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: "A Neural Network Model of Memory Consolidation"
  Abstract: Some forms of memory rely temporarily on a system of brain structures located in the medial temporal lobe that includes the hippocampus. The recall of recent events is one task that relies crucially on the proper functioning of this system. As the event becomes less recent, the medial temporal lobe becomes less critical to the recall of the event, and the recollection appears to rely more upon the neocortex. It has been proposed that a process called consolidation is responsible for transfer of memory from the medial temporal lobe to the neocortex. We examine a network model proposed by P. Alvarez and L. Squire designed to incorporate some of the known features of consolidation, and propose several possible experiments intended to help evaluate the performance of this model under more realistic conditions. Finally, we implement an extended version of the model that can accommodate varying assumptions about the number of areas and connections within the brain and memory capacity, and examine the performance of our model on Alvarez and Squire's original task.

Connected through hyperedge HE-1 (induced by source paper "Convergence-Zone Episodic Memory: Analysis and Simulations"):
  with members:
    - "Cholinergic suppression of transmission may allow combined associative memory function and self-organization in the neocortex."
    - "Book Review  Introduction to the Theory of Neural Computation Reviewed by: 2"

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