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: "Solving the Temporal Binding Problem: A Neural Theory for Constructing and Updating Object Files"
  Abstract: Visual objects are perceived only if their parts are correctly identified and integrated. A neural network theory is proposed that seeks to explain how the human visual system binds together visual properties, dispersed over space and time, of multiple objects a problem known as the temporal binding problem [49, 30]. The proposed theory is based upon neural mechanisms that construct and update object representations through the interactions of a serial attentional mechanism for location and object-based selection, preattentive Gestalt-based grouping mechanisms, and an associative memory structure that binds together object identity, form, and spatial information. A working model is presented that provides a unified quantitative explanation of results from psychophysical experiments on object review, object integration and multielement tracking.

Connected through hyperedge HE-1 (induced by source paper "An Object-Based Neural Model of Serial Processing in Visual Multielement Tracking"):
  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