My research program employs a systems neuroscience approach to investigate the computations, maturational constraints, and plasticity underlying auditory and speech categorization. Speech signals are multidimensional, acoustically variable, and temporally
ephemeral. A significant computational challenge in speech perception, and more broadly in audition, is categorization—the task of mapping continuous, multidimensional, and variable acoustic signals into discrete behavioral equivalence classes. Despite the complexity of this computational challenge, native speech perception is rapid and automatic. In contrast, learning new non-native speech categories is effortful and is considered a challenging computational
task for the mature brain. In this presentation, I will elucidate the mechanisms underlying how novel speech categories are acquired and represented in the mature human brain. I will discuss
the neurobiology of two complementary auditory cortico-striatal streams involved in sound-to- rule and sound-to-reward mapping. I will discuss how these systems interact during learning
and contribute to individual differences in auditory and speech category learning success. Finally, I will discuss ongoing experiments that leverage the neurobiology of the dual cortico- striatal streams to design optimal behavioral training that reduces inter-individual differences in learning success.
The Functional MRI Laboratory provides opportunities for users and researchers to learn about advances in fields related to Functional MRI. No RSVP is required. To be added to the Speaker Series email group and receive notifications about the speaker series talks, please contact [email protected].
