Suppr超能文献

M型钾电导控制神经相位编码的出现:一项实验与神经元建模相结合的研究。

M-type potassium conductance controls the emergence of neural phase codes: a combined experimental and neuron modelling study.

作者信息

Kwag Jeehyun, Jang Hyun Jae, Kim Mincheol, Lee Sujeong

机构信息

Neural Computation Laboratory, Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea

Neural Computation Laboratory, Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea.

出版信息

J R Soc Interface. 2014 Oct 6;11(99). doi: 10.1098/rsif.2014.0604.

Abstract

Rate and phase codes are believed to be important in neural information processing. Hippocampal place cells provide a good example where both coding schemes coexist during spatial information processing. Spike rate increases in the place field, whereas spike phase precesses relative to the ongoing theta oscillation. However, what intrinsic mechanism allows for a single neuron to generate spike output patterns that contain both neural codes is unknown. Using dynamic clamp, we simulate an in vivo-like subthreshold dynamics of place cells to in vitro CA1 pyramidal neurons to establish an in vitro model of spike phase precession. Using this in vitro model, we show that membrane potential oscillation (MPO) dynamics is important in the emergence of spike phase codes: blocking the slowly activating, non-inactivating K+ current (IM), which is known to control subthreshold MPO, disrupts MPO and abolishes spike phase precession. We verify the importance of adaptive IM in the generation of phase codes using both an adaptive integrate-and-fire and a Hodgkin-Huxley (HH) neuron model. Especially, using the HH model, we further show that it is the perisomatically located IM with slow activation kinetics that is crucial for the generation of phase codes. These results suggest an important functional role of IM in single neuron computation, where IM serves as an intrinsic mechanism allowing for dual rate and phase coding in single neurons.

摘要

速率编码和相位编码被认为在神经信息处理中很重要。海马位置细胞就是一个很好的例子,在空间信息处理过程中,这两种编码方式共存。在位置域中,动作电位发放速率增加,而动作电位相位相对于正在进行的θ振荡呈进动状态。然而,单个神经元产生包含这两种神经编码的动作电位输出模式的内在机制尚不清楚。我们使用动态钳制技术,将位置细胞类似体内的阈下动力学模拟到体外培养的CA1锥体神经元上,以建立动作电位相位进动的体外模型。利用这个体外模型,我们发现膜电位振荡(MPO)动力学在动作电位相位编码的出现中很重要:阻断已知可控制阈下MPO的缓慢激活、非失活钾电流(IM),会破坏MPO并消除动作电位相位进动。我们使用自适应积分发放模型和霍奇金-赫胥黎(HH)神经元模型,验证了适应性IM在相位编码产生中的重要性。特别是,使用HH模型,我们进一步表明,对于相位编码的产生至关重要的是位于胞体周围、具有缓慢激活动力学的IM。这些结果表明IM在单个神经元计算中具有重要的功能作用,其中IM作为一种内在机制,允许单个神经元进行双重速率和相位编码。

相似文献

4
The domain of neuronal firing on a plane of input current and conductance.在输入电流和电导平面上神经元放电的区域。
J Comput Neurosci. 2015 Oct;39(2):217-33. doi: 10.1007/s10827-015-0573-5. Epub 2015 Aug 18.
7
Efficient phase coding in hippocampal place cells.海马位置细胞中的高效相位编码。
Phys Rev Res. 2020 Sep 11;2(3):033393. doi: 10.1103/PhysRevResearch.2.033393. eCollection 2020 Jul-Sep.

引用本文的文献

本文引用的文献

5
Models of place and grid cell firing and theta rhythmicity.位置和网格细胞放电及θ节律模型。
Curr Opin Neurobiol. 2011 Oct;21(5):734-44. doi: 10.1016/j.conb.2011.07.002. Epub 2011 Aug 4.
7
Intracellular dynamics of virtual place cells.虚拟位置细胞的细胞内动力学
Neural Comput. 2011 Mar;23(3):651-5. doi: 10.1162/NECO_a_00087. Epub 2010 Dec 16.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验