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Yuhan Helena Liu
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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
27*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
162017
Excitation and Inhibition Balance Underlying Epileptiform Activity.
Y Liu, V Grigorovsky, BL Bardakjian
IEEE transactions on bio-medical engineering, 2020
122020
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
92019
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
82022
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
52022
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
32023
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
32017
How connectivity structure shapes rich and lazy learning in neural circuits
YH Liu, A Baratin, J Cornford, S Mihalas, E Shea-Brown, G Lajoie
arXiv preprint arXiv:2310.08513, 2023
22023
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
12023
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