SNL 2020 has concluded. Presentations are available for viewing through January 2021.

Slide Sessions

Slide Session A

Bi-directional relations of semantic and syntactic neuro-cognitive development in children 6- to 7.5-years-old

Neelima Wagley1, James R. Booth1; 1Vanderbilt University

Predictive Neural Language Models Capture Language Processing in the Brain

Martin Schrimpf1, Idan Blank1,2, Greta Tuckute1, Carina Kauf1, Eghbal Hosseini1, Nancy Kanwisher1, Joshua Tenenbaum1, Evelina Fedorenko1; 1MIT, 2UCLA

Dissociating syntactic processing and semantic composition in the left temporal lobe: MEG evidence from Standard Arabic

Suhail Matar1, Julien Dirani1, Alec Marantz1,2, Liina Pylkkänen1,2; 1New York University, 2NYUAD Research Institute

Long-range sequential dependencies precede syntactically-rich vocalizations in humans

Tim Sainburg1, Anna Mai1, Timothy Q Gentner1; 1University of California, San Diego

Slide Session B

Neural mechanism underlying speech production during delayed auditory feedback

Muge Ozker Sertel1, Werner Doyle2, Orrin Devinsky1, Adeen Flinker1; 1Department of Neurology, New York University Langone Health, 2Department of Neurosurgery, New York University Langone Health

Speakers’ and listeners’ brains show different time lags when tracking the speech envelope

Alejandro Perez1, Robin A.A. Ince2, Matthew H. Davis1, Philip J. Monahan3,4,5; 1MRC Cognition and Brain Sciences Unit, University of Cambridge, UK, 2Institute of Neuroscience and Psychology, University of Glasgow, UK, 3Centre for French & Linguistics, University of Toronto Scarborough, Canada, 4Department of Linguistics, University of Toronto, Canada, 5Department of Psychology, University of Toronto Scarborough, Canada

Natural language encoding models for fMRI reveal distinct patterns of semantic integration across cortex

Shailee Jain1, Amanda LeBel1, Alexander G. Huth1; 1The University of Texas at Austin

Bottom-up neural entrainment and top-down cortical tracking cooperate around syllable P-centers to ensure speech intelligibility. A combined EEG-tACS study.

Antje Strauß1, Vincent Aubanel2, Anne-Lise Giraud3, Jean-Luc Schwartz2; 1University of Konstanz, 2Université Grenoble Alpes, 3University of Geneva

Slide Session C

Neural indicators of articulator-specific sensorimotor influences on infant speech perception

Sheri Dawoon choi1, Ghislaine Dehaene-Lambertz2,3, Marcela Peña4, Janet Werker1; 1University of British Columbia, 2INSERM, Cognitive Neuroimaging Unit, 3CEA, NeuroSpin, 4Pontificia Universidad Catolica de Chile

Visual speech cues aid speech motor areas encoding phonemes in noise

Yi Du1,2,3, Lei Zhang1,3; 1Institute of Psychology, Chinese Academy of Sciences, 2CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, 3Department of Psychology, University of Chinese Academy of Sciences

Neural encoding of phonological sequences in the human brain

Matthew Leonard1, Emily Stephen1, Lingyun Zhao1, Edward Chang1; 1University of California, San Francisco

Slide Session D

Functional organisation for verb generation in children with developmental language disorder

Saloni Krishnan1,2, Salomi Asaridou1, Gabriel J. Cler1, Harriet J. Smith1,3, Hannah E. Willis1, Máiréad Healy1, Dorothy V. M. Bishop1, Kate E. Watkins1; 1University of Oxford, 2Royal Holloway, University of London, 3MRC Cognition and Brain Sciences Unit, University of Cambridge

Form-invariant conceptual coding of words and sentences: Evidence from multivariate fMRI

Paul Hoffman1, Andres Tamm1, Rafael Lemarchand1, Aliff Mohd Sharif1; 1University of Edinburgh

Word frequency and prediction: spatiotemporal MEG signatures during sentence reading

Eleanor Huizeling1, Sophie Arana1,2, Peter Hagoort1,2, Jan Mathijs Schoffelen1,2; 1Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands, 2Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands

A Hierarchy of Linguistic Predictions During Natural Language Comprehension

Micha Heilbron1,2, Kristijan Armeni1, Jan-Mathijs Schoffelen1, Peter Hagoort1,2, Floris P. de Lange1; 1Donders Institute, 2Max Planck Institute for Psycholinguistics

Implicit Statistical Learning in Fast Periodic Visual Stimulation

Mara De Rosa1, Maria Ktori1, Yamil Vidal1, Roberto Bottini2, Davide Crepaldi1; 1International School for Advanced Studies (SISSA), Trieste, Italy, 2Center for Mind/Brain Sciences (CIMeC), University of Trento, Trento, Italy