Zobrazeno 1 - 10
of 271
pro vyhledávání: '"Lindsay Grace"'
Learning-based approaches to quadruped locomotion commonly adopt generic policy architectures like fully connected MLPs. As such architectures contain few inductive biases, it is common in practice to incorporate priors in the form of rewards, traini
Externí odkaz:
http://arxiv.org/abs/2410.07174
Autor:
Jindgar, Kartik, Lindsay, Grace W.
In recent years, analysis of remote sensing data has benefited immensely from borrowing techniques from the broader field of computer vision, such as the use of shared models pre-trained on large and diverse datasets. However, satellite imagery has u
Externí odkaz:
http://arxiv.org/abs/2409.17363
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:
Kim Chiok, Swechha M. Pokharel, Indira Mohanty, Lindsay Grace Miller, Shou-Jiang Gao, Arthur L. Haas, Kim C. Tran, Michael N. Teng, Santanu Bose
Publikováno v:
mBio, Vol 13, Iss 1 (2022)
ABSTRACT Paramyxoviruses such as respiratory syncytial virus (RSV) are the leading cause of pneumonia in infants, the elderly, and immunocompromised individuals. Understanding host-virus interactions is essential for the development of effective inte
Externí odkaz:
https://doaj.org/article/704d278d042044dc80a349c065feb783
Publikováno v:
Viruses, Vol 15, Iss 3, p 754 (2023)
Critically ill COVID-19 patients display signs of generalized hyperinflammation. Macrophages trigger inflammation to eliminate pathogens and repair tissue, but this process can also lead to hyperinflammation and resulting exaggerated disease. The rol
Externí odkaz:
https://doaj.org/article/3990150756554eab9745a90495448bf8
Autor:
Lindsay, Grace W.
Connecting neural activity to function is a common aim in neuroscience. How to define and conceptualize function, however, can vary. Here I focus on grounding this goal in the specific question of how a given change in behavior is produced by a chang
Externí odkaz:
http://arxiv.org/abs/2311.07526
Autor:
Butlin, Patrick, Long, Robert, Elmoznino, Eric, Bengio, Yoshua, Birch, Jonathan, Constant, Axel, Deane, George, Fleming, Stephen M., Frith, Chris, Ji, Xu, Kanai, Ryota, Klein, Colin, Lindsay, Grace, Michel, Matthias, Mudrik, Liad, Peters, Megan A. K., Schwitzgebel, Eric, Simon, Jonathan, VanRullen, Rufin
Whether current or near-term AI systems could be conscious is a topic of scientific interest and increasing public concern. This report argues for, and exemplifies, a rigorous and empirically grounded approach to AI consciousness: assessing existing
Externí odkaz:
http://arxiv.org/abs/2308.08708
Autor:
Doerig, Adrien, Sommers, Rowan, Seeliger, Katja, Richards, Blake, Ismael, Jenann, Lindsay, Grace, Kording, Konrad, Konkle, Talia, Van Gerven, Marcel A. J., Kriegeskorte, Nikolaus, Kietzmann, Tim C.
Artificial Neural Networks (ANNs) inspired by biology are beginning to be widely used to model behavioral and neural data, an approach we call neuroconnectionism. ANNs have been lauded as the current best models of information processing in the brain
Externí odkaz:
http://arxiv.org/abs/2209.03718
Autor:
Lindsay, Grace W.
Neuroscientists apply a range of common analysis tools to recorded neural activity in order to glean insights into how neural circuits implement computations. Despite the fact that these tools shape the progress of the field as a whole, we have littl
Externí odkaz:
http://arxiv.org/abs/2202.07035