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Neurophysiological Markers of Statistical Learning in Music and Language: Hierarchy, Entropy, and Uncertainty

Tatsuya Daikoku
2018 Brain Sciences  
Furthermore, this article discusses the relationships between the order of transitional probabilities (TPs) (i.e., hierarchy of local statistics) and entropy (i.e., global statistics) regarding SL strategies  ...  in human's brains; claims importance of information-theoretical approaches to understand domain-general, higher-order, and global SL covering both real-world music and language; and proposes promising  ...  The development of primary cortical acoustic representations can be shaped by the higher-order TP of stimulus sequences [58] .  ... 
doi:10.3390/brainsci8060114 pmid:29921829 pmcid:PMC6025354 fatcat:lqhjnxdcarf4zer275iagdcb2m

Single, but not dual, attention facilitates statistical learning of two concurrent auditory sequences

Tatsuya Daikoku, Masato Yumoto
2017 Scientific Reports  
Several studies demonstrated that the statistical learning of tone sequences could be reflected in neural responses elicited in the auditory cortex 10-17 ; auditory responses to tones that appeared with  ...  However, when auditory sequences of complex tones were presented, statistical learning was reflected in N1 m 13, 14, 17 .  ...  The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.  ... 
doi:10.1038/s41598-017-10476-x pmid:28860466 pmcid:PMC5579031 fatcat:owpn6nn5zzf7znb4675cpljkb4

Physical fitness modulates incidental but not intentional statistical learning of simultaneous auditory sequences during concurrent physical exercise

Tatsuya Daikoku, Yuji Takahashi, Hiroko Futagami, Nagayoshi Tarumoto, Hideki Yasuda
2016 Neurological Research  
In the experiment 1, performance of statistical learning of ignored sequences during concurrent pedaling could be higher in the participants with high than low physical fitness, whereas in attended sequence  ...  The improvement in physical fitness might facilitate incidental but not intentional statistical learning of simultaneous auditory sequences during concurrent physical exercise.  ...  Improvement of physical fitness might facilitate incidental statistical learning of simultaneous auditory sequences while concurrent physical exercise.  ... 
doi:10.1080/01616412.2016.1273571 pmid:28034012 fatcat:hdnlqmez4nf53ig7pri4izkbsq

Automatic and feature-specific prediction-related neural activity in the human auditory system

Gianpaolo Demarchi, Gaëtan Sanchez, Nathan Weisz
2019 Nature Communications  
We show that increasing the regularity of the sequence boosts carrier-frequency-specific neural activity patterns during both the anticipatory and omission periods, indicating that prediction-related neural  ...  However, in the auditory modality, it is not known whether prediction-related neural signals carry feature-specific information.  ...  would be crucial in establishing and maintaining neural representations of the statistical regularity of the sound sequence.  ... 
doi:10.1038/s41467-019-11440-1 pmid:31371713 pmcid:PMC6672009 fatcat:yicq53gc55bqhpefdurbq5er34

Statistical Learning [chapter]

Eric Martin, Samuel Kaski, Fei Zheng, Geoffrey I. Webb, Xiaojin Zhu, Ion Muslea, Kai Ming Ting, Michail Vlachos, Risto Miikkulainen, Alan Fern, Miles Osborne, Luc De Raedt (+13 others)
2011 Encyclopedia of Machine Learning  
A handful of functional magnetic resonance imaging (fMRI) studies have investigated the neural basis of this kind of auditory statistical learning.  ...  The syllables within a word always appeared in the same sequence, but the order of words was random.  ... 
doi:10.1007/978-0-387-30164-8_782 fatcat:a3u77zfgore63jdwsthnhtgspi

Auditory-induced neural dynamics in sensory-motor circuitry predict learned temporal and sequential statistics of birdsong

Kristofer E. Bouchard, Michael S. Brainard
2016 Proceedings of the National Academy of Sciences of the United States of America  
Here, we test the hypotheses that the dynamics of internally generated neural activity are predictive of future events and are structured by the learned temporal-sequential statistics of those events.  ...  Despite the essential nature of this computation, there are few studies demonstrating neural activity that predicts specific events in learned, probabilistic sequences.  ...  This work was supported by the Howard Hughes Medical Institute, National Institutes of Health Grant DC006636 (to M.S.B.), National Science Foundation Grant IOS0951348 (to M.S.B.), and a National Science  ... 
doi:10.1073/pnas.1606725113 pmid:27506786 pmcid:PMC5003256 fatcat:tnfp24blzze3farpetnzoxulki

Prediction-related neural activity during silent periods is sharply tuned [article]

Gianpaolo Demarchi, Gaetan Sanchez, Nathan Weisz
2018 bioRxiv   pre-print
Using multivariate decoding analysis, our main finding is that only during an ordered (most predictable) sensory context does neural activity during omission periods contain carrier frequency specific  ...  Especially in the visual modality, an increasing number of studies show that prediction-related neural signals carry feature-specific information about the stimulus.  ...  driving inputs into higher order cortical areas (e.g. frontal cortex).  ... 
doi:10.1101/266841 fatcat:36x75hqifbabja6jb23nvwrtg4

Concurrent Statistical Learning of Ignored and Attended Sound Sequences: An MEG Study

Tatsuya Daikoku, Masato Yumoto
2019 Frontiers in Human Neuroscience  
The present study examined how the statistical learning (SL) of two overlapping sound sequences is reflected in neurophysiological and behavioral responses, and how the learning effects are modulated by  ...  In an auditory environment, humans are frequently exposed to overlapping sound sequences such as those made by human voices and musical instruments, and we can acquire information embedded in these sequences  ...  Thus, suppression of an early component of auditory responses to stimuli with a higher TP in lower cortical areas can be regarded as a transient expression of prediction error that is suppressed by predictions  ... 
doi:10.3389/fnhum.2019.00102 pmid:31057378 pmcid:PMC6481113 fatcat:t2vnubs2vndn7hclycnzzqp5b4

