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 "Statistical mechanics of neocortical interactions: Training and testing canonical momenta indicators of EEG"):
  Abstract: A series of papers has developed a statistical mechanics of neocortical interactions (SMNI), deriving aggregate behavior of experimentally observed columns of neurons from statistical electrical-chemical properties of synaptic interactions. While not useful to yield insights at the single neuron level, SMNI has demonstrated its capability in describing large-scale properties of short-term memory and electroencephalographic (EEG) systematics. The necessity of including nonlinear and stochastic structures in this development has been stressed. Sets of EEG and evoked potential data were fit, collected to investigate genetic predispositions to alcoholism and to extract brain signatures of short-term memory. Adaptive Simulated Annealing (ASA), a global optimization algorithm, was used to perform maximum likelihood fits of Lagrangians defined by path integrals of multivariate conditional probabilities. Canonical momenta indicators (CMI) are thereby derived for individual's EEG data. The CMI give better signal recognition than the raw data, and can be used to advantage as correlates of behavioral states. These results give strong quantitative support for an accurate intuitive picture, portraying neocortical interactions as having common algebraic or physics mechanisms that scale across quite disparate spatial scales and functional or behavioral phenomena, i.e., describing interactions among neurons, columns of neurons, and regional masses of neurons. This paper adds to these previous investigations two important aspects, a description of how the CMI may be used in source localization, and calculations using previously ASA-fitted parameters in out-of-sample data.

Includes members:
  Member "STATISTICAL MECHANICS OF COMBAT WITH HUMAN FACTORS":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "GENETIC ALGORITHMS AND VERY FAST SIMULATED REANNEALING: A COMPARISON")
  Member "Path-integral evolution of chaos embedded in noise: Duffing neocortical analog":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Statistical Mechanics of Nonlinear Nonequilibrium Financial Markets: Applications to Optimized Trading")
  Member "Statistical Mechanics of Nonlinear Nonequilibrium Financial Markets: Applications to Optimized Trading":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Volatility of Volatility of Financial Markets")
  Member "MULTIPLE SCALES OF BRAIN-MIND INTERACTIONS":
    also connected through other hyperedges:
      (none)

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