1 citations · 1 across the 3 of their papers we have counts for
4 papers
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…
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…
Minimal Quantum Reservoirs with Hamiltonian Encoding
Gerard McCaul, Juan Sebastian Totero Gongora, Wendy Otieno +3
We investigate a minimal architecture for quantum reservoir computing based on Hamiltonian encoding, in which input data is injected via modulation of system parameters rather than…
Topological Quenching of Noise in a Free-Running Moebius Microcomb
Debayan Das, Antonio Cutrona, Andrew C. Cooper +10
Microcombs require ultralow-noise repetition rates to enable next-generation applications in metrology, high-speed communications, microwave photonics, and sensing, where spectral…