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Competition with and without priority control: linking rivalry to attention through winner-take-all networks with memory

机译:有无优先控制权的竞争:通过赢家通吃的网络与记忆将竞争与注意力联系起来

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摘要

Competition is ubiquitous in perception. For example, items in the visual field compete for processing resources, and attention controls their priority (biased competition). The inevitable ambiguity in the interpretation of sensory signals yields another form of competition: distinct perceptual interpretations compete for access to awareness. Rivalry, where two equally likely percepts compete for dominance, explicates the latter form of competition. Building upon the similarity between attention and rivalry, we propose to model rivalry by a generic competitive circuit that is widely used in the attention literature—a winner-take-all (WTA) network. Specifically, we show that a network of two coupled WTA circuits replicates three common hallmarks of rivalry: the distribution of dominance durations, their dependence on input strength (“Levelt's propositions”), and the effects of stimulus removal (blanking). This model introduces a form of memory by forming discrete states and explains experimental data better than competitive models of rivalry without memory. This result supports the crucial role of memory in rivalry specifically and in competitive processes in general. Our approach unifies the seemingly distinct phenomena of rivalry, memory, and attention in a single model with competition as the common underlying principle.
机译:竞争无处不在。例如,视野中的项目争夺处理资源,注意力控制其优先级(有偏竞争)。感官信号解释中不可避免的歧义产生了另一种竞争形式:不同的感知解释竞争获得知觉的机会。竞争是两个同样可能的竞争者争夺统治地位,而竞争则说明了后者的竞争形式。基于注意力和竞争之间的相似性,我们建议通过注意力文献中广泛使用的通用竞争电路-赢家通吃(WTA)网络来对竞争进行建模。具体而言,我们表明,由两个耦合的WTA电路组成的网络可复制三个常见的竞争特征:优势持续时间的分布,它们对输入强度的依赖性(“ Levelt命题”)以及刺激消除的效果(空白)。该模型通过形成离散状态来引入一种记忆形式,并且比没有记忆的竞争性竞争模型更好地解释了实验数据。这一结果支持了记忆在竞争中和一般竞争过程中的关键作用。我们的方法将竞争,记忆和注意力看似独特的现象统一在一个以竞争为基本原则的模型中。

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