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位置野的行为时间尺度可塑性:数学分析

Behavioral Time Scale Plasticity of Place Fields: Mathematical Analysis.

作者信息

Cone Ian, Shouval Harel Z

机构信息

Department of Neurobiology and Anatomy, University of Texas Medical School, Houston, TX, United States.

Applied Physics Program, Rice University, Houston, TX, United States.

出版信息

Front Comput Neurosci. 2021 Mar 1;15:640235. doi: 10.3389/fncom.2021.640235. eCollection 2021.

Abstract

Traditional synaptic plasticity experiments and models depend on tight temporal correlations between pre- and postsynaptic activity. These tight temporal correlations, on the order of tens of milliseconds, are incompatible with significantly longer behavioral time scales, and as such might not be able to account for plasticity induced by behavior. Indeed, recent findings in hippocampus suggest that rapid, bidirectional synaptic plasticity which modifies place fields in CA1 operates at behavioral time scales. These experimental results suggest that presynaptic activity generates synaptic eligibility traces both for potentiation and depression, which last on the order of seconds. These traces can be converted to changes in synaptic efficacies by the activation of an instructive signal that depends on naturally occurring or experimentally induced plateau potentials. We have developed a simple mathematical model that is consistent with these observations. This model can be fully analyzed to find the fixed points of induced place fields and how these fixed points depend on system parameters such as the size and shape of presynaptic place fields, the animal's velocity during induction, and the parameters of the plasticity rule. We also make predictions about the convergence time to these fixed points, both for induced and pre-existing place fields.

摘要

传统的突触可塑性实验和模型依赖于突触前和突触后活动之间紧密的时间相关性。这些紧密的时间相关性,在几十毫秒的量级上,与长得多的行为时间尺度不兼容,因此可能无法解释由行为诱导的可塑性。事实上,海马体最近的研究结果表明,快速、双向的突触可塑性会改变CA1区的位置野,其作用于行为时间尺度。这些实验结果表明,突触前活动会产生用于增强和抑制的突触合格痕迹,这些痕迹持续时间约为几秒。这些痕迹可以通过激活一个依赖于自然发生或实验诱导的平台电位的指导性信号,转化为突触效能的变化。我们开发了一个与这些观察结果一致的简单数学模型。这个模型可以进行全面分析,以找到诱导位置野的固定点,以及这些固定点如何依赖于系统参数,如突触前位置野的大小和形状、诱导过程中动物的速度以及可塑性规则的参数。我们还对诱导和预先存在的位置野到这些固定点的收敛时间做出了预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4218/7959845/96bbbea8951c/fncom-15-640235-g0001.jpg

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