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 "BCM Network develops Orientation Selectivity and Ocular Dominance in Natural Scene Environment."):
  Abstract: A two-eye visual environment is used in training a network of BCM neurons. We study the effect of misalignment between the synaptic density functions from the two eyes, on the formation of orientation selectivity and ocular dominance in a lateral inhibition network. The visual environment we use is composed of natural images. We show that for the BCM rule a natural image environment with binocular cortical misalignment is sufficient for producing networks with orientation selective cells and ocular dominance columns. This work is an extension of our previous single cell misalignment model (Shouval et al., 1996).

Includes members:
  Member "Objective Function Formulation of the BCM Theory of Visual Cortical Plasticity: Statistical Connections, Stability Conditions":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Receptive Fields for Vision: from Hyperacuity to Object Recognition")
  Member "Natural image statistics and efficient coding":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "An information-maximisation approach to blind separation and blind deconvolution")
  Member "Finding Compact and Sparse Distributed Representations of Visual Images":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Neuronal Goals: Efficient Coding and Coincidence Detection")

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