Flinker, Adeen

Reconstructing Speech from Human Auditory Cortex

Pasley, B. N., David, S. V., Mesgarani, N., Flinker, A., Shamma, S. A., Crone, N. E., Knight, R. T., & Chang, E. F. (2012) · PLoS Biology

Neuroscience and Music PerceptionPhonetics and Phonology Research

Cited by 604

Redefining the role of Broca’s area in speech

Flinker, A., Korzeniewska, A., Shestyuk, A. Y., Franaszczuk, P. J., Dronkers, N. F., Knight, R. T., & Crone, N. E. (2015) · Proceedings of the National Academy of Sciences

Neurobiology of Language and BilingualismPhonetics and Phonology Research

Cited by 487

Shared computational principles for language processing in humans and deep language models

Goldstein, A., Zada, Z., Buchnik, E., Schain, M., Price, A., Aubrey, B., Nastase, S. A., Feder, A., Emanuel, D., Cohen, A., et al. (2022) · Nature Neuroscience

Neurobiology of Language and BilingualismReading and Literacy Development

Cited by 447

Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns

Goldstein, A., Grinstein-Dabush, A., Schain, M., Wang, H., Hong, Z., Aubrey, B., Nastase, S. A., Zada, Z., Ham, E., Feder, A., et al. (2024) · Nature Communications

Neurobiology of Language and BilingualismTopic Modeling

Cited by 64

A cortical network processes auditory error signals during human speech production to maintain fluency

Ozker, M., Doyle, W., Devinsky, O., & Flinker, A. (2022) · PLOS Biology

Neurobiology of Language and BilingualismStuttering Research and Treatment

Cited by 59

Scale matters: Large language models with billions (rather than millions) of parameters better match neural representations of natural language

Hong, Z., Wang, H., Zada, Z., Gazula, H., Turner, D., Aubrey, B., Niekerken, L., Doyle, W., Devore, S., Dugan, P., et al. (2024) · eLife

Neurobiology of Language and BilingualismTopic Modeling

Cited by 1