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 "References "Using Neural Networks to Identify Jets", Kohonen, "Self Organized Formation of Topologically Correct Feature"):
  Abstract: 2] D. E. Rumelhart, G. E. Hinton and R. J. Williams, "Learning Internal Representations by Error Propagation", in D. E. Rumelhart and J. L. McClelland (eds.) Parallel Distributed Processing: Explorations in the Microstructure of Cognition (Vol. 1), MIT Press (1986).

Includes members:
  Member "Topography And Ocular Dominance: A Model Exploring Positive Correlations":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Analyzing Phase Transitions in High-Dimensional Self-Organizing Maps")
  Member "Constrained Optimization for Neural Map Formation: A Unifying Framework for Weight Growth and Normalization":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Theory of Correlations in Stochastic Neural Networks")
  Member "Self-Organization and Functional Role of Lateral Connections and Multisize Receptive Fields in the Primary Visual Cortex":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Cholinergic suppression of transmission may allow combined associative memory function and self-organization in the neocortex.")
  Member "Generative Models for Discovering Sparse Distributed Representations":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "Continuous sigmoidal belief networks trained using slice sampling")
  Member "SCRIPT RECOGNITION WITH HIERARCHICAL FEATURE MAPS":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "SELF-ORGANIZING PROCESS BASED ON LATERAL INHIBITION AND SYNAPTIC RESOURCE REDISTRIBUTION")
  Member "SELF-ORGANIZING PROCESS BASED ON LATERAL INHIBITION AND SYNAPTIC RESOURCE REDISTRIBUTION":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "How Lateral Interaction Develops in a Self-Organizing Feature Map")
  Member "IEEE Learning the Semantic Similarity of Reusable Software Components":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "Cholinergic suppression of transmission may allow combined associative memory function and self-organization in the neocortex.")
  Member "Self-Organization and Segmentation in a Laterally Connected Orientation Map of Spiking Neurons":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "Cholinergic suppression of transmission may allow combined associative memory function and self-organization in the neocortex.")

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