Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zaid Zada"'
Autor:
Ariel Goldstein, Avigail Grinstein-Dabush, Mariano Schain, Haocheng Wang, Zhuoqiao Hong, Bobbi Aubrey, Samuel A. Nastase, Zaid Zada, Eric Ham, Amir Feder, Harshvardhan Gazula, Eliav Buchnik, Werner Doyle, Sasha Devore, Patricia Dugan, Roi Reichart, Daniel Friedman, Michael Brenner, Avinatan Hassidim, Orrin Devinsky, Adeen Flinker, Uri Hasson
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Contextual embeddings, derived from deep language models (DLMs), provide a continuous vectorial representation of language. This embedding space differs fundamentally from the symbolic representations posited by traditional psycholinguistics
Externí odkaz:
https://doaj.org/article/b5d187486aaf4abfb9f4c8c3e4bdc2c8
Autor:
Ariel Goldstein, Avigail Grinstein-Dabush, Mariano Schain, Haocheng Wang, Zhuoqiao Hong, Bobbi Aubrey, Samuel A. Nastase, Zaid Zada, Eric Ham, Amir Feder, Harshvardhan Gazula, Eliav Buchnik, Werner Doyle, Sasha Devore, Patricia Dugan, Roi Reichart, Daniel Friedman, Michael Brenner, Avinatan Hassidim, Orrin Devinsky, Adeen Flinker, Uri Hasson
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/69055997d99a4a65bc9dcf640c150514
Autor:
Ariel Goldstein, Avigail Dabush, Bobbi Aubrey, Mariano Schain, Samuel A. Nastase, Zaid Zada, Eric Ham, Zhuoqiao Hong, Amir Feder, Harshvardhan Gazula, Eliav Buchnik, Werner Doyle, Sasha Devore, Patricia Dugan, Daniel Friedman, Michael Brenner, Avinatan Hassidim, Orrin Devinsky, Adeen Flinker, Uri Hasson
Contextual embeddings, derived from deep language models (DLMs), provide a continuous vectorial representation of language. This embedding space differs fundamentally from the symbolic representations posited by traditional psycholinguistics. Do lang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fb35a499743f6ed8f4b93615f627765
https://doi.org/10.1101/2022.03.01.482586
https://doi.org/10.1101/2022.03.01.482586
Publikováno v:
2022 Conference on Cognitive Computational Neuroscience.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdd9b26a2d38a7e120d0d1649f568614
https://doi.org/10.32470/ccn.2022.1242-0
https://doi.org/10.32470/ccn.2022.1242-0
Autor:
Ariel Goldstein, Zaid Zada, Eliav Buchnik, Mariano Schain, Amy Price, Bobbi Aubrey, Samuel A. Nastase, Amir Feder, Dotan Emanuel, Alon Cohen, Aren Jansen, Harshvardhan Gazula, Gina Choe, Aditi Rao, Catherine Kim, Colton Casto, Lora Fanda, Werner Doyle, Daniel Friedman, Patricia Dugan, Lucia Melloni, Roi Reichart, Sasha Devore, Adeen Flinker, Liat Hasenfratz, Omer Levy, Avinatan Hassidim, Michael Brenner, Yossi Matias, Kenneth A. Norman, Orrin Devinsky, Uri Hasson
Publikováno v:
Nature Neuroscience
Departing from traditional linguistic models, advances in deep learning have resulted in a new type of predictive (autoregressive) deep language models (DLMs). Using a self-supervised next-word prediction task, these models generate appropriate lingu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba75180daeaae587ab5f383cd2ba7416
https://pubmed.ncbi.nlm.nih.gov/35260860
https://pubmed.ncbi.nlm.nih.gov/35260860
Autor:
Orrin Devinsky, Lora Fanda, Malcom Slaney, Zaid Zada, Gina Ghoe, Amy R. Price, Aditi Rao, Adeen Flinker, Aren Jansen, Kenneth A. Norman, Michael Brenner, Ariel Goldstein, Bobbi Aubrey, Uri Hasson
Publikováno v:
2019 Conference on Cognitive Computational Neuroscience.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::744b1125badb2972b0729e992c163698
https://doi.org/10.32470/ccn.2019.1301-0
https://doi.org/10.32470/ccn.2019.1301-0