Zobrazeno 1 - 10
of 374
pro vyhledávání: '"Mike Li"'
Publikováno v:
Brain Informatics, Vol 8, Iss 1, Pp 1-15 (2021)
Abstract Here, we combine network neuroscience and machine learning to reveal connections between the brain’s network structure and the emerging network structure of an artificial neural network. Specifically, we train a shallow, feedforward neural
Externí odkaz:
https://doaj.org/article/56535ee1d8f24f75addbbf7d10541b34
Autor:
Mike Li, Quang Dang Nguyen
Publikováno v:
IEEE Access, Vol 9, Pp 96641-96657 (2021)
Learning action policy for autonomous agents in a decentralized multi-agent environment has remained an interesting but difficult research problem. We propose to model this problem in a contextual bandit setting with delayed reward signals, in partic
Externí odkaz:
https://doaj.org/article/fcb5205821ea46c889fa20c5bc1b4e47
Autor:
Ahmad Khairi, Yoel Krupnik, Amir Laufer, Yoav Segal, Marco Cusmai, Itamar Levin, Ari Gordon, Yaniv Sabag, Vitali Rahinski, Idan Lotan, Gadi Ori, Noam Familia, Stas Litski, Tali Warshavsky Grafi, Udi Virobnik, Dror Lazar, Yeshayahu Horwitz, Ajay Balankutty, Shiva Kiran, Samuel Palermo, Peng Mike Li, Frank O'Mahony, Ariel Cohen
Publikováno v:
IEEE Journal of Solid-State Circuits. 58:8-18
Autor:
Alon Loeffler, Ruomin Zhu, Joel Hochstetter, Mike Li, Kaiwei Fu, Adrian Diaz-Alvarez, Tomonobu Nakayama, James M. Shine, Zdenka Kuncic
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Graph theory has been extensively applied to the topological mapping of complex networks, ranging from social networks to biological systems. Graph theory has increasingly been applied to neuroscience as a method to explore the fundamental structural
Externí odkaz:
https://doaj.org/article/70351e54802342728f6c392d3b40ae56
Autor:
Mike Li, Yinuo Han, Matthew J Aburn, Michael Breakspear, Russell A Poldrack, James M Shine, Joseph T Lizier
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 10, p e1006957 (2019)
A key component of the flexibility and complexity of the brain is its ability to dynamically adapt its functional network structure between integrated and segregated brain states depending on the demands of different cognitive tasks. Integrated state
Externí odkaz:
https://doaj.org/article/efa40fd329bc41e69adb1c3658a4ae46
Autor:
Yoav Segal, Amir Laufer, Ahmad Khairi, Yoel Krupnik, Marco Cusmai, Itamar Levin, Ari Gordon, Yaniv Sabag, Vitali Rahinski, Gadi Ori, Noam Familia, Stas Litski, Tali Warshavsky, Udi Virobnik, Yeshayahu Horwitz, Ajay Balankutty, Shiva Kiran, Samuel Palermo, Peng Mike Li, Ariel Cohen
Publikováno v:
2022 IEEE International Solid- State Circuits Conference (ISSCC).
Autor:
Jiehao Wang, Yunhui Tan, Baosheng Liang, Xinhui Min, Chaoshun Hu, Chao Zhao, Yuyu Wang, Mike Li, Yuguang Chen, Gerardo Jimenez, Shahzad Khan
Publikováno v:
Proceedings of the 10th Unconventional Resources Technology Conference.
Autor:
Elena Loukoianova, Yong Sarah Zhou, Sarwat Jahan, Natasha Che, Mike Li, Umang Rawat, Evan Papageorgiou, Ankita Goel
Publikováno v:
FinTech Notes. 2022:1
Autor:
Mike Li, Paul Glasserman
We study the behavior of linear discriminant functions for binary classification in the infinite-imbalance limit, where the sample size of one class grows without bound while the sample size of the other remains fixed. The coefficients of the classif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7c8d8c328eeca5451ce75d94c0ca2f4
http://arxiv.org/abs/2106.05797
http://arxiv.org/abs/2106.05797
Publikováno v:
Brain Informatics, Vol 8, Iss 1, Pp 1-15 (2021)
Brain Informatics
Brain Informatics
Network neuroscience has yielded crucial insights into the systems-level organisation of the brain, however the indirect nature of neuroimaging recordings has rendered the discovery of generative mechanisms for a given function inherently challenging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ae5fc78357f5e6b529f408e74da4bcb
https://doi.org/10.1101/2020.09.30.321679
https://doi.org/10.1101/2020.09.30.321679