On the Effects of Signal Acuity in a Multi-Alternative Model of Decision Making
On the Effects of Signal Acuity in a Multi-Alternative Model of Decision Making
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DOI：
10.1162/neco.2009.01-09-938
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发表时间：
2010-02-01
影响因子：
2.9
通讯作者：
Behseta, Sam
中科院分区：
文献类型：
--
作者：
McMillen, Tyler;Behseta, Sam
我们考虑信号清晰度或敏锐度对决策神经模型性能的影响。在这些模型中，给出了一个信号向量，受试者必须决定该向量的哪个元素最大。 McMillen 和 Holmes (2006) 在信号向量的元素除了一个之外都相等的假设下导出了渐近最优检验。在这封信中，我们考虑信号围绕峰值传播的情况。敏锐度是信号峰值强度的度量。我们发现，最佳测试是检测器通过输出层，该输出层对输入信号的可能形状的知识进行编码。这种输出层的结合可以显着改善决策任务。
We consider the effects of signal sharpness or acuity on the performance of neural models of decision making. In these models, a vector of signals is presented, and the subject must decide which of the elements of the vector is the largest. McMillen and Holmes (2006) derived asymptotically optimal tests under the assumption that the elements of the signal vector were all equal except one. In this letter, we consider the case of signals spread around a peak. The acuity is a measure of how strongly peaked the signal is. We find that the optimal test is one in which the detectors are passed through an output layer that encodes knowledge of the possible shapes of the incoming signals. The incorporation of such an output layer can lead to significant improvements in decision-making tasks.