Zobrazeno 1 - 10
of 299
pro vyhledávání: '"Jean A. King"'
Autor:
Ryan J. Cali, Benjamin C. Nephew, Constance M. Moore, Serhiy Chumachenko, Ana Cecilia Sala, Beatriz Cintron, Carlos Luciano, Jean A. King, Stephen R. Hooper, Francis M. Giardiello, Marcia Cruz-Correa
Publikováno v:
IBRO Neuroscience Reports, Vol 11, Iss , Pp 137-143 (2021)
Familial Adenomatous Polyposis (FAP) is an autosomal dominant disorder caused by mutation of the APC gene presenting with numerous colorectal adenomatous polyps and a near 100% risk of colon cancer. Preliminary research findings from our group indica
Externí odkaz:
https://doaj.org/article/d67c71242f0c41808eed1f3099b158ee
Autor:
Benjamin C. Nephew, Marcelo Febo, Ryan Cali, Kathryn P. Workman, Laurellee Payne, Constance M. Moore, Jean A. King, Agnès Lacreuse
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-14 (2020)
Abstract Nonhuman primates (NHPs) are an essential research model for gaining a comprehensive understanding of the neural mechanisms of neurocognitive aging in our own species. In the present study, we used resting state functional connectivity (rsFC
Externí odkaz:
https://doaj.org/article/aa4a71dbbf2c4b7f9115486bfba354e8
Autor:
Pierre Bourdillon, Liankun Ren, Mila Halgren, Angelique C. Paulk, Pariya Salami, István Ulbert, Dániel Fabó, Jean-Rémi King, Kane M. Sjoberg, Emad N. Eskandar, Joseph R. Madsen, Eric Halgren, Sydney S. Cash
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Despite decades of research, we still do not understand how spontaneous human seizures start and spread – especially at the level of neuronal microcircuits. In this study, we used laminar arrays of micro-electrodes to simultaneously record
Externí odkaz:
https://doaj.org/article/7f02ca6c911e432aa6a82ab36bbab54d
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-9 (2023)
Abstract The “MEG-MASC” dataset provides a curated set of raw magnetoencephalography (MEG) recordings of 27 English speakers who listened to two hours of naturalistic stories. Each participant performed two identical sessions, involving listening
Externí odkaz:
https://doaj.org/article/8cfe30f3477c4945956717aa916b40ee
Autor:
Arianna Zuanazzi, Pablo Ripollés, Wy Ming Lin, Laura Gwilliams, Jean-Rémi King, David Poeppel
Publikováno v:
PLoS Biology, Vol 22, Iss 5, p e3002622 (2024)
Combinatoric linguistic operations underpin human language processes, but how meaning is composed and refined in the mind of the reader is not well understood. We address this puzzle by exploiting the ubiquitous function of negation. We track the onl
Externí odkaz:
https://doaj.org/article/2dfbdce025d2418582690a9e880ffb3a
Publikováno v:
Cell Reports, Vol 43, Iss 3, Pp 113847- (2024)
Summary: The ability to compose successive words into a meaningful phrase is a characteristic feature of human cognition, yet its neural mechanisms remain incompletely understood. Here, we analyze the cortical mechanisms of semantic composition using
Externí odkaz:
https://doaj.org/article/02a32cc50703413d8f68184db7caaba5
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Deep language algorithms, like GPT-2, have demonstrated remarkable abilities to process text, and now constitute the backbone of automatic translation, summarization and dialogue. However, whether these models encode information that relates
Externí odkaz:
https://doaj.org/article/e742c7eb6c924ec98c7285f45846d721
Publikováno v:
Journal of MultiDisciplinary Evaluation, Vol 18, Iss 42 (2022)
Abstract Background: Evaluation offers non-profit organizations an opportunity to improve their services, demonstrate achievements, and be accountable. The extant literature identifies individuals who can enhance the uptake of evaluation as evaluat
Externí odkaz:
https://doaj.org/article/5945a9a6d00a4b42afd3287af53ff1d5
Autor:
Charlotte Caucheteux, Jean-Rémi King
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/7641ad7771fa4845b742b5fee0006958
Publikováno v:
Nature Human Behaviour
Nature Human Behaviour, 2023, ⟨10.1038/s41562-022-01516-2⟩
Nature Human Behaviour, 2023, ⟨10.1038/s41562-022-01516-2⟩
Considerable progress has recently been made in natural language processing: deep learning algorithms are increasingly able to generate, summarize, translate and classify texts. Yet, these language models still fail to match the language abilities of