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海马体网络中群体放电稳定性与单个神经元动力学之间的相互作用

Interplay between population firing stability and single neuron dynamics in hippocampal networks.

作者信息

Slomowitz Edden, Styr Boaz, Vertkin Irena, Milshtein-Parush Hila, Nelken Israel, Slutsky Michael, Slutsky Inna

机构信息

Department of Physiology and Pharmacology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Department of Neurobiology, Alexander Silberman Institute of Life Sciences, Hebrew University, Jerusalem, Israel.

出版信息

Elife. 2015 Jan 3;4:e04378. doi: 10.7554/eLife.04378.

Abstract

Neuronal circuits' ability to maintain the delicate balance between stability and flexibility in changing environments is critical for normal neuronal functioning. However, to what extent individual neurons and neuronal populations maintain internal firing properties remains largely unknown. In this study, we show that distributions of spontaneous population firing rates and synchrony are subject to accurate homeostatic control following increase of synaptic inhibition in cultured hippocampal networks. Reduction in firing rate triggered synaptic and intrinsic adaptive responses operating as global homeostatic mechanisms to maintain firing macro-stability, without achieving local homeostasis at the single-neuron level. Adaptive mechanisms, while stabilizing population firing properties, reduced short-term facilitation essential for synaptic discrimination of input patterns. Thus, invariant ongoing population dynamics emerge from intrinsically unstable activity patterns of individual neurons and synapses. The observed differences in the precision of homeostatic control at different spatial scales challenge cell-autonomous theory of network homeostasis and suggest the existence of network-wide regulation rules.

摘要

神经回路在不断变化的环境中维持稳定性和灵活性之间微妙平衡的能力,对于正常的神经元功能至关重要。然而,单个神经元和神经元群体在多大程度上维持内部放电特性,在很大程度上仍然未知。在本研究中,我们表明,在培养的海马网络中,突触抑制增加后,自发群体放电率和同步性的分布受到精确的稳态控制。放电率的降低触发了作为全局稳态机制的突触和内在适应性反应,以维持放电的宏观稳定性,但未在单神经元水平实现局部稳态。适应性机制在稳定群体放电特性的同时,减少了对输入模式进行突触区分所必需的短期易化。因此,不变的持续群体动态源自单个神经元和突触本质上不稳定的活动模式。在不同空间尺度上观察到的稳态控制精度差异,挑战了网络稳态的细胞自主理论,并表明存在全网络范围的调节规则。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3314/4311497/8ad2db4335a8/elife04378f001.jpg

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