human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups papers that share a common citing paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "REDUCED MEMORY REPRESENTATIONS FOR MUSIC"):
  Abstract: We address the problem of musical variation (identification of different musical sequences as variations) and its implications for mental representations of music. According to reductionist theories, listeners judge the structural importance of musical events while forming mental representations. These judgments may result from the production of reduced memory representations that retain only the musical gist. In a study of improvised music performance, pianists produced variations on melodies. Analyses of the musical events retained across variations provided support for the reductionist account of structural importance. A neural network trained to produce reduced memory representations for the same melodies represented structurally important events more efficiently than others. Agreement among the musicians' improvisations, the network model, and music-theoretic predictions suggest that perceived constancy across musical variation is a natural result of a reductionist mechanism for producing memory representations.

Includes members:
  Member "Induction of Multiscale Temporal Structure":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Diffusion of Context and Credit Information in Markovian Models")
  Member "RESONANCE AND THE PERCEPTION OF MUSICAL METER":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Representing Rhythmic Patterns in a Network of Oscillators")

Question: Please tell me which class the citing paper (i.e., the source paper of the center hyperedge) 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