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of 279
pro vyhledávání: '"Zador, Anthony"'
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
Autor:
Zador, Anthony, Escola, Sean, Richards, Blake, Ölveczky, Bence, Bengio, Yoshua, Boahen, Kwabena, Botvinick, Matthew, Chklovskii, Dmitri, Churchland, Anne, Clopath, Claudia, DiCarlo, James, Ganguli, Surya, Hawkins, Jeff, Koerding, Konrad, Koulakov, Alexei, LeCun, Yann, Lillicrap, Timothy, Marblestone, Adam, Olshausen, Bruno, Pouget, Alexandre, Savin, Cristina, Sejnowski, Terrence, Simoncelli, Eero, Solla, Sara, Sussillo, David, Tolias, Andreas S., Tsao, Doris
Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We propose that to accelerate progress in AI, we must invest in fundamental research in NeuroAI. A core component of this is the embodied Turing test, which c
Externí odkaz:
http://arxiv.org/abs/2210.08340
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
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America; 9/17/2024, Vol. 121 Issue 38, p1-12, 19p
The ability to measure or manipulate network connectivity is the main challenge in the field of connectomics. Recently, a set of approaches has been developed that takes advantage of next generation DNA sequencing to scan connections between neurons
Externí odkaz:
http://arxiv.org/abs/1611.00834
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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