Chaos, torus and related phenomena from a hysteresis neural network

In order to approach rich dynamics from artificial neural networks, the authors analyze a piecewise linear network consisting of three hysteresis oscillators. First, the authors propose a partial switching rate and clarify various synchronous states. Next, they explicitly derive a return map and confirm the generation of 2-torus, 3-torus and chaos. Laboratory measurements are also performed.