混沌与随机动力学:对多巴胺神经元非线性序列依赖结构证据的批判性观察。

C C Canavier, P D Shepard
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引用次数: 3

摘要

中脑多巴胺神经元的放电模式被认为具有重要的行为后果。尽管这些神经元在体外被剥夺传入输入时有规律地放电,但它们在体内通常不规律地放电。目前尚不清楚这种不规则性是否在功能上很重要,以及它是否源于多巴胺神经元的内在特性或网络相互作用。也不知道这种不规则的射击模式本质上是随机的还是确定性的。区分与混沌相关的确定性非线性结构和包含相关噪声的其他结构来源是一个本质上非平凡的问题。在这里,我们解释了非线性动力学领域提供的几何工具及其在中脑多巴胺神经元峰间间隔(ISI)数据分析中的应用。一项研究未能找到非线性决定论的有力证据,但其他研究已经确定了这种结构,并将其与网络相互作用联系起来。
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Chaotic versus stochastic dynamics: a critical look at the evidence for nonlinear sequence dependent structure in dopamine neurons.

The firing pattern of midbrain dopamine neurons is thought to have important behavioral consequences. Although these neurons fire regularly in vitro when deprived of their afferent inputs, they usually fire irregularly in vivo. It is not known whether the irregularity is functionally important and whether it derives from the intrinsic properties of dopamine neurons or network interactions. It is also not known whether the irregular firing pattern is fundamentally stochastic or deterministic in nature. Distinguishing between the deterministic nonlinear structure associated with chaos and other sources of structure including correlated noise is an inherently nontrivial problem. Here we explain the geometric tools provided by the field of nonlinear dynamics and their application to the analysis of interspike interval (ISI) data from midbrain dopamine neurons. One study failed to find strong evidence of nonlinear determinism, but others have identified such a structure and correlated it with network interactions.

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