79 citations · 96 across the 6 of their papers we have counts for
7 papers
Mathematical Model of Strong Physically Unclonable Functions Based on Hybrid Boolean Networks
Noeloikeau Charlot, Daniel J. Gauthier, Daniel Canaday +1
We introduce a mathematical framework for simulating Hybrid Boolean Network (HBN) Physically Unclonable Functions (PUFs, HBN-PUFs). We verify that the model is able to reproduce th…
A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data
Daniel Canaday, Andrew Pomerance, Michelle Girvan
Recent research has established the effectiveness of machine learning for data-driven prediction of the future evolution of unknown dynamical systems, including chaotic systems. Ho…
Model-Free Control of Dynamical Systems with Deep Reservoir Computing
Daniel Canaday, Andrew Pomerance, Daniel J Gauthier
We propose and demonstrate a nonlinear control method that can be applied to unknown, complex systems where the controller is based on a type of artificial neural network known as…
Hybrid Boolean Networks as Physically Unclonable Functions
Noeloikeau Charlot, Daniel Canaday, Andrew Pomerance +1
We introduce a Physically Unclonable Function (PUF) based on an ultra-fast chaotic network known as a Hybrid Boolean Network (HBN) implemented on a field programmable gate array. T…
Rapid Time Series Prediction with a Hardware-Based Reservoir Computer
Daniel Canaday, Aaron Griffith, Daniel Gauthier
Reservoir computing is a neural network approach for processing time-dependent signals that has seen rapid development in recent years. Physical implementations of the technique us…
Photoionization Delay in He, Ne, Ar and Kr
Caryn Palatchi, Marcus Dahlstrom, Anatoli Kheifets +4
We study the relative photoionization delay of Ne, Ar and Kr as a function of energy using He as a reference to characterize or XUV pulse.