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Yuhan Helena Liu
Yuhan Helena Liu
Postdoctoral Researcher, Princeton University
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
Cell-type–specific neuromodulation guides synaptic credit assignment in a spiking neural network
YH Liu, S Smith, S Mihalas, E Shea-Brown, U Sümbül
Proceedings of the National Academy of Sciences 118 (51), e2111821118, 2021
39*2021
Information-theoretic privacy in smart metering systems using cascaded rechargeable batteries
YH Liu, SH Lee, A Khisti
IEEE Signal Processing Letters 24 (3), 314-318, 2017
192017
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators
YH Liu, S Smith, S Mihalas, E Shea-Brown, U Sümbül
Advances in Neural Information Processing Systems, 2022
162022
Excitation and Inhibition Balance Underlying Epileptiform Activity.
Y Liu, V Grigorovsky, BL Bardakjian
IEEE transactions on bio-medical engineering, 2020
162020
How connectivity structure shapes rich and lazy learning in neural circuits
YH Liu, A Baratin, J Cornford, S Mihalas, E Shea-Brown, G Lajoie
International Conference on Learning Representations, 2024
152024
Classification of Scalp EEG States Prior to Clinical Seizure Onset
D Jacobs, YH Liu, T Hilton, M Del Campo, PL Carlen, BL Bardakjian
IEEE journal of translational engineering in health and medicine 7, 1-3, 2019
112019
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules
YH Liu, A Ghosh, BA Richards, E Shea-Brown, G Lajoie
Advances in Neural Information Processing Systems, 2022
102022
How gradient estimator variance and bias impact learning in neural networks
A Ghosh, YH Liu, G Lajoie, K Kording, BA Richards
International Conference on Learning Representations, 2023
82023
On privacy in smart metering systems with periodically time-varying input distribution
Y Liu, A Khisti, A Mahajan
2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017
42017
Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs
J Hazelden, YH Liu, E Shlizerman, E Shea-Brown
arXiv preprint arXiv:2311.10869, 2023
32023
The Influence of Initial Connectivity on Biologically Plausible Learning
W Liu, X Zhang, YH Liu
arXiv preprint arXiv:2410.11164, 2025
2025
Spiking neural network models of sound localisation via a massively collaborative process
M Ghosh, KG Habashy, F De Santis, T Fiers, DF Ercelik, B Meszaros, ...
bioRxiv, 2024.07. 19.604252, 2024
2024
Deep Learning Frameworks for Modeling How Neural Circuits Learn
YH Liu
University of Washington, 2024
2024
Transition to chaos separates learning regimes and relates to measure of consciousness in recurrent neural networks
D Mastrovito, YH Liu, L Kusmierz, E Shea-Brown, C Koch, S Mihalas
bioRxiv, 2024.05. 15.594236, 2024
2024
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