Predictive Regularity Representations in Violation Detection and Auditory Stream Segregation: From Conceptual to Computational Models

Predictive Regularity Representations in Violation Detection and Auditory Stream Segregation: From Conceptual to Computational Models
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违规检测和听觉流分离中的预测规律性表示:从概念到计算模型

DOI:
10.1007/s10548-013-0334-6
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发表时间:
2014
期刊:
影响因子:
2.7
通讯作者:
Winkler
Winkler
中科院分区:
医学3区
文献类型:
--
作者:
Schröger;Bendixen;Denham;Winkler

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在过去的20年里,对感知的预测性描述受到了越来越多的关注。通过失配负性(MMN)听觉事件相关电位所反映的听觉规律的检测,是与该方法无缝匹配的现象之一。在此基础上,我们提出了听觉事件表征系统(AERS)的心理学概念框架,该框架基于听觉规则违规检测和听觉感知对象的形成是基于相同的预测规则表征的假设。基于这个概念,听觉流分离的计算模型,称为链,已经被开发出来。在链中,每个传入声音的听觉事件表征被认为是序列中前面声音的可能组合的延续,从而提供了对听觉输入的替代解释。检测重复模式可以预测即将到来的声音事件,从而为相应的解释提供测试和潜在支持。不同的解释不断争夺知觉优势。在本文中,我们简要地描述了AERS,并从这个概念模型推导出一些一般约束。然后,我们继续说明这些约束是如何在chain中计算指定的。
Predictive accounts of perception have received increasing attention in the past 20 years. Detecting violations of auditory regularities, as reflected by the Mismatch Negativity (MMN) auditory event-related potential, is amongst the phenomena seamlessly fitting this approach. Largely based on the MMN literature, we propose a psychological conceptual framework called the Auditory Event Representation System (AERS), which is based on the assumption that auditory regularity violation detection and the formation of auditory perceptual objects are based on the same predictive regularity representations. Based on this notion, a computational model of auditory stream segregation, called CHAINS, has been developed. In CHAINS, the auditory sensory event representation of each incoming sound is considered for being the continuation of likely combinations of the preceding sounds in the sequence, thus providing alternative interpretations of the auditory input. Detecting repeating patterns allows predicting upcoming sound events, thus providing a test and potential support for the corresponding interpretation. Alternative interpretations continuously compete for perceptual dominance. In this paper, we briefly describe AERS and deduce some general constraints from this conceptual model. We then go on to illustrate how these constraints are computationally specified in CHAINS.
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: --
发表时间: 2011
期刊: Annual Conference on Information Sciences and Systems
影响因子: --
作者:
R. Mill;Tamás Bohm;A. Bendixen;I. Winkler;S. Denham
通讯作者: S. Denham
听觉流分离的多稳定性:预测编码视图
DOI: --
发表时间: 2012
期刊: Philosophical Transactions of the Royal Society B: Biological Sciences
影响因子: --
作者:
I. Winkler;S. Denham;R. Mill;Tamás Bohm;A. Bendixen
通讯作者: A. Bendixen
DOI: 10.1027/0269-8803.21.34.204
发表时间: 2007-01-01
影响因子: 1.3
作者:
Baldeweg, Torsten
通讯作者: Baldeweg, Torsten
DOI: 10.1037/0278-7393.19.4.909
发表时间: 1993-07-01
影响因子: 2.6
作者:
COWAN, N;WINKLER, I;NAATANEN, R
通讯作者: NAATANEN, R
DOI: 10.1007/bf00198477
发表时间: 1992-01-01
影响因子: 1.9
作者:
MUMFORD, D
通讯作者: MUMFORD, D