The Language Neuroscience Podcast

In this epidode, I talk with Deborah Levy, Lecturer at Princeton University, about her paper ‘Role for left dorsomedial prefrontal cortex in self-generated, but not externally cued, language production’, which just came out in Neurobiology of Language.Levy D, Greicius Q, Wang C, Ko E, Xu D, Andrews J, Chang EF. Role for left dorsomedial prefrontal cortex in self-generated, but not externally cued, language production. Neurobiol Lang 2025; 6:nol_a_00166. [doi]Levy website

In this episode, I talk with Steve Politzer-Ahles and Bernard Jap about their paper ‘Can the mismatch negativity really be elicited by abstract linguistic contrasts?’, which was recently published as a Registered Report in Neurobiology of Language.Politzer-Ahles S, Jap BAJ. Can the mismatch negativity really be elicited by abstract linguistic contrasts? Neurobiol Lang 2024; 5: 818–843. [doi]Politzer-Ahles websiteJap website

In the episode, I talk with Julius Fridriksson, Professor of Communication Sciences and Vice President for Research at the University of South Carolina, about what's going on with the NIH since the recent change of administration.

In this episode, I talk with Masud Husain, Professor of Neurology and Cognitive Neuroscience at the University of Oxford, about his recent editorial ‘A mountain of small things’.Husain websiteHusain M. A mountain of small things. Brain 2024; 147: 739. [doi]

In this episode, I talk with Maaike Vandermosten, Associate Professor in the Department of Neurosciences at KU Leuven, about the neural basis of developmental dyslexia, and neuroplasticity in recovery from aphasia.Vandermosten websiteVanderauwera J, Wouters J, Vandermosten M, Ghesquière P. Early dynamics of white matter deficits in children developing dyslexia. Dev Cogn Neurosci 2017; 27: 69-77. [doi]Beelen C, Vanderauwera J, Wouters J, Vandermosten M, Ghesquière P. Atypical gray matter in children with dyslexia before the onset of reading instruction. Cortex 2019; 121: 399–413. [doi]Phan TV, Sima D, Smeets D, Ghesquière P, Wouters J, Vandermosten M. Structural brain dynamics across reading development: A longitudinal MRI study from kindergarten to grade 5. Hum Brain Mapp 2021; 42: 4497-509. [doi]Clercq PD, Gonsalves AR, Gerrits R, Vandermosten M. Individualized functional localization of the language and multiple demand network in chronic post-stroke aphasia. bioRxiv 2024; 2024.01.12.575350. [doi]

Emeritus Professor of Developmental Neuropsychology at the University of Oxford, Dorothy Bishop, discusses developmental language disorders, specialized schools, and defining DLD through consensus. They explore using Doppler for language lateralization and fighting fraud in scientific research, emphasizing the importance of promoting diverse work in neuroscience.

Research Data Analyst Rob Cavanaugh discusses his dissertation on multilevel discourse outcomes in anomia treatment for aphasia. They explore different treatments and ongoing clinical trials for aphasia, highlighting challenges in analyzing discourse measures. The speakers discuss the disappointment of not seeing expected effects on discourse measures and discuss strategies to improve treatment outcomes.

Jean-Rémi King, research scientist and team leader at Meta AI, discusses deep learning algorithms, natural language processing, and the brain. They explore the similarities between brain responses and deep net activations, factors for algorithm similarity to the brain, and the need for nonlinear composition in language processing. They also delve into the size of predicted chunks, the functional similarity between deep neural networks and brain voxels, and the importance of choosing the right model architecture and parameters for predicting brain activity.

In this episode, I talk with Laura Gwilliams, soon-to-be Assistant Professor of Psychology, Neuroscience, and Data Science at Stanford University, about her recent paper ‘Neural dynamics of phoneme sequences reveal position-invariant code for content and order’.Gwilliams lab websiteGwilliams L, King JR, Marantz A, Poeppel D. Neural dynamics of phoneme sequences reveal position-invariant code for content and order. Nat Commun 2022; 13: 6606. [doi]

Alexander Huth, Assistant Professor at the University of Texas, Austin, specializes in fMRI and computational models studying language and meaning. He discusses using natural stimuli for semantic research and how he transitioned from AI to neuroscience. Huth shares insights on creating rich semantic models, mapping semantic responses in the brain, and decoding stories from brain activity. He highlights advancements in neural language models and ethical considerations in brain decoding, revealing how our thoughts can be reconstructed from brain data.