A methodology for achieving high-speed rates for artificial conductance injection in electrically excitable biological cells
A methodology for achieving high-speed rates for artificial conductance injection in electrically excitable biological cells
复制标题
DOI：
10.1109/10.966605
复制
发表时间：
2001-12-01
影响因子：
4.6
通讯作者：
Smith, JC
中科院分区：
文献类型：
--
作者：
Butera, RJ;Wilson, CG;Smith, JC
我们提出了一种新的方法来实现动态钳协议（夏普等人，1993），通常用于神经生理学和心脏电生理学实验。我们的方法是基于实时扩展的Linux操作系统。传统的基于PC的方法通常利用10 kHz或更低的单周期计算速率。在本文中，我们证明了可靠的周期到周期的速度快至50 kHz。我们的系统，我们称之为模型参考电流注入（MRCI）;显式merci还能够对内部状态变量进行情景日志记录和对模型参数进行交互式操作。实现高速的限制因素不是处理器速度或模型复杂性，而是CPU/主板性能中固有的周期抖动。我们用两个例子证明了这些高速度和灵活性：1）在全细胞膜片钳下向哺乳动物神经元添加动作电位离子电流，2）通过MRCI改变细胞的内在动力学，同时通过人工突触将其耦合到内部计算模型细胞。这些更高的速率大大扩展了这种技术的适用性，研究快速的电生理电流，如快速Na+电流和快速兴奋/抑制性突触。
We present a novel approach to implementing the dynamic clamp protocol (Sharp et al., 1993), commonly used in neurophysiology and cardiac electrophysiology experiments. Our approach is based on real-time extensions to the Linux operating system. Conventional PC-based approaches have typically utilized single-cycle computational rates of 10 kHz or slower. In this paper, we demonstrate reliable cycle-to-cycle rates as fast as 50 kHz. Our system, which we call model reference current injection (MRCI); pronounced merci is also capable of episodic logging of internal state variables and interactive manipulation of model parameters. The limiting factor in achieving high speeds was not processor speed or model complexity, but cycle jitter inherent in the CPU/motherboard performance. We demonstrate these high speeds and flexibility with two examples: 1) adding action-potential ionic currents to a mammalian neuron under whole-cell patch-clamp and 2) altering a cell's intrinsic dynamics via MRCI while simultaneously coupling it via artificial synapses to an internal computational model cell. These higher rates greatly extend the applicability of this technique to the study of fast electrophysiological currents such fast Na+ currents and fast excitatory/inhibitory synapses.