2 citations · 3 across the 2 of their papers we have counts for
2 papers
cond-mat.dis-nn2025★ 1 cited
Self-Organising Memristive Networks as Physical Learning Systems
Francesco Caravelli, Gianluca Milano, Adam Z. Stieg +3
Learning with physical systems is an emerging paradigm that seeks to harness the intrinsic nonlinear dynamics of physical substrates for learning. The impetus for a paradigm shift…
cs.NE2024★ 2 cited
Neuromorphic on-chip reservoir computing with spiking neural network architectures
Samip Karki, Diego Chavez Arana, Andrew Sornborger +1
Reservoir computing is a promising approach for harnessing the computational power of recurrent neural networks while dramatically simplifying training. This paper investigates the…