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通过抑制性突触可塑性调节回路组织和功能。

Regulation of circuit organization and function through inhibitory synaptic plasticity.

机构信息

School of Life Sciences, Technical University of Munich, Freising, Germany; Max Planck Institute for Brain Research, Frankfurt, Germany.

School of Life Sciences, Technical University of Munich, Freising, Germany; Max Planck Institute for Brain Research, Frankfurt, Germany.

出版信息

Trends Neurosci. 2022 Dec;45(12):884-898. doi: 10.1016/j.tins.2022.10.006. Epub 2022 Oct 28.

Abstract

Diverse inhibitory neurons in the mammalian brain shape circuit connectivity and dynamics through mechanisms of synaptic plasticity. Inhibitory plasticity can establish excitation/inhibition (E/I) balance, control neuronal firing, and affect local calcium concentration, hence regulating neuronal activity at the network, single neuron, and dendritic level. Computational models can synthesize multiple experimental results and provide insight into how inhibitory plasticity controls circuit dynamics and sculpts connectivity by identifying phenomenological learning rules amenable to mathematical analysis. We highlight recent studies on the role of inhibitory plasticity in modulating excitatory plasticity, forming structured networks underlying memory formation and recall, and implementing adaptive phenomena and novelty detection. We conclude with experimental and modeling progress on the role of interneuron-specific plasticity in circuit computation and context-dependent learning.

摘要

哺乳动物大脑中的多种抑制性神经元通过突触可塑性机制来塑造回路连接和动态。抑制性可塑性可以建立兴奋/抑制(E/I)平衡,控制神经元放电,并影响局部钙离子浓度,从而调节网络、单个神经元和树突水平的神经元活动。计算模型可以综合多个实验结果,并通过确定可进行数学分析的现象学习规则,深入了解抑制性可塑性如何控制回路动态和塑造连接。我们强调了最近关于抑制性可塑性在调节兴奋性可塑性、形成记忆形成和回忆的基础结构网络以及实现自适应现象和新颖性检测方面的作用的研究。最后,我们总结了关于特定于中间神经元的可塑性在回路计算和上下文相关学习中的作用的实验和建模进展。

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