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Virginia M. S. Ruetten
Virginia M. S. Ruetten
Gatsby Computational Neuroscience Unit, UCL - Janelia Research Campus, HHMI - Cambridge University
Verified email at janelia.hhmi.org - Homepage
Title
Cited by
Cited by
Year
Bright and High-Performance Genetically Encoded Ca2+ Indicator Based on mNeonGreen Fluorescent Protein
L Zarowny, A Aggarwal, VMS Rutten, I Kolb, GENIE Project, R Patel, ...
ACS sensors 5 (7), 1959-1968, 2020
382020
Efficient communication over complex dynamical networks: The role of matrix non-normality
G Baggio, V Rutten, G Hennequin, S Zampieri
Science advances 6 (22), eaba2282, 2020
232020
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data
V Rutten, A Bernacchia, M Sahani, G Hennequin
Advances in neural information processing systems 33, 9622-9632, 2020
222020
Information transmission in dynamical networks: The normal network case
G Baggio, V Rutten, G Hennequin, S Zampieri
2018 IEEE Conference on Decision and Control (CDC), 2543-2548, 2018
22018
Efficient Communication over Complex Dynamical Networks
G Baggio, V Rutten, G Hennequin, S Zampieri
arXiv, arXiv: 1904.02447, 2019
12019
BBF RFC 106: a standard Type IIS syntax for plants
V Rutten, A Munabi, F Riche, G Lewy, H Wilson, M Pipan, S Bhate, ...
12015
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Articles 1–6