title: Reservoir computing with a single time-delay autonomous Boolean node.
abstract: We demonstrate reservoir computing with a physical system using a single autonomous Boolean logic element with time-delay feedback. The system generates a chaotic transient with a window of consistency lasting between 30 and 300 ns, which we show is sufficient for reservoir computing. We then characterize the dependence of computational performance on system parameters to find the best operating point of the reservoir. When the best parameters are chosen, the reservoir is able to classify short input patterns with performance that decreases over time. In particular, we show that four distinct input patterns can be classified for 70 ns, even though the inputs are only provided to the reservoir for 7.5 ns.
authors.affiliation: Department of Physics, Duke University, Durham, North Carolina 27708, USA.
authors.forename: Nicholas D
authors.initials: ND
authors.lastname: Haynes
authors.affiliation: Instituto de Física Interdisciplinar y Sistemas Complejos, IFISC (CSIC-UIB), Campus Universitat de les Illes Balears, E-07122 Palma de Mallorca, Spain.
authors.forename: Miguel C
authors.initials: MC
authors.lastname: Soriano
authors.affiliation: Department of Physics, Duke University, Durham, North Carolina 27708, USA.
authors.forename: David P
authors.initials: DP
authors.lastname: Rosin
authors.affiliation: Instituto de Física Interdisciplinar y Sistemas Complejos, IFISC (CSIC-UIB), Campus Universitat de les Illes Balears, E-07122 Palma de Mallorca, Spain.
authors.forename: Ingo
authors.initials: I
authors.lastname: Fischer
authors.affiliation: Department of Physics, Duke University, Durham, North Carolina 27708, USA.
authors.forename: Daniel J
authors.initials: DJ
authors.lastname: Gauthier
mesh_terms: D003201:Computers; D016014:Linear Models; D017711:Nonlinear Dynamics; D010363:Pattern Recognition, Automated; D013997:Time Factors