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Ben Dongsung Huh
Ben Dongsung Huh
Unknown affiliation
Verified email at salk.edu
Title
Cited by
Cited by
Year
Gradient descent for spiking neural networks
D Huh, TJ Sejnowski
Advances in neural information processing systems 31, 2018
4602018
Memory traces in dynamical systems
S Ganguli, D Huh, H Sompolinsky
Proceedings of the national academy of sciences 105 (48), 18970-18975, 2008
3822008
Spectrum of power laws for curved hand movements
D Huh, TJ Sejnowski
Proceedings of the National Academy of Sciences 112 (29), E3950-E3958, 2015
742015
Real-time motor control using recurrent neural networks
D Huh, E Todorov
Adaptive Dynamic Programming and Reinforcement Learning, 2009. ADPRL'09 …, 2009
282009
25th annual computational neuroscience meeting: CNS-2016
TO Sharpee, A Destexhe, M Kawato, V Sekulić, FK Skinner, DK Wójcik, ...
BMC neuroscience 17, 1-112, 2016
242016
Conservation law for self-paced movements
D Huh, TJ Sejnowski
Proceedings of the National Academy of Sciences 113 (31), 8831-8836, 2016
112016
Infinite horizon optimal control framework for goal directed movements
D Huh, E Todorov, TJ Sejnowski
Proceedings of the 9th annual symposium on advances in computational motor …, 2010
102010
The vector space of convex curves: How to mix shapes
D Huh
arXiv preprint arXiv:1506.07515, 2015
72015
Kinematics and observer-animator kinematic similarity predict mental state attribution from Heider–Simmel style animations
BA Schuster, DS Fraser, JJF van den Bosch, S Sowden, AS Gordon, ...
Scientific reports 11 (1), 18266, 2021
52021
Rethinking optimal control of human movements
D Huh
University of California, San Diego, 2012
52012
Attributing Minds to Triangles: Kinematics and Observer-Animator Kinematic Similarity predict Mental State Attribution in the Animations Task
BA Schuster, DS Fraser, JJF van den Bosch, S Sowden, AS Gordon, ...
32021
Exact analytic solutions for optimal control problems under multiplicative noise
D Huh, T Sejnowski
IFAC Proceedings Volumes 44 (1), 5908-5914, 2011
32011
Autistic kinematics diverge from the power laws that typically govern movement
JL Cook, DS Fraser, LJ Hickman, R Brewer, D Huh
bioRxiv, 2023.03. 23.532745, 2023
22023
A Different Spectrum of Power Laws for Autistic Movements
J Cook, D Fraser, L Hickman, R Brewer, D Huh
INSAR 2023, 2023
2023
Generalized Phase Representation of Integrate-and-Fire Models
D Huh
arXiv preprint arXiv:1710.10428, 2017
2017
Two-Third power law for curved movements provides a strict constraint on optimal control models
DB Huh, TJ Sejnowski
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Articles 1–16