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 "Modeling dynamic receptive field changes produced by intracortical microstimulation"):
  Abstract: Intracortical microstimulation (ICMS) of a localized site in the somatosensory cortex of rats and monkeys for 2-6 hours produces a large increase in the cortical representation of the skin region represented by the ICMS-site neurons before ICMS, with very little effect on the ICMS-site neuron's RF location, RF size, and responsiveness (Recanzone et al., 1992). The "EXIN" (afferent excitatory and lateral inhibitory) learning rules (Marshall, 1995) are used to model RF changes during ICMS. The EXIN model produces reorganization of RF topography similar to that observed experimentally. The possible role of inhibitory learning in producing the effects of ICMS is studied by simulating the EXIN model with only lateral inhibitory learning. The model also produces an increase in the cortical representation of the skin region represented by the ICMS-site RF. ICMS is compared to artificial scotoma conditioning (Pettet & Gilbert, 1992) and retinal lesions (Darian-Smith & Gilbert, 1995), and it is suggested that lateral inhibitory learning may be a general principle of cortical plasticity.

Includes members:
  Member "Modeling dynamic receptive field changes in primary visual cortex using inhibitory learning":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Rearrangement of receptive field topography after intracortical and peripheral stimulation: The role of plasticity in")
  Member "Plasticity in cortical neuron properties: Modeling the effects of an NMDA antagonist and a GABA":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Generalization and Exclusive Allocation of Credit in Unsupervised Category Learning")

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