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 "Generalization and Exclusive Allocation of Credit in Unsupervised Category Learning"):
  Abstract: Acknowledgements: This research was supported in part by the Office of Naval Research (Cognitive and Neural Sciences, N00014-93-1-0208) and by the Whitaker Foundation (Special Opportunity Grant). We thank George Kalarickal, Charles Schmitt, William Ross, and Douglas Kelly for valuable discussions.

Includes members:
  Member "References "Using Neural Networks to Identify Jets", Kohonen, "Self Organized Formation of Topologically Correct Feature":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Soft Computing: the Convergence of Emerging Reasoning Technologies")
  Member "An information-maximisation approach to blind separation and blind deconvolution":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Independent Component Analysis by General Non-linear Hebbian-like Learning Rules")
  Member "Using Sampling and Queries to Extract Rules from Trained Neural Networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Extracting Provably Correct Rules from Artificial Neural Networks")
  Member "Plasticity in cortical neuron properties: Modeling the effects of an NMDA antagonist and a GABA":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "Modeling dynamic receptive field changes produced by intracortical microstimulation")
  Member "Rearrangement of receptive field topography after intracortical and peripheral stimulation: The role of plasticity in":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "Modeling dynamic receptive field changes in primary visual cortex using inhibitory learning")

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