人类神经调节的计算基础。

P Read Montague, Kenneth T Kishida
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引用次数: 17

摘要

我们总结了一种新的神经调节剂检测方法,该方法可以在亚秒时间尺度上对多巴胺、血清素和去甲肾上腺素进行局部检测,并有望提供亚毫秒的估计。该方法,弹性网电化学,被用来估计在有意识的人类受试者的纹状体在积极决策期间多巴胺和血清素。我们展示了一个原理验证的例子,同样的方法在商业上可用的深度电极上工作,这种电极通常用于人类癫痫监测和神经外科计划,这进一步承诺使这种电极成为人类受试者从未获得的快速神经调节剂信息的来源。我们讨论了这种方法的含义,使直接测试人类的计算由这三个重要的神经调节系统进行。这些方法在模式生物中也有很大的应用前景,但本章的重点是人类使用的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Computational Underpinnings of Neuromodulation in Humans.

Computational Underpinnings of Neuromodulation in Humans.

Computational Underpinnings of Neuromodulation in Humans.

Computational Underpinnings of Neuromodulation in Humans.

We summarize a new approach to neuromodulator detection that provides colocalized detection of dopamine, serotonin, and norepinephrine at subsecond timescales and promises to provide submillisecond estimates of the same. The methodology, elastic net electrochemistry, is used to estimate dopamine and serotonin in the striatum of conscious human subjects during active decision-making. We show a proof-of-principle example of the same method working on commercially available depth electrodes in common use for epilepsy monitoring and neurosurgical planning in humans, which further promises to make such electrodes sources of fast neuromodulator information never before available in human subjects. We discuss the implications of this methodology for making direct tests in humans of the computations carried by these three important neuromodulatory systems. The methods also promise great utility in model organisms, but this chapter focuses on the possibilities for human use.

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