Parallel processing in speech perception with local and global representations of linguistic context

  1. Christian Brodbeck  Is a corresponding author
  2. Shohini Bhattasali
  3. Aura AL Cruz Heredia
  4. Philip Resnik
  5. Jonathan Z Simon
  6. Ellen Lau
  1. University of Connecticut, United States
  2. University of Maryland, United States
  3. University of Pennsylvania, United States

Abstract

Speech processing is highly incremental. It is widely accepted that human listeners continuously use the linguistic context to anticipate upcoming concepts, words, and phonemes. However, previous evidence supports two seemingly contradictory models of how a predictive context is integrated with the bottom-up sensory input: Classic psycholinguistic paradigms suggest a two-stage process, in which acoustic input initially leads to local, context-independent representations, which are then quickly integrated with contextual constraints. This contrasts with the view that the brain constructs a single coherent, unified interpretation of the input, which fully integrates available information across representational hierarchies, and thus uses contextual constraints to modulate even the earliest sensory representations. To distinguish these hypotheses, we tested magnetoencephalography responses to continuous narrative speech for signatures of local and unified predictive models. Results provide evidence that listeners employ both types of models in parallel. Two local context models uniquely predict some part of early neural responses, one based on sublexical phoneme sequences, and one based on the phonemes in the current word alone; at the same time, even early responses to phonemes also reflect a unified model that incorporates sentence level constraints to predict upcoming phonemes. Neural source localization places the anatomical origins of the different predictive models in non-identical parts of the superior temporal lobes bilaterally, with the right hemisphere showing a relative preference for more local models. These results suggest that speech processing recruits both local and unified predictive models in parallel, reconciling previous disparate findings. Parallel models might make the perceptual system more robust, facilitate processing of unexpected inputs, and serve a function in language acquisition.

Data availability

The raw data and predictors used in this study are available for download from Dryad at https://doi.org/10.5061/dryad.nvx0k6dv0

The following data sets were generated

Article and author information

Author details

  1. Christian Brodbeck

    Department of Psychological Sciences, University of Connecticut, Storrs, United States
    For correspondence
    christianbrodbeck@me.com
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8380-639X
  2. Shohini Bhattasali

    Department of Linguistics, University of Maryland, College Park, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-6767-6529
  3. Aura AL Cruz Heredia

    Department of Psychology, University of Pennsylvania, Philadelphia, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Philip Resnik

    Department of Linguistics, University of Maryland, College Park, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. Jonathan Z Simon

    Institute for Systems Research, University of Maryland, College Park, United States
    Competing interests
    The authors declare that no competing interests exist.
  6. Ellen Lau

    Department of Linguistics, University of Maryland, College Park, United States
    Competing interests
    The authors declare that no competing interests exist.

Funding

University of Maryland (BBI Seed Grant)

  • Jonathan Z Simon
  • Ellen Lau

National Science Foundation (BCS-1749407)

  • Ellen Lau

National Institutes of Health (R01DC014085)

  • Jonathan Z Simon

National Science Foundation (SMA-1734892)

  • Jonathan Z Simon

Office of Naval Research (MURI Award N00014-18-1-2670)

  • Philip Resnik

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Human subjects: The study was approved by the IRB of the University of Maryland under the protocol titled "MEG Studies of Speech and Language Processing" (reference # 01153), on August 22, 2018 and September 9, 2019 (approval duration: 1 year). All participants provided written informed consent prior to the start of the experiment.

Copyright

© 2022, Brodbeck et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 3,707
    views
  • 647
    downloads
  • 56
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Christian Brodbeck
  2. Shohini Bhattasali
  3. Aura AL Cruz Heredia
  4. Philip Resnik
  5. Jonathan Z Simon
  6. Ellen Lau
(2022)
Parallel processing in speech perception with local and global representations of linguistic context
eLife 11:e72056.
https://doi.org/10.7554/eLife.72056

Share this article

https://doi.org/10.7554/eLife.72056

Further reading

    1. Neuroscience
    Tanja Fuchsberger, Imogen Stockwell ... Ole Paulsen
    Research Advance

    The reward and novelty-related neuromodulator dopamine plays an important role in hippocampal long-term memory, which is thought to involve protein-synthesis-dependent synaptic plasticity. However, the direct effects of dopamine on protein synthesis, and the functional implications of newly synthesised proteins for synaptic plasticity, have not yet been investigated. We have previously reported that timing-dependent synaptic depression (t-LTD) can be converted into potentiation by dopamine application during synaptic stimulation (Brzosko et al., 2015) or postsynaptic burst activation (Fuchsberger et al., 2022). Here, we show that dopamine increases protein synthesis in mouse hippocampal CA1 neurons, enabling dopamine-dependent long-term potentiation (DA-LTP), which is mediated via the Ca2+-sensitive adenylate cyclase (AC) subtypes 1/8, cAMP, and cAMP-dependent protein kinase (PKA). We found that neuronal activity is required for the dopamine-induced increase in protein synthesis. Furthermore, dopamine induced a protein-synthesis-dependent increase in the AMPA receptor subunit GluA1, but not GluA2. We found that DA-LTP is absent in GluA1 knock-out mice and that it requires calcium-permeable AMPA receptors. Taken together, our results suggest that dopamine together with neuronal activity controls synthesis of plasticity-related proteins, including GluA1, which enable DA-LTP via a signalling pathway distinct from that of conventional LTP.

    1. Developmental Biology
    2. Neuroscience
    Ev L Nichols, Joo Lee, Kang Shen
    Research Article

    During development axons undergo long-distance migrations as instructed by guidance molecules and their receptors, such as UNC-6/Netrin and UNC-40/DCC. Guidance cues act through long-range diffusive gradients (chemotaxis) or local adhesion (haptotaxis). However, how these discrete modes of action guide axons in vivo is poorly understood. Using time-lapse imaging of axon guidance in C. elegans, we demonstrate that UNC-6 and UNC-40 are required for local adhesion to an intermediate target and subsequent directional growth. Exogenous membrane-tethered UNC-6 is sufficient to mediate adhesion but not directional growth, demonstrating the separability of haptotaxis and chemotaxis. This conclusion is further supported by the endogenous UNC-6 distribution along the axon’s route. The intermediate and final targets are enriched in UNC-6 and separated by a ventrodorsal UNC-6 gradient. Continuous growth through the gradient requires UNC-40, which recruits UNC-6 to the growth cone tip. Overall, these data suggest that UNC-6 stimulates stepwise haptotaxis and chemotaxis in vivo.