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神经振荡器中的弱相位重置

Weak phase-resetting in neural oscillators.

作者信息

Butera R, Preyer A

机构信息

Laboratory for Neuroengineering, Georgia Institute of Technology, Atlanta, GA; School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA; Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA.

出版信息

Conf Proc IEEE Eng Med Biol Soc. 2005;2005:4324-6. doi: 10.1109/IEMBS.2005.1615422.

Abstract

Phase-resetting experiments have frequently been employed to understand the input/output dynamics of oscillatory physiological systems, such as the respiratory and cardiovascular systems. Analogous techniques based on phase-oscillator models have often been used in computational studies of neuronal networks. These models are often simplified by assuming weak coupling between neurons. This assumption has powerful ramifications for both experimental and theoretical studies, yet it has never been demonstrated in living neurons. Here we examine phase response curves (PRCs) for neurons with different stimulus waveforms. Focusing on amplitude, we show that weak amplitude stimuli create PRCs that scale linearly with amplitude, while strong do not. This is the first step in demonstrating that weak coupling occurs in living neurons. We also show that this notion of weak coupling is more stringent than the geometric classification of weak coupling frequently associated with experimental PRC analysis.

摘要

相位重置实验经常被用于理解振荡生理系统的输入/输出动态,比如呼吸和心血管系统。基于相位振荡器模型的类似技术经常被用于神经网络的计算研究中。这些模型通常通过假设神经元之间的弱耦合来简化。这一假设对实验和理论研究都有重大影响,但从未在活神经元中得到证实。在这里,我们研究了具有不同刺激波形的神经元的相位响应曲线(PRC)。聚焦于振幅,我们发现弱振幅刺激产生的PRC与振幅呈线性比例关系,而强振幅刺激则不然。这是证明活神经元中存在弱耦合的第一步。我们还表明,这种弱耦合的概念比通常与实验PRC分析相关的弱耦合几何分类更为严格。

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