‘Neural dynamics of phoneme sequences reveal position-invariant code for content and order’ with Laura Gwilliams
Notes de l’épisode
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 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]