Zobrazeno 1 - 10
of 225
pro vyhledávání: '"Zador, Anthony M"'
Autor:
Barabási, Dániel L, Bianconi, Ginestra, Bullmore, Ed, Burgess, Mark, Chung, SueYeon, Eliassi-Rad, Tina, George, Dileep, Kovács, István A., Makse, Hernán, Papadimitriou, Christos, Nichols, Thomas E., Sporns, Olaf, Stachenfeld, Kim, Toroczkai, Zoltán, Towlson, Emma K., Zador, Anthony M, Zeng, Hongkui, Barabási, Albert-László, Bernard, Amy, Buzsáki, György
The brain is a complex system comprising a myriad of interacting elements, posing significant challenges in understanding its structure, function, and dynamics. Network science has emerged as a powerful tool for studying such intricate systems, offer
Externí odkaz:
http://arxiv.org/abs/2305.06160
Artificial neural networks for motor control usually adopt generic architectures like fully connected MLPs. While general, these tabula rasa architectures rely on large amounts of experience to learn, are not easily transferable to new bodies, and ha
Externí odkaz:
http://arxiv.org/abs/2201.05242
Publikováno v:
In Current Biology 23 October 2023 33(20):4470-4483
Autor:
Zhang, Anqi1,2 (AUTHOR) anqi_zhang@fas.harvard.edu, Zador, Anthony M.1 (AUTHOR)
Publikováno v:
PLoS Biology. 12/4/2023, Vol. 21 Issue 12, p1-26. 26p.
Publikováno v:
Nature Communications; 9/27/2024, Vol. 15 Issue 1, p1-17, 17p
Autor:
Kressel, Adam M., Tsaava, Tea, Levine, Yaakov A., Chang, Eric H., Addorisio, Meghan E., Chang, Qing, Burbach, Barry J., Carnevale, Daniela, Lembo, Giuseppe, Zador, Anthony M., Andersson, Ulf, Pavlov, Valentin A., Chavan, Sangeeta S., Tracey, Kevin J.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2020 Nov . 117(47), 29803-29810.
Externí odkaz:
https://www.jstor.org/stable/26970834
Akademický článek
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Autor:
Dore, Kim, Pao, Yvonne, Lopez, Jose Soria, Aronson, Sage, Zhan, Huiqing, Ghosh, Sanchari, Merrill, Sabina, Zador, Anthony M., Malinow, Roberto, Kebschull, Justus M.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2020 Feb 01. 117(6), 3214-3219.
Externí odkaz:
https://www.jstor.org/stable/26928770
Autor:
Marblestone, Adam H, Daugharthy, Evan R, Kalhor, Reza, Peikon, Ian D, Kebschull, Justus M, Shipman, Seth L, Mishchenko, Yuriy, Lee, Je Hyuk, Kording, Konrad P, Boyden, Edward S, Zador, Anthony M, Church, George M
We propose a neural connectomics strategy called Fluorescent In-Situ Sequencing of Barcoded Individual Neuronal Connections (FISSEQ-BOINC), leveraging fluorescent in situ nucleic acid sequencing in fixed tissue (FISSEQ). FISSEQ-BOINC exhibits differe
Externí odkaz:
http://arxiv.org/abs/1404.5103
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2019 May 01. 116(19), 9610-9615.
Externí odkaz:
https://www.jstor.org/stable/26705151