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Response to Holroyd et al.: Oscillation dynamics enable (the investigation of) networks

机译:对Holroyd等人的回应:振荡动力学实现了网络的研究

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Constructive criticism and questioning from colleagues are critical to the progression of science. We thank Holroyd, HajiHosseini and Baker for their commentary [1] on our recent Opinion article [21. However, it seems that Holroyd et al. misunderstood the purpose of our Opinion piece. Our goal was to point out that learning and behavior adaptation are achieved by more than just the anterior cingulate and a midbrain dopamine region, and to proffer novel, testable hypotheses grounded in neurophysiological processes for how large-scale cortical networks support learning from valenced feedback. The point of our article was not, as they wrote, to 'discuss the relative strengths of the event-related brain potential (ERP) and time-frequency (TF) techniques for investigating cognitive function'. Because TF- and synchronization-based approaches offer the opportunity to study interactions among large-scale networks with physiologically meaningful data interpretations, these methods are better suited than ERPs to test the hypotheses outlined in our Opinion article.
机译:同事的建设性批评和质疑对科学发展至关重要。我们感谢Holroyd,HajiHosseini和Baker对我们最近的“意见”文章[21]的评论[1]。然而,似乎Holroyd等。误解了我们意见书的目的。我们的目标是指出学习和行为适应不仅通过前扣带和中脑多巴胺区域来实现,而且针对神经网络中神经皮质过程提供新颖的,可检验的假设,以证明大规模皮质网络如何支持从有价反馈中学习。正如他们所写的那样,本文的重点不是“讨论事件相关脑电势(ERP)和时频(TF)技术用于研究认知功能的相对优势”。由于基于TF和同步的方法为研究具有生理意义的数据解释的大型网络之间的交互提供了机会,因此这些方法比ERP更适合于测试我们的观点文章中概述的假设。

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