Hierarchical Sequencing and Feedforward and Feedback Control Mechanisms in Speech Production: A Preliminary Approach for Modeling Normal and Disordered Speech

Our understanding of the neurofunctional mechanisms of speech production and their pathologies is still incomplete. In this paper, a comprehensive model of speech production based on the Neural Engineering Framework (NEF) is presented. This model is able to activate sensorimotor plans based on cogni...

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Main Authors: Bernd J. Kröger, Catharina Marie Stille, Peter Blouw, Trevor Bekolay, Terrence C. Stewart
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Computational Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2020.573554/full
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author Bernd J. Kröger
Catharina Marie Stille
Peter Blouw
Peter Blouw
Trevor Bekolay
Trevor Bekolay
Terrence C. Stewart
author_facet Bernd J. Kröger
Catharina Marie Stille
Peter Blouw
Peter Blouw
Trevor Bekolay
Trevor Bekolay
Terrence C. Stewart
author_sort Bernd J. Kröger
collection DOAJ
description Our understanding of the neurofunctional mechanisms of speech production and their pathologies is still incomplete. In this paper, a comprehensive model of speech production based on the Neural Engineering Framework (NEF) is presented. This model is able to activate sensorimotor plans based on cognitive-functional processes (i.e., generation of the intention of an utterance, selection of words and syntactic frames, generation of the phonological form and motor plan; feedforward mechanism). Since the generation of different states of the utterance are tied to different levels in the speech production hierarchy, it is shown that different forms of speech errors as well as speech disorders can arise at different levels in the production hierarchy or are linked to different levels and different modules in the speech production model. In addition, the influence of the inner feedback mechanisms on normal as well as on disordered speech is examined in terms of the model. The model uses a small number of core concepts provided by the NEF, and we show that these are sufficient to create this neurobiologically detailed model of the complex process of speech production in a manner that is, we believe, clear, efficient, and understandable.
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spelling doaj.art-360bd5e854f04ea0bcd30c56c203ec1b2022-12-21T18:15:19ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882020-11-011410.3389/fncom.2020.573554573554Hierarchical Sequencing and Feedforward and Feedback Control Mechanisms in Speech Production: A Preliminary Approach for Modeling Normal and Disordered SpeechBernd J. Kröger0Catharina Marie Stille1Peter Blouw2Peter Blouw3Trevor Bekolay4Trevor Bekolay5Terrence C. Stewart6Department for Phoniatrics, Pedaudiology and Communication Disorders, Medical Faculty, RWTH Aachen University, Aachen, GermanyDepartment for Phoniatrics, Pedaudiology and Communication Disorders, Medical Faculty, RWTH Aachen University, Aachen, GermanyApplied Brain Research, Waterloo, ON, CanadaCentre for Theoretical Neuroscience, University of Waterloo, Waterloo, ON, CanadaApplied Brain Research, Waterloo, ON, CanadaCentre for Theoretical Neuroscience, University of Waterloo, Waterloo, ON, CanadaNational Research Council of Canada, University of Waterloo Collaboration Centre, Waterloo, ON, CanadaOur understanding of the neurofunctional mechanisms of speech production and their pathologies is still incomplete. In this paper, a comprehensive model of speech production based on the Neural Engineering Framework (NEF) is presented. This model is able to activate sensorimotor plans based on cognitive-functional processes (i.e., generation of the intention of an utterance, selection of words and syntactic frames, generation of the phonological form and motor plan; feedforward mechanism). Since the generation of different states of the utterance are tied to different levels in the speech production hierarchy, it is shown that different forms of speech errors as well as speech disorders can arise at different levels in the production hierarchy or are linked to different levels and different modules in the speech production model. In addition, the influence of the inner feedback mechanisms on normal as well as on disordered speech is examined in terms of the model. The model uses a small number of core concepts provided by the NEF, and we show that these are sufficient to create this neurobiologically detailed model of the complex process of speech production in a manner that is, we believe, clear, efficient, and understandable.https://www.frontiersin.org/articles/10.3389/fncom.2020.573554/fullneurocomputational modelcomputer simulationspeech processingspeech disordersaphasiahierarchical sequencing
spellingShingle Bernd J. Kröger
Catharina Marie Stille
Peter Blouw
Peter Blouw
Trevor Bekolay
Trevor Bekolay
Terrence C. Stewart
Hierarchical Sequencing and Feedforward and Feedback Control Mechanisms in Speech Production: A Preliminary Approach for Modeling Normal and Disordered Speech
Frontiers in Computational Neuroscience
neurocomputational model
computer simulation
speech processing
speech disorders
aphasia
hierarchical sequencing
title Hierarchical Sequencing and Feedforward and Feedback Control Mechanisms in Speech Production: A Preliminary Approach for Modeling Normal and Disordered Speech
title_full Hierarchical Sequencing and Feedforward and Feedback Control Mechanisms in Speech Production: A Preliminary Approach for Modeling Normal and Disordered Speech
title_fullStr Hierarchical Sequencing and Feedforward and Feedback Control Mechanisms in Speech Production: A Preliminary Approach for Modeling Normal and Disordered Speech
title_full_unstemmed Hierarchical Sequencing and Feedforward and Feedback Control Mechanisms in Speech Production: A Preliminary Approach for Modeling Normal and Disordered Speech
title_short Hierarchical Sequencing and Feedforward and Feedback Control Mechanisms in Speech Production: A Preliminary Approach for Modeling Normal and Disordered Speech
title_sort hierarchical sequencing and feedforward and feedback control mechanisms in speech production a preliminary approach for modeling normal and disordered speech
topic neurocomputational model
computer simulation
speech processing
speech disorders
aphasia
hierarchical sequencing
url https://www.frontiersin.org/articles/10.3389/fncom.2020.573554/full
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