Zobrazeno 1 - 10
of 2 314
pro vyhledávání: '"A. Akarca"'
Understanding how biological constraints shape neural computation is a central goal of computational neuroscience. Spatially embedded recurrent neural networks provide a promising avenue to study how modelled constraints shape the combined structural
Externí odkaz:
http://arxiv.org/abs/2409.17693
Autor:
He, Zhonghao, Achterberg, Jascha, Collins, Katie, Nejad, Kevin, Akarca, Danyal, Yang, Yinzhu, Gurnee, Wes, Sucholutsky, Ilia, Tang, Yuhan, Ianov, Rebeca, Ogden, George, Li, Chole, Sandbrink, Kai, Casper, Stephen, Ivanova, Anna, Lindsay, Grace W.
As deep learning systems are scaled up to many billions of parameters, relating their internal structure to external behaviors becomes very challenging. Although daunting, this problem is not new: Neuroscientists and cognitive scientists have accumul
Externí odkaz:
http://arxiv.org/abs/2408.12664
Autor:
Achterberg, Jascha, Akarca, Danyal, Assem, Moataz, Heimbach, Moritz, Astle, Duncan E., Duncan, John
There is a concerted effort to build domain-general artificial intelligence in the form of universal neural network models with sufficient computational flexibility to solve a wide variety of cognitive tasks but without requiring fine-tuning on indiv
Externí odkaz:
http://arxiv.org/abs/2303.13651
Autor:
Robert E. Hynds, Ariana Huebner, David R. Pearce, Mark S. Hill, Ayse U. Akarca, David A. Moore, Sophia Ward, Kate H. C. Gowers, Takahiro Karasaki, Maise Al Bakir, Gareth A. Wilson, Oriol Pich, Carlos Martínez-Ruiz, A. S. Md Mukarram Hossain, Simon P. Pearce, Monica Sivakumar, Assma Ben Aissa, Eva Grönroos, Deepak Chandrasekharan, Krishna K. Kolluri, Rebecca Towns, Kaiwen Wang, Daniel E. Cook, Leticia Bosshard-Carter, Cristina Naceur-Lombardelli, Andrew J. Rowan, Selvaraju Veeriah, Kevin Litchfield, Philip A. J. Crosbie, Caroline Dive, Sergio A. Quezada, Sam M. Janes, Mariam Jamal-Hanjani, Teresa Marafioti, TRACERx consortium, Nicholas McGranahan, Charles Swanton
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-21 (2024)
Abstract Patient-derived xenograft (PDX) models are widely used in cancer research. To investigate the genomic fidelity of non-small cell lung cancer PDX models, we established 48 PDX models from 22 patients enrolled in the TRACERx study. Multi-regio
Externí odkaz:
https://doaj.org/article/15a9cb6171ca46d4a07fbfbe6bf74b76
Autor:
Yuanzhe Liu, Caio Seguin, Richard F. Betzel, Daniel Han, Danyal Akarca, Maria A. Di Biase, Andrew Zalesky
Publikováno v:
Harvard Data Science Review (2024)
Externí odkaz:
https://doaj.org/article/823de1a7140147659f4ec52b2dd28cc3
Autor:
Burt, Richard J. 1, 2, 3, Dey, Aditi 1, Akarca, Ayse 1, Allen, Hermione 1, Amerikanou, Rodothea 1, Atkinson, Samantha 2, Auty, David 4, Chatzigerou, Jenny 7, Cutler, Emily 1, Guerra-Assuncao, Jose Afonso 5, Kirschner, Kristina 6, Kumari, Ruchi 6, Manji, Jiten 1, Marafioti, Teresa 1, Ward, Juma 1, 7, Fielding, Adele K. 1, 7, ∗
Publikováno v:
In Blood Advances 12 November 2024 8(21):5696-5709
Publikováno v:
In Journal of Emergency Medicine August 2024 67(2):e198-e208
Publikováno v:
Pigment & Resin Technology, 2022, Vol. 53, Issue 1, pp. 69-77.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/PRT-04-2022-0053
Publikováno v:
Journal of Emergencies, Trauma and Shock, Vol 17, Iss 1, Pp 8-13 (2024)
Introduction: Focused Assessment with Sonography for Trauma (FAST) has attracted attention for its use in the detection of intra-abdominal pathology for pediatric patients. However, computed tomography (CT) remains the gold standard for the assessmen
Externí odkaz:
https://doaj.org/article/f6ab19a05f404a7bbc9adc59a531faa1
Autor:
Gökhan Akarca, Ayşe Janseli Denizkara
Publikováno v:
Mljekarstvo, Vol 74, Iss 2, Pp 116-130 (2024)
In this study, two bacterial strains used in the production of yoghurt were subjected to three distinct stress conditions (low pressure, infrared light, and low pressure + infrared light) and then used as starter cultures for yoghurt production. The
Externí odkaz:
https://doaj.org/article/933cf981805a49e0b5a0b7c33ee7d3ab