title: Phase transitions enable computational universality in neuristor-based cellular automata.
abstract: We recently demonstrated that Mott memristors, two-terminal devices that exhibit threshold switching via an insulator to conductor phase transition, can serve as the active components necessary to build a neuristor, a biomimetic threshold spiking device. Here we extend those results to demonstrate, in simulation, neuristor-based circuits capable of performing general Boolean logic operations. We additionally show that these components can be used to construct a one-dimensional cellular automaton, rule 137, previously proven to be universal. This proof-of-principle shows that localized phase transitions can perform spiking computation, which is of particular interest for neuromorphic hardware.
authors.affiliation: Hewlett-Packard Laboratories, 1501 Page Mill Road, Palo Alto, CA 94304, USA.
authors.forename: Matthew D
authors.initials: MD
authors.lastname: Pickett
authors.forename: R Stanley
authors.initials: RS
authors.lastname: Williams
mesh_terms: D000200:Action Potentials; D040761:Biomimetic Materials; D039301:Computers, Molecular; D004581:Electronics; D008959:Models, Neurological; D036103:Nanotechnology / Q000295:instrumentation* / Q000379:methods*; D016571:Neural Networks, Computer