| Gradient descent for spiking neural networks D Huh, TJ Sejnowski Advances in neural information processing systems 31, 2018 | 453 | 2018 |
| Memory traces in dynamical systems S Ganguli, D Huh, H Sompolinsky Proceedings of the national academy of sciences 105 (48), 18970-18975, 2008 | 372 | 2008 |
| Spectrum of power laws for curved hand movements D Huh, TJ Sejnowski Proceedings of the National Academy of Sciences 112 (29), E3950-E3958, 2015 | 73 | 2015 |
| Real-time motor control using recurrent neural networks D Huh, E Todorov Adaptive Dynamic Programming and Reinforcement Learning, 2009. ADPRL'09 …, 2009 | 27 | 2009 |
| 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 | 21 | 2016 |
| Conservation law for self-paced movements D Huh, TJ Sejnowski Proceedings of the National Academy of Sciences 113 (31), 8831-8836, 2016 | 11 | 2016 |
| 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 | 10 | 2010 |
| The vector space of convex curves: How to mix shapes D Huh arXiv preprint arXiv:1506.07515, 2015 | 6 | 2015 |
| Rethinking optimal control of human movements D Huh University of California, San Diego, 2012 | 5 | 2012 |
| 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 | 4 | 2021 |
| 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, ... | 3 | 2021 |
| Exact analytic solutions for optimal control problems under multiplicative noise D Huh, T Sejnowski IFAC Proceedings Volumes 44 (1), 5908-5914, 2011 | 3 | 2011 |
| 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 | 2 | 2023 |
| 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 | | |
Terrence SejnowskiFrancis Crick Professor, Salk Institute, Distingished Professor, UC San DiegoDirección de correo verificada de salk.edu
