29 citations · 104 across the 23 of their papers we have counts for
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cs.NE2022
Biological connectomes as a representation for the architecture of artificial neural networks
Samuel Schmidgall, Catherine Schuman, Maryam Parsa
Grand efforts in neuroscience are working toward mapping the connectomes of many new species, including the near completion of the Drosophila melanogaster. It is important to ask w…
cs.NE2022
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks
Samuel Schmidgall, Joe Hays
We propose that in order to harness our understanding of neuroscience toward machine learning, we must first have powerful tools for training brain-like models of learning. Althoug…