3 papers
cs.LG2026
Matching of signal, noise and hardware timescales for filtering and forecasting of correlated noise signals
Joshua Donald, Alex Gabbitas, Arthur G. T. Coveney +2
Physical reservoir computing exploits the nonlinear dynamics of physical systems to process time-dependent data with greater energy efficiency than conventional machine learning ap…
cond-mat.dis-nn2026
Scalable platform enabling reservoir computing with nanoporous oxide memristors for image recognition and time series prediction
Joshua Donald, Ben A. Johnson, Amir Mehrnejat +5
Typical mammal brains have some form of random connectivity between neurons. Reservoir computing, a neural network approach, uses random weights within its processing layer along w…
cond-mat.mes-hall2026
Stochastic Dynamics of Diffusive Memristor Blocks for Neuromorphic Computing
Wendy Otieno, Alex Gabbitas, Debi Pattnaik +3
Biological systems use neural circuits to integrate input information and produce outputs. Synaptic convergence, where multiple neurons converge their inputs onto a single downstre…