The Language Neuroscience Podcast

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]

In this episode, I talk with Alexander Huth, Assistant Professor of Neuroscience and Computer Science at the University of Texas, Austin, about his work using functional imaging and advanced computational methods to model how the brain processes language and represents meaning.Huth lab websiteHuth AG, Nishimoto S, Vu AT, Gallant JL. A continuous semantic space describes the representation of thousands of object and action categories across the human brain. Neuron 2012; 76: 1210-24. [doi]Huth AG, de Heer WA, Griffiths TL, Theunissen FE, Gallant JL. Natural speech reveals the semantic maps that tile human cerebral cortex. Nature 2016; 532: 453-8. [doi]Jain S, Huth AG. Incorporating context into language encoding models for fMRI. Proceedings of the 32nd International Conference on Neural Information Processing Systems 2018, pp. 6629-38. [doi]Tang J, LeBel A, Jain S, Huth AG. Semantic reconstruction of continuous language from non-invasive brain recordings. Nat Neurosci in press. [doi]

In this episode, I talk with Liina Pylkkänen, Professor of Linguistics and Psychology at NYU, about her research program, and in particular her recent paper ‘Disentangling semantic composition and semantic association in the left temporal lobe’.Pylkkänen lab websiteLi J, Pylkkänen L. Disentangling semantic composition and semantic association in the left temporal lobe. J Neurosci 2021; 41: 6526-38. [doi]

In this episode, I talk with Eddie Chang, Professor of Neurological Surgery at the University of California, San Francisco, about his recent paper ‘Speech computations of the human superior temporal gyrus’.Chang lab websiteBhaya-Grossman I, Chang EF. Speech computations of the human superior temporal gyrus. Annu Rev Psychol 2022; 73: 79-102. [doi | pdf]Chang EF, Rieger JW, Johnson K, Berger MS, Barbaro NM, Knight RT. Categorical speech representation in human superior temporal gyrus. Nat Neurosci 2010; 13: 1428-33. [doi]Sjerps MJ, Fox NP, Johnson K, Chang EF. Speaker-normalized sound representations in the human auditory cortex. Nat Commun 2019; 10: 2465. [doi]Leonard MK, Baud MO, Sjerps MJ, Chang EF. Perceptual restoration of masked speech in human cortex. Nat Commun 2016; 7: 13619. [doi]Hamilton LS, Edwards E, Chang EF. A spatial map of onset and sustained responses to speech in the human superior temporal gyrus. Curr Biol 2018; 28: 1860-71. [doi]Oganian Y, Chang EF. A speech envelope landmark for syllable encoding in human superior temporal gyrus. Sci Adv 2019; 5: eaay6279. [doi]