Yuhan Helena Liu

Yuhan Helena Liu

University of Washington

H-index: 5

North America-United States

About Yuhan Helena Liu

Yuhan Helena Liu, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at University of Washington, specializes in the field of Computational Neuroscience, Artificial Intelligence, Applied Mathematics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs

How connectivity structure shapes rich and lazy learning in neural circuits

How gradient estimator variance and bias impact learning in neural networks

Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators

Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules

Cell-type–specific neuromodulation guides synaptic credit assignment in a spiking neural network

Excitation and Inhibition Balance Underlying Epileptiform Activity.

Yuhan Helena Liu Information

University

Position

PhD Student

Citations(all)

79

Citations(since 2020)

72

Cited By

24

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Yuhan Helena Liu Skills & Research Interests

Computational Neuroscience

Artificial Intelligence

Applied Mathematics

Top articles of Yuhan Helena Liu

Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs

arXiv preprint arXiv:2311.10869

2023/11/17

How connectivity structure shapes rich and lazy learning in neural circuits

ArXiv

2023/10/12

How gradient estimator variance and bias impact learning in neural networks

2022/9/29

Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators

Advances in Neural Information Processing Systems

2022/12/1

Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules

Advances in Neural Information Processing Systems

2022/12/6

Cell-type–specific neuromodulation guides synaptic credit assignment in a spiking neural network

Proceedings of the National Academy of Sciences

2021/12/21

Excitation and Inhibition Balance Underlying Epileptiform Activity.

IEEE transactions on bio-medical engineering

2020/1/1

See List of Professors in Yuhan Helena Liu University(University of Washington)

Co-Authors

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