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*Gwilliams, L., *Leonard, M.K., Sellers, K.K., Chung, J.E., Dutta, B., & Chang, E.F. (submitted). Single neuron encoding of speech across cortical layers of the human superior temporal gyrus.

Gwilliams, L., Marantz, A., Poeppel, D. & King, JR. (in prep). Parsing continuous speech into linguistic representations.

El Shafei, H., Gwilliams, L., Cousijn, H., Harrison, P., Nobre, A. & Haegens, S. (submitted). Distinct roles for alpha and beta oscillations in information maintenance in working memory.

Gwilliams, L., Flick, G., Marantz, A., Pylkkanen, L., Poeppel, D. & King, J.R. (submitted). MEG-MASC: a high-quality magento-encephalography dataset for evaluating natural speech processing.

Zuanazzi, A., Ripollés, P., Lin, WM., Gwilliams, L., *King, JR & *Poeppel, D (submitted). Tracking the online construction of linguistic meaning through negation. bioRxiv

Journal Publications

Gwilliams, L., Marantz, A., Poeppel, D. & King, J.R. (2023). Top-down information shapes lexical processing when listening to continuous speech. Language, Cognition and Neuroscience. DOI: 10.1080/23273798.2023.2171072

*Chung, J.E., *Sellers, K.K., Leonard, M.K., Gwilliams, L., Xu, D., Dougherty, M., Kharazia, V., Welkenhuysen. M., Dutta, B., Chang, E.F. (2022). High density single-unit human cortical recordings using the Neuropixels probe. Neuron. DOI: 10.1016/j.neuron.2022.05.007

Gwilliams, L., King, JR., *Marantz, A. & *Poeppel, D. (2022). Neural dynamics of phoneme sequences: Position-invariant code for content and order. Nature Communications. DOI: 10.1038/s41467-022-34326-1

Dikker, S., Mech, EM., Gwilliams, L., West, T., Dumas, G. & Federmeier, KD. (2022). Explor- ing age-related changes in inter-brain synchrony during verbal communication. Psychology of Learning and Motivation. DOI: 10.1016/bs.plm.2022.08.003

Iemi, L., Gwilliams, L., Samaha, J., Auksztulewicz, R., Cycowicz, Y., King, JR., Thesen, T., Doyle, W., Devinsky, O., Schroeder, C.E., Melloni, L. & Haegens, S. (2021). Ongoing neural oscillations influence behavior and sensory representations by suppressing neuronal excitability. NeuroImage. DOI: 10.1016/j.neuroimage.2021.118746

*Gwilliams, L., *Blanco-Elorrieta, E., Marantz, A. & Pylkkänen, L. (2021). Perceptual adapta- tion to accented speech: prefrontal cortex aids attunement in auditory cortices. Nature Scientific Reports. DOI: 10.1038/s41598-020-79640-0

Gwilliams, L. & King, JR. (2020). Recurrent processes support a cascade of hierarchical deci- sions. eLife. DOI: 10.7554/eLife.56603

Dikker, S., Assaneo, F., Gwilliams, L., Wang, L. & Kösem, A. (2020). MEG and Language: Using Magnetoencephalography to Study the Neural Basis of Language. Neuroimaging Clinics of North America. DOI: j.nic.2020.01.004

Gwilliams, L. (2020). Hierarchical oscillators in speech comprehension: A commentary on Meyer, Sun & Martin. Language, Cognition and Neuroscience. DOI: 10.1080/23273798.2020. 1740749

Gwilliams, L. (2019). How the brain composes morphemes into meaning. Philosophical Trans- actions of the Royal Society B. DOI: 10.1098/rstb.2019.0311

Stockall, L., Manouildiou, C., Gwilliams, L., Neophytou, K., & Marantz, A. (2019). Prefix Stripping Re-Re-Re-visited: MEG Evidence. Frontiers in Psychology. DOI: 10.3389/fp- syg.2019.01964

Gwilliams, L., Linzen, T., Poeppel, D., & Marantz, A. (2018). In spoken word recognition the future predicts the past. Journal of Neuroscience. DOI: 10.1523/JNEUROSCI.0065-18.2018

Gwilliams, L., Poeppel, D., Marantz, A., & Linzen, T. (2018). Phonological (un)certainty weights lexical activation. In Proceedings of the 8th Workshop on Cognitive Modeling and Com- putational Linguistics (CMCL 2018) (pp. 29-34). arXiv

Gwilliams, L. & Marantz, A. (2018). Morphological representations are extrapolated from morpho-syntactic rules. Neuropsychologia. DOI: 10.1016/j.neuropsychologia.2018.04.015

Brodbeck, C., Gwilliams, L. & Pylkkänen, L. (2016). Language in context: MEG evi- dence for modality general and specific responses to reference resolution. eNeuro. DOI: 10.1523/ENEURO.0145-16.2016

Gwilliams, L., Lewis, G. & Marantz, A. (2016). Functional characterisation of letter-specific responses in time, space and current polarity using magneto-encephalography. NeuroImage. DOI: 10.1016/j.neuroimage.2016.02.057

Brodbeck,C.,Gwilliams,L.&Pylkkänen,L.(2015).EEGcantrackthetimecourseofreference resolution in small visual worlds. Frontiers in Psychology. DOI: 10.3389/fpsyg.2015.01787

Gwilliams, L. & Marantz, A. (2015). Tracking non-linear prediction in a linear speech stream: Influence of morphological structure on spoken word recognition. Brain and Language. DOI: 10.1016/j.bandl.2015.04.006

Gwilliams, L., Monahan, P., & Samuel, A. (2015). Sensitivity to morphological composition: Evidence from grammatical and lexical decision tasks. Journal of Experimental Psychology: Language, Memory and Cognition. DOI: 10.1037/xlm0000130

Gwilliams, L. & Fontaine, L. (2015). Indeterminacy in process type classification. Functions of Language. DOI: 10.1186/s40554-015-0021-x

Politzer-Ahles, S. & Gwilliams, L. (2015). Involvement of prefrontal cortex in scalar implica- tures: Evidence from magnetoencephalography. Language and Cognitive Neuroscience. DOI: 10.1080/23273798.2015.1027235

Book Chapters

Stockall, L. & Gwilliams, L. (2023). Distributed morphology and neurolinguistics. In The Cambridge Handbook of Distributed Morphology.

Gwilliams, L. & Marantz, A. (2022). Neural processing of morphological structure in speech production, listening and reading. In Current Issues in the Psychology of Language.

Gwilliams, L. & Davis, M.H. (2021). Extracting language content from speech sounds: The information theoretic approach. In The Auditory Cognitive Neuroscience of Speech Perception. Link

King, JR., Gwilliams, L., Holdgraf, C., Sassenhagen, J., Barachant, A., Engemann, D., Larson, E. & Gramfort, A. (2020). Encoding and Decoding Framework to Uncover the Algorithms of Cognition. In The Cognitive Neurosciences.