Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Konstantin K Likharev

Showing results (1-10 of 9) with videos related to

Pageof 1
Sort By:
IEEE Transactions on Neural Networks|March 28, 2007
Global reinforcement learning in neural networksXiaolong Ma, Konstantin K Likharev
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Self-organization in autonomous, recurrent, firing-rate CrossNets with quasi-Hebbian plasticityThomas John Walls, Konstantin K Likharev
Journal of Nanoscience and Nanotechnology|April 26, 2007
Defect-tolerant architectures for nanoelectronic crossbar memoriesDmitri B Strukov, Konstantin K Likharev
Frontiers in Neuroscience|April 13, 2018
Capacity, Fidelity, and Noise Tolerance of Associative Spatial-Temporal Memories Based on Memristive Neuromorphic NetworksDmitri Gavrilov, Dmitri Strukov, Konstantin K Likharev
Journal of Physics. Condensed Matter : an Institute of Physics Journal|June 24, 2011
A numerical study of Coulomb interaction effects on 2D hopping transportYusuf A Kinkhabwala, Viktor A Sverdlov, Konstantin K Likharev
Physical Review Letters|November 22, 2002
Quantum fluctuations in Josephson junction comparatorsThomas J Walls, Timur V Filippov, Konstantin K Likharev
Journal of Physics. Condensed Matter : an Institute of Physics Journal|June 24, 2011
A numerical study of transport and shot noise in 2D hoppingYusuf A Kinkhabwala, Viktor A Sverdlov, Alexander N Korotkov, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 11, 2018
High-Performance Mixed-Signal Neurocomputing With Nanoscale Floating-Gate Memory Cell ArraysFarnood Merrikh-Bayat, Xinjie Guo, Michael Klachko, et al.
Nanotechnology|July 18, 2020
Roadmap on emerging hardware and technology for machine learningKarl Berggren, Qiangfei Xia, Konstantin K Likharev, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Networks|March 28, 2007
Global reinforcement learning in neural networksXiaolong Ma, Konstantin K Likharev
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Self-organization in autonomous, recurrent, firing-rate CrossNets with quasi-Hebbian plasticityThomas John Walls, Konstantin K Likharev
Journal of Nanoscience and Nanotechnology|April 26, 2007
Defect-tolerant architectures for nanoelectronic crossbar memoriesDmitri B Strukov, Konstantin K Likharev
Frontiers in Neuroscience|April 13, 2018
Capacity, Fidelity, and Noise Tolerance of Associative Spatial-Temporal Memories Based on Memristive Neuromorphic NetworksDmitri Gavrilov, Dmitri Strukov, Konstantin K Likharev
Journal of Physics. Condensed Matter : an Institute of Physics Journal|June 24, 2011
A numerical study of Coulomb interaction effects on 2D hopping transportYusuf A Kinkhabwala, Viktor A Sverdlov, Konstantin K Likharev
Physical Review Letters|November 22, 2002
Quantum fluctuations in Josephson junction comparatorsThomas J Walls, Timur V Filippov, Konstantin K Likharev
Journal of Physics. Condensed Matter : an Institute of Physics Journal|June 24, 2011
A numerical study of transport and shot noise in 2D hoppingYusuf A Kinkhabwala, Viktor A Sverdlov, Alexander N Korotkov, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 11, 2018
High-Performance Mixed-Signal Neurocomputing With Nanoscale Floating-Gate Memory Cell ArraysFarnood Merrikh-Bayat, Xinjie Guo, Michael Klachko, et al.
Nanotechnology|July 18, 2020
Roadmap on emerging hardware and technology for machine learningKarl Berggren, Qiangfei Xia, Konstantin K Likharev, et al.
Pageof 1