2016
DOI: 10.1007/s10548-016-0518-y
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Auditory Magnetoencephalographic Frequency-Tagged Responses Mirror the Ongoing Segmentation Processes Underlying Statistical Learning

Abstract: Humans are highly sensitive to statistical regularities in their environment. This phenomenon, usually referred as statistical learning, is most often assessed using post-learning behavioural measures that are limited by a lack of sensibility and do not monitor the temporal dynamics of learning. In the present study, we used magnetoencephalographic frequency-tagged responses to investigate the neural sources and temporal development of the ongoing brain activity that supports the detection of regularities embe… Show more

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Cited by 36 publications
(60 citation statements)
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References 54 publications
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“…In this sense, the online tracking offers a continuous measure of learning. This view is compatible with findings regarding the neurobiological underpinning of learning, where specific patterns of neural oscillations reflect predictions or surprise, while the power of this oscillatory activity is a continuous measure of the strength of the upcoming predictions (e.g., Batterink & Paller, 2017; Farthouat et al, 2016; Roux & Uhlhaas, 2014). …”
Section: Discussionsupporting
confidence: 89%
See 1 more Smart Citation
“…In this sense, the online tracking offers a continuous measure of learning. This view is compatible with findings regarding the neurobiological underpinning of learning, where specific patterns of neural oscillations reflect predictions or surprise, while the power of this oscillatory activity is a continuous measure of the strength of the upcoming predictions (e.g., Batterink & Paller, 2017; Farthouat et al, 2016; Roux & Uhlhaas, 2014). …”
Section: Discussionsupporting
confidence: 89%
“…For example, it is reasonable to assume that the overall extent of pattern recognition (measured by offline tests) will not predict abilities related to online language processing, whereas measures tracking the ability to efficiently form predictions regarding upcoming events might serve as better predictors. Given the shortcoming of RTs measures, future research is left with the task of combining behavioral paradigms with parallel neurobiological online measures of SL performance such as Event Related Potentials (e.g., Jost, Conway, Purdy, Walk, & Hendricks, 2015) or change in rhythmic activity (Cashdollar, Ruhnau, Weisz, & Hasson, 2016; Farthouat et al, 2016) as well as eye-tracking procedures (e.g., Kidd, Piantadosi, & Aslin, 2012), in order to tap into the speed of learning at the individual-level and estimate its distinct predictive power. Note also that in our present investigation tracking SL online revealed important constraints regarding the detection of regularities in the visual modality.…”
Section: Discussionmentioning
confidence: 99%
“…The current data and previous studies (Ding et al, 2016, Buiatti et al, 2009, Steinhauer et al, 1999, Farthouat et al, 2016, Meyer et al, 2016, Peelle et al, 2013) show that, during speech listening, cortical activity is concurrently entrained to hierarchical linguistic units, including syllables, words, phrases, and sentences. Neural entrainment to hierarchical linguistic units provides a plausible mechanism to map hierarchical linguistic units into coupled dynamic neural processes that allow interactions between different linguistic levels (Martin and Doumas, 2017, Goswami and Leong, 2013, Giraud and Poeppel, 2012, Wassenhove et al, 2003).…”
Section: Discussionsupporting
confidence: 73%
“…At the end of a temporal sequence, an offset response is often observed (Ding et al, 2016, Nelson et al, 2017, Brennan et al, 2016). Furthermore, the sensory responses to individual events within a temporal chunk are significantly altered by learning (Gavornik and Bear, 2014, Sanders et al, 2002, Yin et al, 2008, Zhou et al, 2010, Farthouat et al, 2016, Buiatti et al, 2009), demonstrating that prior knowledge strongly influences sensory processing of sequences.…”
Section: Introductionmentioning
confidence: 99%
“…More recently the predictability of visual stimuli was shown to modulate the low-frequency activity associated with stimulus presentation: in comparison to predictable second items of a learned pair, unexpected shapes elicited stronger activity in the alpha (7 -14 Hz) range (Zhou et al, 2019). Auditory SL has also been indexed considering longer segments of structured vs. unstructured input, by quantifying the neural entrainment to the temporal structure created by repeating regular sequences (Batterink & Paller, 2017;Farthouat et al, 2017). This entrainment is postulated to reflect the perceptual binding of stimuli into familiar composites (Batterink & Paller, 2017).…”
Section: Introductionmentioning
confidence: 99%