CHAINS: Competition and cooperation between fragmentary event predictors in a Model of Auditory Scene Analysis

Robert Mill, Tamás Bohm, Alexandra Bendixen, István Winkler, Susan L. Denham

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2011 45th Annual Conference on Information Sciences and Systems, CISS 2011
DOIs
Publication statusPublished - Jun 6 2011
Event2011 45th Annual Conference on Information Sciences and Systems, CISS 2011 - Baltimore, MD, United States
Duration: Mar 23 2011Mar 25 2011

Publication series

Name2011 45th Annual Conference on Information Sciences and Systems, CISS 2011

Other

Other2011 45th Annual Conference on Information Sciences and Systems, CISS 2011
CountryUnited States
CityBaltimore, MD
Period3/23/113/25/11

ASJC Scopus subject areas

  • Information Systems

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    Mill, R., Bohm, T., Bendixen, A., Winkler, I., & Denham, S. L. (2011). CHAINS: Competition and cooperation between fragmentary event predictors in a Model of Auditory Scene Analysis. In 2011 45th Annual Conference on Information Sciences and Systems, CISS 2011 [5766095] (2011 45th Annual Conference on Information Sciences and Systems, CISS 2011). https://doi.org/10.1109/CISS.2011.5766095