细胞和位置细胞的三阶段模型将相位编码位置信号转换为速率编码位置信号。
Hippocampus. 2008;18(12):1239-55. doi: 10.1002/hipo.20509.
7
Progressive increase in grid scale from dorsal to ventral medial entorhinal cortex.从背侧到腹内侧内嗅皮质,网格细胞尺度逐渐增大。
Hippocampus. 2008;18(12):1200-12. doi: 10.1002/hipo.20504.
8
Grid cells and theta as oscillatory interference: theory and predictions.网格细胞与作为振荡干扰的θ波:理论与预测
Hippocampus. 2008;18(12):1157-74. doi: 10.1002/hipo.20518.
9
A metric for space.一种空间度量。
Hippocampus. 2008;18(12):1142-56. doi: 10.1002/hipo.20483.
10
Computation by oscillations: implications of experimental data for theoretical models of grid cells.通过振荡进行计算:实验数据对网格细胞理论模型的启示
Hippocampus. 2008;18(12):1186-99. doi: 10.1002/hipo.20501.

网格细胞机制与功能:内嗅皮层持续发放和相位重置的作用

Grid cell mechanisms and function: contributions of entorhinal persistent spiking and phase resetting.

作者信息

Hasselmo Michael E

机构信息

Center for Memory and Brain, Department of Psychology and Program in Neuroscience, Boston University, Boston, Massachusetts 02215, USA.

出版信息

Hippocampus. 2008;18(12):1213-29. doi: 10.1002/hipo.20512.

DOI:10.1002/hipo.20512
PMID:19021258
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2614862/
Abstract

This article presents a model of grid cell firing based on the intrinsic persistent firing shown experimentally in neurons of entorhinal cortex. In this model, the mechanism of persistent firing allows individual neurons to hold a stable baseline firing frequency. Depolarizing input from speed-modulated head direction cells transiently shifts the frequency of firing from baseline, resulting in a shift in spiking phase in proportion to the integral of velocity. The convergence of input from different persistent firing neurons causes spiking in a grid cell only when the persistent firing neurons are within similar phase ranges. This model effectively simulates the two-dimensional firing of grid cells in open field environments, as well as the properties of theta phase precession. This model provides an alternate implementation of oscillatory interference models. The persistent firing could also interact on a circuit level with rhythmic inhibition and neurons showing membrane potential oscillations to code position with spiking phase. These mechanisms could operate in parallel with computation of position from visual angle and distance of stimuli. In addition to simulating two-dimensional grid patterns, models of phase interference can account for context-dependent firing in other tasks. In network simulations of entorhinal cortex, hippocampus, and postsubiculum, the reset of phase effectively replicates context-dependent firing by entorhinal and hippocampal neurons during performance of a continuous spatial alternation task, a delayed spatial alternation task with running in a wheel during the delay period (Pastalkova et al., Science, 2008), and a hairpin maze task.

摘要

本文提出了一种基于内嗅皮层神经元实验中显示的内在持续放电的网格细胞放电模型。在该模型中,持续放电机制使单个神经元能够保持稳定的基线放电频率。来自速度调制的头部方向细胞的去极化输入会暂时使放电频率偏离基线,导致放电相位与速度积分成比例地偏移。只有当持续放电神经元处于相似的相位范围内时,来自不同持续放电神经元的输入汇聚才会导致网格细胞放电。该模型有效地模拟了开放场环境中网格细胞的二维放电以及theta相位进动的特性。该模型提供了振荡干扰模型的另一种实现方式。持续放电还可能在电路层面与节律性抑制以及显示膜电位振荡的神经元相互作用,以通过放电相位编码位置。这些机制可以与根据刺激的视角和距离计算位置并行运行。除了模拟二维网格模式外,相位干扰模型还可以解释其他任务中依赖上下文的放电。在内嗅皮层、海马体和后下托的网络模拟中,相位重置有效地复制了内嗅皮层和海马体神经元在执行连续空间交替任务、延迟期内在轮子上奔跑的延迟空间交替任务(帕斯塔科娃等人,《科学》,2008年)以及发夹迷宫任务期间依赖上下文的放电。