Literature DB >> 26835560

Resource allocation models of auditory working memory.

Sabine Joseph1, Sundeep Teki2, Sukhbinder Kumar3, Masud Husain4, Timothy D Griffiths5.   

Abstract

Auditory working memory (WM) is the cognitive faculty that allows us to actively hold and manipulate sounds in mind over short periods of time. We develop here a particular perspective on WM for non-verbal, auditory objects as well as for time based on the consideration of possible parallels to visual WM. In vision, there has been a vigorous debate on whether WM capacity is limited to a fixed number of items or whether it represents a limited resource that can be allocated flexibly across items. Resource allocation models predict that the precision with which an item is represented decreases as a function of total number of items maintained in WM because a limited resource is shared among stored objects. We consider here auditory work on sequentially presented objects of different pitch as well as time intervals from the perspective of dynamic resource allocation. We consider whether the working memory resource might be determined by perceptual features such as pitch or timbre, or bound objects comprising multiple features, and we speculate on brain substrates for these behavioural models. This article is part of a Special Issue entitled SI: Auditory working memory.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Auditory objects; Auditory working memory; Memory representations; Non-verbal sounds; Resource models

Mesh:

Year:  2016        PMID: 26835560     DOI: 10.1016/j.brainres.2016.01.044

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  11 in total

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6.  Shared cognitive resources between memory and attention during sound-sequence encoding.

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7.  Working Memory for Sequences of Temporal Durations Reveals a Volatile Single-Item Store.

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Review 8.  Short-term memory for spatial, sequential and duration information.

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9.  Brain Bases of Working Memory for Time Intervals in Rhythmic Sequences.

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Journal:  Front Neurosci       Date:  2016-06-01       Impact factor: 4.677

10.  Toward a taxonomic model of attention in effortful listening.

Authors:  Daniel J Strauss; Alexander L Francis
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