107 citations · 498 across the 13 of their papers we have counts for
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cond-mat.dis-nn2021
Physical learning beyond the quasistatic limit
Menachem Stern, Sam Dillavou, Marc Z. Miskin +2
Physical networks, such as biological neural networks, can learn desired functions without a central processor, using local learning rules in space and time to learn in a fully dis…
cond-mat.dis-nn2021★ 85 cited
Demonstration of Decentralized, Physics-Driven Learning
Sam Dillavou, Menachem Stern, Andrea J. Liu +1
In typical artificial neural networks, neurons adjust according to global calculations of a central processor, but in the brain neurons and synapses self-adjust based on local info…