Postdoc at @mcgovernmit studying language mechanisms with @ev_fedorenko & @RMarkRichardson Previously PhD student @CoganLab & Viventi lab at @DukeUBME
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ALT Graphic announcing two new Cogan Lab papers. The Nature Human Behaviour paper asks how the brain turns a speech plan into fluent movement, illustrated as planning → articulation → monitoring. The Nature Communications paper asks whether a speech BCI can learn from other people, illustrated by neural activity from two individuals converging on a shared latent representation.
ALT Screen capture of abstract of published article. Title: A language network in the individualized functional connectomes of 1199 human brains doing arbitrary tasks Abstract: A century and a half of neuroscience has yielded many divergent theories of the neurobiology of language. Two factors that likely contribute to this situation include (a) conceptual disagreement about language and its component processes, and (b) intrinsic inter-individual variability in the topography of language areas. Recent functional magnetic resonance imaging (fMRI) studies of small numbers of intensively scanned individuals have argued that a language-selective brain network emerges bottom-up from correlations (individualized functional connectomics, iFC) in task-free (e.g., rest) or task-regressed activation timecourses. Here we tested this hypothesis at scale and evaluated its practical utility for task-agnostic language localization: we apply iFC separately to each of 1,957 (fMRI) scanning sessions (1...
