Suppr超能文献

双稳态通过神经网络中的抑制性神经元诱导阵发性尖峰通信。

Bistability induces episodic spike communication by inhibitory neurons in neuronal networks.

作者信息

Kazantsev V B, Asatryan S Yu

机构信息

Institute of Applied Physics of RAS, 46 Uljanov Street, 603950 Nizhny Novgorod, Russia.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Sep;84(3 Pt 1):031913. doi: 10.1103/PhysRevE.84.031913. Epub 2011 Sep 13.

Abstract

Bistability is one of the important features of nonlinear dynamical systems. In neurodynamics, bistability has been found in basic Hodgkin-Huxley equations describing the cell membrane dynamics. When the neuron is clamped near its threshold, the stable rest potential may coexist with the stable limit cycle describing periodic spiking. However, this effect is often neglected in network computations where the neurons are typically reduced to threshold firing units (e.g., integrate-and-fire models). We found that the bistability may induce spike communication by inhibitory coupled neurons in the spiking network. The communication is realized in the form of episodic discharges with synchronous (correlated) spikes during the episodes. A spiking phase map is constructed to describe the synchronization and to estimate basic spike phase locking modes.

摘要

双稳态是非线性动力系统的重要特征之一。在神经动力学中,双稳态已在描述细胞膜动力学的基本霍奇金-赫胥黎方程中被发现。当神经元被钳制在其阈值附近时,稳定的静息电位可能与描述周期性放电的稳定极限环共存。然而,在网络计算中,这种效应常常被忽略,在这些计算中,神经元通常被简化为阈值发放单元(例如,积分发放模型)。我们发现双稳态可能会在发放网络中通过抑制性耦合神经元诱导发放通信。这种通信以阵发性放电的形式实现,在阵发性期间有同步(相关)发放。构建了一个发放相位图来描述同步并估计基本的发放相位锁定模式。

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