Quasiperiodic AlGaAs superlattices for neuromorphic networks and nonlinear control systems

• Main Author: Malyshev, K. V
• Format: Journal Article
• Language: English
• Published: 08-02-2015
• Subjects: Physics - Chaotic Dynamics; Physics - Mesoscale and Nanoscale Physics; Physics - Quantum Physics
• DOI: 10.48550/arxiv.1502.02248

Journal of Applied Physics 117, 044303 (2015) The application of quasiperiodic AlGaAs superlattices as a nonlinear element
of the FitzHugh-Nagumo neuromorphic network is proposed and theoretically
investigated on the example of Fibonacci and figurate superlattices. The
sequences of symbols for the figurate superlattices were produced by
decomposition of the Fibonacci superlattices' symbolic sequences. A length of
each segment of the decomposition was equal to the corresponding figurate
number. It is shown that a nonlinear network based upon Fibonacci and figurate
superlattices provides better parallel filtration of a half-tone picture than a
network based upon traditional diodes which have cubic voltage-current
characteristics. It was found that the figurate superlattice F011(1) as a
nonlinear network's element provides the filtration error almost twice less
than the conventional "cubic" diode. These advantages are explained by a
wavelike shape of the decreasing part of the quasiperiodic superlattice's
voltage-current characteristic, which leads to multistability of the network's
cell. This multistability promises new interesting nonlinear dynamical
phenomena. A variety of wavy forms of voltage-current characteristics opens up
new interesting possibilities for quasiperiodic superlattices and especially
for figurate superlattices in many areas - from nervous system modeling to
nonlinear control systems development