7 citations · 16 across the 4 of their papers we have counts for
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cs.NE2023★ 4 cited
How connectivity structure shapes rich and lazy learning in neural circuits
Yuhan Helena Liu, Aristide Baratin, Jonathan Cornford +3
In theoretical neuroscience, recent work leverages deep learning tools to explore how some network attributes critically influence its learning dynamics. Notably, initial weight di…
cs.NE2022★ 7 cited
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules
Yuhan Helena Liu, Arna Ghosh, Blake A. Richards +2
To unveil how the brain learns, ongoing work seeks biologically-plausible approximations of gradient descent algorithms for training recurrent neural networks (RNNs). Yet, beyond t…