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: "An Object-Based Neural Model of Serial Processing in Visual Multielement Tracking"
  Abstract: A quantitative model is provided for psychophysical data on the tracking of multiple visual elements (multielement tracking). The model employs an object-based attentional mechanism for constructing and updating object representations. The model selectively enhances neural activations to serially construct and update the internal representations of objects through correlation-based changes in synaptic weights. The correspondence problem between items in memory and elements in the visual input is resolved through a combination of top-down prediction signals and bottom-up grouping processes. Simulations of the model on image sequences used in multielement tracking experiments show that reported results are consistent with a serial tracking mechanism that is based on psychophysical and neurobiological findings. In addition, simulations show that observed effects of perceptual grouping on tracking accuracy may result from the interactions between attention-guided predictions of object location and motion and grouping processes involved in solving the motion correspondence problem.

Connected through hyperedge HE-1 (induced by source paper "Solving the Temporal Binding Problem: A Neural Theory for Constructing and Updating Object Files"):
  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