human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent groups of papers sharing a common citing paper.

Details of the hypergraph:
Center node: "Stability and Chaos in an Inertial Two Neuron System  in Statistical Mechanics and Complex Systems"
  Abstract: Inertia is added to a continuous-time, Hopfield [1], effective neuron system. We explore the effects on the stability of the fixed points of the system. A two neuron system with one or two inertial terms added is shown to exhibit chaos. The chaos is confirmed by Lyapunov exponents, power spectra, and phase space plots. Key words: chaos, Hopfield model, effective neurons, Lyapunov exponent, inertia.

Connected through hyperedge HE-1 (induced by source paper "Nonlinear Resonance in Neuron Dynamics  in Statistical Mechanics and Complex Systems"):
  with members:
    (none)

Question: Please tell me which class the center node belongs to. The 7 classes are: Neural_Networks, Reinforcement_Learning, Probabilistic_Methods, Theory, Genetic_Algorithms, Case_Based, Rule_Learning. Directly output the class name.

gpt: Neural_Networks