On the time-course and frequency selectivity of the EEG for different modes of response selection: Evidence from speech production and keyboard pressing

The production of speech is a multistep process requiring close coordination between neurolinguistic, neurocognitive, and neuromotor processes to communicate fluently and seemingly effortlessly. This complex process, which combines speech-specific and domain-general neural mechanisms, involves a closed repertoire of motor programs to control over 100 muscles distributed over the face, neck, and abdomen. The process requires neuromotor mechanisms to implement phonological planning, response selection, sequencing, and timing, contextual adjustments of the motor programs, as well as action execution and response monitoring. Recent advances in neuroimaging and neuromodulation techniques have led to the emergence of neurobiologically realistic models of speech production, leading to more comprehensive understanding of the mechanisms involved in producing speech. This chapter reviews the most up-to-date knowledge on the neural organization of the brain systems involved in producing speech.

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Slipping on superlemmas

The Mental Lexicon ◽

10.1075/ml.2.3.03kui ◽

2007 ◽

Vol 2 (3) ◽

pp. 313-357 ◽

Cited By ~ 21

Author(s):

Koenraad Kuiper ◽

Marie-Elaine van Egmond ◽

Gerard Kempen ◽

Simone Sprenger

Keyword(s):

Speech Production ◽

Time Course ◽

Activation Patterns ◽

Naturally Occurring ◽

Slips Of The Tongue ◽

Argument Proceeds ◽

The Impact ◽

Lexical Concepts ◽

Selection Of ◽

Experimentally Induced

Only relatively recently have theories of speech production concerned themselves with the part idioms and other multi-word lexical items (MLIs) play in the processes of speech production. Two theories of speech production which attempt to account for the accessing of idioms in speech production are those of Cutting and Bock (1997) and superlemma theory (Sprenger, 2003; Sprenger, Levelt, & Kempen, 2006). Much of the data supporting theories of speech production comes either from time course experiments or from slips of the tongue (Bock & Levelt, 1994). The latter are of two kinds: experimentally induced (Baars, 1992) or naturally observed (Fromkin, 1980). Cutting and Bock use experimentally induced speech errors while Sprenger et al. use time course experiments. The missing data type that has a bearing on speech production involving MLIs is that of naturally occurring slips. In this study the impact of data taken from naturally observed slips involving English and Dutch MLIs are brought to bear on these theories. The data are taken initially from a corpus of just over 1000 naturally observed English slips involving MLIs (the Tuggy corpus). Our argument proceeds as follows. First we show that slips occur independent of whether or not there are MLIs involved. In other words, speech production proceeds in certain of its aspects as though there were no MLI present. We illustrate these slips from the Tuggy data. Second we investigate the predictions of superlemma theory. Superlemma theory (Sprenger et al., 2006) accounts for the selection of MLIs and how their properties enter processes of speech production. It predicts certain activation patterns dependent on a MLI being selected. Each such pattern might give rise to slips of the tongue. This set of predictions is tested against the Tuggy data. Each of the predicted activation patterns yields a significant number of slips. These findings are therefore compatible with a view of MLIs as single units in so far as their activation by lexical concepts goes. However, the theory also predicts that some slips are likely not to occur. We confirm that such slips are not present in the data. These findings are further corroborated by reference a second smaller dataset of slips involving Dutch MLIs (the Kempen corpus). We then use slips involving irreversible binomials to distinguish between the predictions of superlemma theory which are supported by slips involving irreversible binomials and the Cutting and Bock model’s predictions for slips involving these MLIs which are not.

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The shape of things to come in speech production: Visual form interference during lexical access

Quarterly Journal of Experimental Psychology ◽

10.1080/17470218.2017.1367018 ◽

2018 ◽

Vol 71 (9) ◽

pp. 1921-1938 ◽

Cited By ~ 1

Author(s):

Greig I de Zubicaray ◽

Mia McLean ◽

Frank Oppermann ◽

Aidan Hegarty ◽

Katie McMahon ◽

...

Keyword(s):

Speech Production ◽

Lexical Access ◽

Response Selection ◽

Lexical Selection ◽

Semantic Interference ◽

Visual Form ◽

Conceptual Processing ◽

Production Models ◽

To Come ◽

Selection Mechanisms

Naming a picture is slower in categorically related compared with unrelated contexts, an effect termed semantic interference. This effect has informed the development of all contemporary models of lexical access in speech production. However, category members typically share visual features, so semantic interference might in part reflect this confound. Surprisingly, little work has addressed this issue, and the relative absence of evidence for visual form interference has been proposed to be problematic for production models implementing competitive lexical selection mechanisms. In a series of five experiments using two different naming paradigms, we demonstrate a reliable visual form interference effect in the absence of a category relation and show the effect is more likely to originate during lexical or later response selection than during perceptual/conceptual processing. We conclude visual form interference in naming is a significant complicating factor for studies of semantic interference effects and discuss the implications for current accounts of lexical access in spoken word production.

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The time course of lexical access in speech production: A study of picture naming.

Psychological Review ◽

10.1037/0033-295x.98.1.122 ◽

1991 ◽

Vol 98 (1) ◽

pp. 122-142 ◽

Cited By ~ 289

Author(s):

Willem J. M. Levelt ◽

Herbert Schriefers ◽

Dirk Vorberg ◽

Antje S. Meyer ◽

Thomas Pechmann ◽

...

Keyword(s):

Speech Production ◽

Lexical Access ◽

Picture Naming ◽

Time Course

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Development of Cochlear Amplification, Frequency Tuning, and Two-Tone Suppression in the Mouse

Journal of Neurophysiology ◽

10.1152/jn.00983.2007 ◽

2008 ◽

Vol 99 (1) ◽

pp. 344-355 ◽

Cited By ~ 15

Author(s):

Lei Song ◽

JoAnn McGee ◽

Edward J. Walsh

Keyword(s):

Time Course ◽

Frequency Tuning ◽

Tuning Curve ◽

Frequency Region ◽

Frequency Selectivity ◽

Tuning Curves ◽

Equivalent Time ◽

Cochlear Amplification ◽

Narrow Frequency Band ◽

Dynamic Operating

It is generally believed that the micromechanics of active cochlear transduction mature later than passive elements among altricial mammals. One consequence of this developmental order is the loss of transduction linearity, because an active, physiologically vulnerable process is superimposed on the passive elements of transduction. A triad of sensory advantage is gained as a consequence of acquiring active mechanics; sensitivity and frequency selectivity (frequency tuning) are enhanced and dynamic operating range increases. Evidence supporting this view is provided in this study by tracking the development of tuning curves in BALB/c mice. Active transduction, commonly known as cochlear amplification, enhances sensitivity in a narrow frequency band associated with the “tip” of the tuning curve. Passive aspects of transduction were assessed by considering the thresholds of responses elicited from the tuning curve “tail,” a frequency region that lies below the active transduction zone. The magnitude of cochlear amplification was considered by computing tuning curve tip-to-tail ratios, a commonly used index of active transduction gain. Tuning curve tip thresholds, frequency selectivity and tip-to-tail ratios, all indices of the functional status of active biomechanics, matured between 2 and 7 days after tail thresholds achieved adultlike values. Additionally, two-tone suppression, another product of active cochlear transduction, was first observed in association with the earliest appearance of tuning curve tips and matured along an equivalent time course. These findings support a traditional view of development in which the maturation of passive transduction precedes the maturation of active mechanics in the most sensitive region of the mouse cochlea.

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