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cs.NE2026
Self-Organized Learning in Oscillatory Neural Networks with Memristive Signed Couplings
Riley Acker, Aman Desai, Garrett Kenyon +1
Oscillatory neural networks (ONNs) have emerged as a promising neuromorphic architecture, leveraging coupled dynamical systems to perform computation and represent information thro…
cs.LG2026
How to Train Your Resistive Network: Generalized Equilibrium Propagation and Analytical Learning
Jonathan Lin, Aman Desai, Frank Barrows +1
Machine learning is a powerful method of extracting meaning from data; unfortunately, current digital hardware is extremely energy-intensive. There is interest in an alternative an…