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在决策过程中的整合的启动和终止。

Initiation and termination of integration in a decision process.

机构信息

Department of Computer Science, University of Bristol, United Kingdom. :

出版信息

Neural Netw. 2010 Apr;23(3):322-33. doi: 10.1016/j.neunet.2009.11.015. Epub 2009 Dec 3.

DOI:10.1016/j.neunet.2009.11.015
PMID:20080384
Abstract

Experimental data indicate that simple motor decisions in vertebrates are preceded by integration of evidence in certain cortical areas, and that the competition between them is resolved in the basal ganglia. While the occurrence of cortical integration is well established, it is not yet clear exactly how the integration occurs. Several models have been proposed, including the race model, the feed forward inhibition (FFI) model and the leaky competing accumulator (LCA) model. In this paper we establish qualitative and quantitative differences between the above mentioned models, with respect to how they are able to initiate the integration process without integrating noise prior to stimulus onset, as well as the models' ability to terminate the integration after a decision has been made, to ensure the possibility of subsequent decisions. Our results show that the LCA model has advantages over the race model and the FFI model in both respects, leading to shorter decision times and an effective termination process.

摘要

实验数据表明,脊椎动物的简单运动决策是在某些皮质区域的证据整合之前进行的,而它们之间的竞争则在基底神经节中得到解决。虽然皮质整合的发生已经得到很好的证实,但目前还不清楚整合的确切过程。已经提出了几种模型,包括竞赛模型、前馈抑制(FFI)模型和漏失竞争累加器(LCA)模型。在本文中,我们建立了上述模型之间的定性和定量差异,具体表现为它们在没有在刺激开始之前整合噪声的情况下如何启动整合过程,以及模型在做出决策后终止整合的能力,以确保后续决策的可能性。我们的结果表明,LCA 模型在这两个方面都优于竞赛模型和 FFI 模型,从而导致更短的决策时间和有效的终止过程。

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