Input-driven bifurcations and information processing capacity in spintronics reservoirs
Nozomi Akashi, Terufumi Yamaguchi, Sumito Tsunegi, Tomohiro Taniguchi, Mitsuhiro Nishida, Ryo Sakurai, Yasumichi Wakao, Kohei Nakajima
Abstract
The authors find two types of input-driven bifurcation in the spin-torque oscillator, and they reveal the information processing capacity as a reservoir computing changes according to these bifurcations.
Topics & Concepts
SpintronicsBifurcationTorqueReservoir computingComputer scienceControl theory (sociology)Topology (electrical circuits)PhysicsNonlinear systemEngineeringCondensed matter physicsElectrical engineeringArtificial intelligenceFerromagnetismArtificial neural networkQuantum mechanicsRecurrent neural networkControl (management)Neural Networks and Reservoir ComputingAdvanced Memory and Neural ComputingNonlinear Dynamics and Pattern Formation