CHAINS: Competition and cooperation between fragmentary event predictors in a Model of Auditory Scene Analysis
CHAINS: Competition and cooperation between fragmentary event predictors in a Model of Auditory Scene Analysis
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链：听觉场景分析模型中碎片事件预测器之间的竞争与合作
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
S. Denham
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作者：
R. Mill;Tamás Bohm;A. Bendixen;I. Winkler;S. Denham
本文提出了一种算法称为链分离的时间模式的事件混合在一起。该算法的动机是任务的听觉系统所面临的，当它试图分析一个声音的混合，以确定有助于它的来源，特别是，源发出定期序列。这项任务是复杂的，因为混合物可以用几种方式解释。例如，一个复杂的模式可能来自一个复杂的来源;或者，它可能来自许多简单来源的相互作用。这里所追求的想法是，大脑试图用短的、不完整的序列（称为链）来解释一个传入的序列。链在输入到达时构建，并且一旦构建，就用于预测输入。一组链可以合并形成一个组织，其中成员链交替生成预测。一条链在做出错误的预测时失败，它所属的任何组织都会崩溃。几个不相容的组织可以并行存在。因此，Chains算法对序列的多种解释保持开放。知觉的多稳定性，即对一个模糊刺激的知觉经验自发地从一种解释转换到另一种解释，似乎需要类似的表征灵活性。
This paper presents an algorithm called Chains for separating temporal patterns of events that are mixed together. The algorithm is motivated by the task the auditory system faces when it attempts to analyse an acoustic mixture to determine the sources that contribute to it, and in particular, sources that emit regular sequences. The task is complicated by the fact that a mixture can be interpreted in several ways. For example, a complex pattern may issue from a complex source; or, alternatively, it may arise from the interaction of many simple sources. The idea pursued here is that the brain attempts to account for an incoming sequence in terms of short, fragmentary sequences, called chains. Chains are built as the input arrives and, once built, are used to predict inputs. A group of chains can coalesce to form an organisation, in which the member chains alternately generate predictions. A chain fails upon making an incorrect prediction, and any organisation it belongs to collapses. Several incompatible organisations can exist in parallel. The Chains algorithm thus remains open to multiple interpretations of a sequence. Perceptual multistability, in which the perceptual experience of an ambiguous stimulus switches spontaneously from one interpretation to another, seems to require a similar flexibility of representation.