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稳定的感觉图是由具有不稳定调谐特性的神经元的动态平衡产生的。

A stable sensory map emerges from a dynamic equilibrium of neurons with unstable tuning properties.

机构信息

Institute of Physiology, Focus Program Translational Neurosciences, University Medical Center, Johannes Gutenberg University Mainz, Duesbergweg 6, Mainz 55128, Germany.

Frankfurt Institute for Advanced Studies and Department of Computer Science, Goethe University Frankfurt, Ruth-Moufang-Straße 1, Frankfurt am Main 60438, Germany.

出版信息

Cereb Cortex. 2023 Apr 25;33(9):5597-5612. doi: 10.1093/cercor/bhac445.

Abstract

Recent long-term measurements of neuronal activity have revealed that, despite stability in large-scale topographic maps, the tuning properties of individual cortical neurons can undergo substantial reformatting over days. To shed light on this apparent contradiction, we captured the sound response dynamics of auditory cortical neurons using repeated 2-photon calcium imaging in awake mice. We measured sound-evoked responses to a set of pure tone and complex sound stimuli in more than 20,000 auditory cortex neurons over several days. We found that a substantial fraction of neurons dropped in and out of the population response. We modeled these dynamics as a simple discrete-time Markov chain, capturing the continuous changes in responsiveness observed during stable behavioral and environmental conditions. Although only a minority of neurons were driven by the sound stimuli at a given time point, the model predicts that most cells would at least transiently become responsive within 100 days. We observe that, despite single-neuron volatility, the population-level representation of sound frequency was stably maintained, demonstrating the dynamic equilibrium underlying the tonotopic map. Our results show that sensory maps are maintained by shifting subpopulations of neurons "sharing" the job of creating a sensory representation.

摘要

最近对神经元活动的长期测量显示,尽管在大规模拓扑图中存在稳定性,但单个皮质神经元的调谐特性可以在数天内发生显著重排。为了解释这一明显的矛盾,我们使用清醒小鼠中的重复双光子钙成像技术来捕获听觉皮层神经元的声音反应动力学。我们在数天内对超过 20000 个听觉皮层神经元的一组纯音和复合音刺激进行了测量。我们发现相当一部分神经元在群体反应中时隐时现。我们将这些动态建模为一个简单的离散时间马尔可夫链,捕捉到在稳定的行为和环境条件下观察到的反应性的连续变化。尽管在给定的时间点只有少数神经元受到声音刺激的驱动,但该模型预测大多数细胞在 100 天内至少会短暂地变得有反应。我们观察到,尽管单个神经元存在波动性,但声音频率的群体水平表示仍保持稳定,这表明了音调图背后的动态平衡。我们的结果表明,感觉图谱是通过“共享”创建感觉表示的工作的神经元亚群的转移来维持的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ce/10152095/ee1af29bf2aa/bhac445f1.jpg

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