A mechanistic cortical microcircuit of attention for amplification, normalization and suppression
A mechanistic cortical microcircuit of attention for amplification, normalization and suppression
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DOI：
10.1016/j.visres.2015.04.004
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发表时间：
2015-11-01
期刊：
影响因子：
1.8
通讯作者：
Hamker, Fred H.
中科院分区：
文献类型：
--
作者：
Beuth, Frederik;Hamker, Fred H.
视觉注意的计算模型复制了大量的视觉注意实验数据。然而，通常情况下，每个计算模型被证明只考虑了几个数据集。我们开发了一种新的注意力模型，特别关注于解释多个脑区的单细胞记录，以更好地理解空间和基于特征的偏见竞争、对比度反应函数的调制、神经元调谐曲线的调制以及环绕抑制的调制所涉及的潜在的注意力计算电路。与以往的模型不同，我们采用了一种受分层大脑皮层结构启发的两层结构，它实现了放大、分裂归一化和抑制以及空间池。(C)2015爱思唯尔有限公司。保留所有权利。
Computational models of visual attention have replicated a large number of data from visual attention experiments. However, typically each computational model has been shown to account for only a few data sets. We developed a novel model of attention, particularly focused on explaining single cell recordings in multiple brain areas, to better understand the underlying computational circuits of attention involved in spatial- and feature-based biased competition, modulation of the contrast response function, modulation of the neuronal tuning curve, and modulation of surround suppression. In contrast to previous models, we use a two layer structure inspired by the layered cortical architecture which implements amplification, divisive normalization and suppression as well as spatial pooling. (C) 2015 Elsevier Ltd. All rights reserved.