Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Felix Wang"'
Autor:
Felix Wang, Shruti Kulkarni, Bradley Theilman, Fredrick Rothganger, Catherine Schuman, Seung-Hwan Lim, James B Aimone
Publikováno v:
Neuromorphic Computing and Engineering, Vol 4, Iss 2, p 024002 (2024)
As modern neuroscience tools acquire more details about the brain, the need to move towards biological-scale neural simulations continues to grow. However, effective simulations at scale remain a challenge. Beyond just the tooling required to enable
Externí odkaz:
https://doaj.org/article/0b50f362614b465db23f855f4e726461
Autor:
Olga Vriz, Ali Mushtaq, Abdullah Shaik, Ahmed El-Shaer, Khalid Feras, Abdalla Eltayeb, Hani Alsergnai, Naji Kholaif, Mosaad Al Hussein, Dimpna Albert-Brotons, Andre Rudiger Simon, Felix Wang Tsai
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2023)
Patients suffering from end-stage heart failure tend to have high mortality rates. With growing numbers of patients progressing into severe heart failure, the shortage of available donors is a growing concern, with less than 10% of patients undergoin
Externí odkaz:
https://doaj.org/article/5dbcb09b4dd84adcbe30d87f227db160
Publikováno v:
Journal of Eye Movement Research, Vol 14, Iss 1 (2021)
Eye tracking (ET) has shown to reveal the wearer’s cognitive processes using the measurement of the central point of foveal vision. However, traditional ET evaluation methods have not been able to take into account the wearers’ use of the periphe
Externí odkaz:
https://doaj.org/article/79f1a8e6511140c380e47182c319f355
Autor:
Frances S. Chance, James B. Aimone, Srideep S. Musuvathy, Michael R. Smith, Craig M. Vineyard, Felix Wang
Publikováno v:
Frontiers in Computational Neuroscience, Vol 14 (2020)
Historically, neuroscience principles have heavily influenced artificial intelligence (AI), for example the influence of the perceptron model, essentially a simple model of a biological neuron, on artificial neural networks. More recently, notable re
Externí odkaz:
https://doaj.org/article/1486f20ed15f4c7698c0f1541abbaeac
Autor:
Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M.R. Arnold, Ese Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik Learned-Miller, Seungwon Lee, Michael L. Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
Publikováno v:
Neural Networks. 160:274-296
Despite the advancement of machine learning techniques in recent years, state-of-the-art systems lack robustness to "real world" events, where the input distributions and tasks encountered by the deployed systems will not be limited to the original t
Autor:
Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston, Josh Bongard, Andrew P. Brna, Suraj Chakravarthi Raja, Nick Cheney, Jeff Clune, Anurag Daram, Stefano Fusi, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero-Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava Siegelmann
Publikováno v:
Nature Machine Intelligence. 4:196-210
ispartof: NATURE MACHINE INTELLIGENCE vol:4 issue:3 pages:196-210 status: published
Akademický článek
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Publikováno v:
Proceedings of the International Conference on Neuromorphic Systems 2022.
Autor:
William S.-C. Li, David C. Zhou, H. Yan, J.-F. Zhang, H.-H. Ma, C. Chen, J.-B. Huang, X.-M. Liu, W.-P. Li, Marco Wu, Larry Chen, Felix Wang, Roy K.-Y. Wong, Jeff Zhang, Mark Lee, Echo Cheng, Andy Han
Publikováno v:
2022 IEEE 34th International Symposium on Power Semiconductor Devices and ICs (ISPSD).