Zobrazeno 1 - 10
of 1 235
pro vyhledávání: '"Lansdell, A."'
Autor:
Braun, S., Buat, Q., Ding, J., Kammel, P., Mazza, S. M., McKinney-Martinez, F., Molnar, A., Lansdell, C., Ott, J., Seiden, A., Schumm, B., Zhao, Y.
Low-Gain Avalanche Detectors (LGADs) are a type of thin silicon detector with a highly doped gain layer that provides moderate internal signal amplification. One recent challenge in the use of LGADs, studied by several research groups, is the gain su
Externí odkaz:
http://arxiv.org/abs/2405.02550
Autor:
George, Gavin, Strauss, Michael, Lansdell, Emma, Nota, Phiwe, Peters, Remco P.H., Brysiewicz, Petra, Nadesan-Reddy, Nisha, Wassenaar, Douglas
Publikováno v:
In Vaccine 30 August 2024 42(21)
Publikováno v:
Stem Cell Research & Therapy, Vol 14, Iss 1, Pp 1-15 (2023)
Abstract Background Mesenchymal stromal cell-derived extracellular vesicles (MSC-EVs) are a promising cell-free therapy for acute lung injury (ALI). To date, no studies have investigated their biodistribution in ALI or discerned the timing of adminis
Externí odkaz:
https://doaj.org/article/167e6d7cf2a64263b653474a28528649
Autor:
Tamming, Levi, Duque, Diana, Tran, Anh, Lansdell, Casey, Frahm, Grant, Wu, Jianguo, Fekete, Emily E.F., Creskey, Marybeth, Raman, Sathya, Laryea, Emmanuel, Zhang, Wanyue, Pfeifle, Annabelle, Gravel, Caroline, Stalker, Andrew, Hashem, Anwar M., Chen, Wangxue, Stuible, Matthew, Durocher, Yves, Safronetz, David, Cao, Jingxin, Wang, Lisheng, Sauve, Simon, Rosu-Myles, Michael, Zhang, Xu, Johnston, Michael J.W., Li, Xuguang
Publikováno v:
In Molecular Therapy - Methods & Clinical Development August 2024
The brain performs unsupervised learning and (perhaps) simultaneous supervised learning. This raises the question as to whether a hybrid of supervised and unsupervised methods will produce better learning. Inspired by the rich space of Hebbian learni
Externí odkaz:
http://arxiv.org/abs/2103.10252
Neuroscientists often describe neural activity as a representation of something, or claim to have found evidence for a neural representation. But what do these statements mean? The reasons to call some neural activity a representation and the assumpt
Externí odkaz:
http://arxiv.org/abs/2102.06592
Autor:
Lansdell, Benjamin
Interventions are central to causal learning and reasoning. Yet ultimately an intervention is an abstraction: an agent embedded in a physical environment (perhaps modeled as a Markov decision process) does not typically come equipped with the notion
Externí odkaz:
http://arxiv.org/abs/2005.12968
Backpropagation is driving today's artificial neural networks (ANNs). However, despite extensive research, it remains unclear if the brain implements this algorithm. Among neuroscientists, reinforcement learning (RL) algorithms are often seen as a re
Externí odkaz:
http://arxiv.org/abs/1906.00889
Excessively changing policies in many real world scenarios is difficult, unethical, or expensive. After all, doctor guidelines, tax codes, and price lists can only be reprinted so often. We may thus want to only change a policy when it is probable th
Externí odkaz:
http://arxiv.org/abs/1905.13121
In good old-fashioned artificial intelligence (GOFAI), humans specified systems that solved problems. Much of the recent progress in AI has come from replacing human insights by learning. However, learning itself is still usually built by humans -- s
Externí odkaz:
http://arxiv.org/abs/1811.00231