Neural Correlate of Transition Violation and Deviance Detection in the Songbird Auditory Forebrain

Mingwen Dong, David S. Vicario
2018 Frontiers in Systems Neuroscience  
These findings suggest that learning transition patterns and detecting deviants in natural sequences may depend on a hierarchy of neural mechanisms, which may be involved in more complex forms of auditory  ...  In the absence of expectation, repetition suppresses neural responses to the 2nd stimulus in the repetition.  ...  ACKNOWLEDGMENTS We thank Efe Soyman for his valuable comments on the earlier versions of this manuscript. We thank Mimi L. Phan and Brittany A. Bell for their help and support.  ... 
doi:10.3389/fnsys.2018.00046 pmid:30356811 pmcid:PMC6190688 fatcat:rz7zyx6jl5gofe73cn2jtv2jam

Learning hierarchical sequence representations across human cortex and hippocampus

Simon Henin, Nicholas B Turk-Browne, Daniel Friedman, Anli Liu, Patricia Dugan, Adeen Flinker, Werner Doyle, Orrin Devinsky, Lucia Melloni
2021 Science Advances  
To investigate sequence encoding in cortex and hippocampus, we recorded from intracranial electrodes in human subjects as they were exposed to auditory and visual sequences containing temporal regularities  ...  We find neural tracking of regularities within minutes, with characteristic profiles across brain areas.  ...  The datasets generated and code used to generate the main findings of the current study are available from the corresponding author upon reasonable request.  ... 
doi:10.1126/sciadv.abc4530 pmid:33608265 pmcid:PMC7895424 fatcat:a3cfeqj64jcwhfb5hfpkiygo6a

Statistical Learning in Speech: A Biologically Based Predictive Learning Model [article]

John Rohrlich, Randall C. O'Reilly
2021 arXiv   pre-print
Our neural network based on that work also models the auditory cortex hierarchy of core, belt and parabelt and the caudal-rostral axis within regions.  ...  We build on recent work that advanced a biologically plausible model of error backpropagation learning which proposes that higher order thalamic nuclei provide a locale for a temporal difference between  ...  All of this is consistent with a traditional model of the auditory system. Computational Model The model goes further by including the higher order thalamic areas (e.g.  ... 
arXiv:2108.06065v1 fatcat:awug7htnqzdjrdqsnmnvjb3rxe

Uncertainty in visual and auditory series is coded by modality-general and modality-specific neural systems

Samuel Nastase, Vittorio Iacovella, Uri Hasson
2013 Human Brain Mapping  
Coding for the degree of disorder in a temporally unfolding sensory input allows for optimized encoding of these inputs via information compression and predictive processing.  ...  For auditory series, sensitivity was found in inferior frontal, lateral temporal, and supplementary motor regions implicated in speech perception and sequencing.  ...  of surprise, uncertainty or predictability in short sequences [Garner, 1962] .  ... 
doi:10.1002/hbm.22238 pmid:23408389 fatcat:4ijlop2f4bdrxohu2p5fa7uekm

Musical expertise is associated with improved neural statistical learning [article]

Jacques Pesnot Lerousseau, Daniele Schon
2020 bioRxiv   pre-print
Our results confirm that musicians perform ~15% better than non-musicians at predicting items in auditory sequences that embed either simple or complex statistics.  ...  EEG recordings reveal a neural underpinning of the musicians advantage: the P300 amplitude correlates with the Bayesian model surprise elicited by each item, and so, more strongly for musicians than non-musicians  ...  Musicians are better than non-musicians at predicting the forthcoming items of auditory sequences that embed either simple or complex statistics. A. Paradigm.  ... 
doi:10.1101/2020.05.20.106187 fatcat:6bbbchfabvhsffd46vi37wgugq

Prior Experience Biases Subcortical Sensitivity to Sound Patterns

Erika Skoe, Jennifer Krizman, Emily Spitzer, Nina Kraus
2015 Journal of Cognitive Neuroscience  
For the more musical sequence, participants performed above chance when tested on their recognition of the most predictable two-tone combinations within the sequence (TP of 100%); in this case, the cABR  ...  In this study, we examined this neural sensitivity to patterns within the auditory brainstem, an evolutionarily ancient part of the brain that can be fine-tuned by experience and is integral to an array  ...  We extend our thanks to Beverly Wright for her discussion of the data and Scott Miller for sharing his stimuli.  ... 
doi:10.1162/jocn_a_00691 pmid:25061926 fatcat:t2h5piapvbd6dgxolytr5at6cy

Dynamics of nonlinguistic statistical learning: From neural entrainment to the emergence of explicit knowledge [article]

Julia Moser, Laura Batterink, Yiwen Li Hegner, Franziska Schleger, Christoph Braun, Ken A. Paller, Hubert Preissl
2020 bioRxiv   pre-print
Twenty-four healthy volunteers were exposed to structured and random tone sequences, and statistical learning was quantified by neural entrainment.  ...  In the present study, we investigated these different aspects of statistical learning by using an auditory nonlinguistic statistical learning paradigm combined with magnetoencephalography.  ...  A further analysis examining coupling between brain beta frequency activity and speech delta phase showed a progression of speech prediction from higher order frontal areas to the auditory cortices (Park  ... 
doi:10.1101/2020.07.30.228130 fatcat:a5iws3ngv5h5rdf53dzdz7bliy
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