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pro vyhledávání: '"Flinker A"'
Nonlocal self-similarity within images has become an increasingly popular prior in deep-learning models. Despite their successful image restoration performance, such models remain largely uninterpretable due to their black-box construction. Our previ
Externí odkaz:
http://arxiv.org/abs/2407.18967
In the last decade, the Resource Description Framework (RDF) has become the de-facto standard for publishing semantic data on the Web. This steady adoption has led to a significant increase in the number and volume of available RDF datasets, exceedin
Autor:
Mosche Ze'ev Flinker
'Es ist, als wäre man in einem großen Saal, in dem viele Menschen fröhlich sind und tanzen, während eine kleine Menschen still in der Ecke sitzt. Ab und an holen sie aus diesem Grüppchen Leute, schleppen sie in ein Nebenzimmer und drücken ihnen
Autor:
Goldstein, Ariel, Ham, Eric, Schain, Mariano, Nastase, Samuel, Zada, Zaid, Dabush, Avigail, Aubrey, Bobbi, Gazula, Harshvardhan, Feder, Amir, Doyle, Werner K, Devore, Sasha, Dugan, Patricia, Friedman, Daniel, Reichart, Roi, Brenner, Michael, Hassidim, Avinatan, Devinsky, Orrin, Flinker, Adeen, Levy, Omer, Hasson, Uri
Deep Language Models (DLMs) provide a novel computational paradigm for understanding the mechanisms of natural language processing in the human brain. Unlike traditional psycholinguistic models, DLMs use layered sequences of continuous numerical vect
Externí odkaz:
http://arxiv.org/abs/2310.07106
Nonlocal self-similarity within natural images has become an increasingly popular prior in deep-learning models. Despite their successful image restoration performance, such models remain largely uninterpretable due to their black-box construction. O
Externí odkaz:
http://arxiv.org/abs/2306.01950
Autor:
Muge Ozker, Leyao Yu, Patricia Dugan, Werner Doyle, Daniel Friedman, Orrin Devinsky, Adeen Flinker
Publikováno v:
eLife, Vol 13 (2024)
Across the animal kingdom, neural responses in the auditory cortex are suppressed during vocalization, and humans are no exception. A common hypothesis is that suppression increases sensitivity to auditory feedback, enabling the detection of vocaliza
Externí odkaz:
https://doaj.org/article/b04f64a5c30542fca4aa7400603b7c98
Autor:
Thierry Alcoloumbre
Publikováno v:
Pardès. :217-219
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbbab5638e2fa484e73d0f9792bf7992
https://doi.org/10.3917/parde.066.0217
https://doi.org/10.3917/parde.066.0217
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:
Swan, Jesse G.
Publikováno v:
The Sixteenth Century Journal, 2002 Dec 01. 33(4), 1098-1100.
Externí odkaz:
https://www.jstor.org/stable/4144138