Laura Gwilliams

Publications

2023

*Gwilliams, L., *Leonard, M.K., Sellers, K.K., Chung, J., Xu, D., Mischler, G., Mesgarani, N., Welkenhuysen, M., Datta, B. & Chang, E.F. (2023). Large-scale single-neuron speech sound encoding across the depth of human cortex. Nature. [PDF]

Gwilliams, L., Flick, G., Marantz, A., Pylkkanen, L., Poeppel, D. & King, JR. (2023). Introducing MEG-MASC a high-quality magneto-encephalography dataset for evaluating natural speech processing. Scientific Data. [PDF]

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

Gwilliams, L., Marantz, A., Poeppel, D. & King, JR. (2023). Top-down information flow drives lexical access when listening to continuous speech. Language, Cognition and Neuroscience. [PDF]

2022

Gwilliams, L., King, JR., *Marantz, A. & *Poeppel, D. (2022). Neural dynamics of phoneme sequences reveal position-invariant code for content and order. Nature Communications. [PDF]

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. [PDF]

2021

Gwilliams, L. & Davis, M.H. Extracting language content from speech sounds: The information theoretic approach. In The Auditory Cognitive Neuroscience of Speech Perception. [PDF]

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). Prestimulus oscillations modulate information processing by suppressing neural excitability. NeuroImage [PDF]

*Gwilliams, L., *Blanco-Elorrieta, E., Marantz, A. & Pylkkanen, L. (2021). Adaptation to mis-pronounced speech: evidence for a prefrontal-cortex repair mechanism. Nature Scientific Reports [PDF]

2020

Gwilliams, L. & King, JR. (2020). Recurrent processes support a cascade of hierarchical decisions. eLife [PDF]

Gwilliams, L. (2020). Hierarchical oscillators in speech comprehension: A commentary on Meyer, Sun & Martin (2020) Language, Cognition and Neuroscience [PDF]

King, J-R., 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. Cognitive Neurosciences [PDF]

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 [PDF]

2019

Gwilliams, L. (2019). How the brain composes morphemes into meaning. Philosophical Transactions of the Royal Society B. [PDF]

Stockall, L, Manouildiou, C., Gwilliams, L., Neophytou, K., & Marantz, A. (2019). Prefix stripping re-re-re-visited: MEG evidence [PDF]

2018

Gwilliams, L., Linzen, T., Poeppel, D., & Marantz, A. (2018). In spoken word recognition the future predicts the past. Journal of Neuroscience [PDF]

Gwilliams, L. & Marantz, A. (2018). Morphological representations are extrapolated from morpho-syntactic rules. Neuropsychologia. [PDF]

Gwilliams, L., Poeppel., D., Marantz, A. & Linzen, T., (2018). Phonological (un)certainty weights lexical activation. Cognitive Modeling and Computational Linguistics (CMCL). [PDF]

2017

Gwilliams, L. & King, J.R. (2017). Performance-optimized hierarchical models only partially predict neural responses during perceptual decision making. NIPS workshop: Cognitively Informed Artificial Intelligence: Insights From Natural Intelligence. [PDF]

Gwilliams, L. & King, J.R. (2017). Perceptual decision making unfolds in a processing cascade within and across brain regions. Cognitive Computational Neuroscience (CCN). [PDF]

2016

Brodbeck, C., Gwilliams, L. & Pylkkanen, L. (2016). Language in context: MEG evidence for modality general and specific responses to reference resolution. eNeuro. [PDF]

Gwilliams, L., Lewis, G. & Marantz, A. (2016). Functional characterisation of letter-specific responses in time, space and current polarity using magnetoencephalography. NeuroImage. [PDF]

2015

Brodbeck, C., Gwilliams, L. & Pylkkanen, L. (2015). EEG can track the time course of successful reference resolution in small visual worlds. Frontiers in Psychology. [PDF]

Gwilliams, L. & Marantz, A. (2015). Non-linear processing of a linear speech stream: The influence of morphological structure on the recognition of spoken Arabic words. Brain and Language. [PDF]

Gwilliams, L. & Fontaine, L. (2015). Indeterminacy in process type classification. Functions of Language. [PDF]

Gwilliams, L., Monahan, P.J., & Samuel, A.G. (2015). Sensitivity to morphological composition in Spoken Word Recognition: Evidence from grammatical and lexical decision tasks. Journal of Experimental Psychology: Language, Memory and Cognition [PDF]

Politzer-Ahles, S., & Gwilliams, L. (2015). Involvement of prefrontal cortex in scalar implicatures: evidence from magnetoencephalography. Language, Cognition and Neuroscience. [PDF]