Liu, Yuhan Helena

1. How connectivity structure shapes rich and lazy learning in neural circuits
   2023/10/12 by Yuhan Helena Liu, Aristide Baratin, Liu, Yuhan Helena +11 · 2 voices · 2 citations
   Computer Science · Neuroscience · Engineering · #Neural Networks and Applications #Neural dynamics and brain function #Advanced Memory and Neural Computing
2. Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators
   2022/06/02 by Yuhan Helena Liu, Liu, Yuhan Helena, Stephen M. Smith +7 · 1 citation
   Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Biological sciences #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Neuroscience and Neural Engineering
3. Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs
   2023/11/17 by James Hazelden, Hazelden, James, Yuhan Helena Liu +5 · 2 citations
   Neuroscience · Computer Science · #Neural dynamics and brain function #Neural Networks and Applications #Neural Networks and Reservoir Computing
4. Flexible inference for animal learning rules using neural networks
   2025/09/04 by Yuhan Helena Liu, Liu, Yuhan Helena, Victor Geadah +4 · 2 voices
   Computer Science · #Neural Networks and Applications