human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "brain biological noise based logic"
  Abstract: Neural spikes in the brain form stochastic sequences, i.e., belong to the class of pulse noises. This stochasticity is a counterintuitive feature because extracting information—such as the commonly supposed neural information of mean spike frequency—requires long times for reasonably low error probability. The mystery could be solved by noise-based logic, wherein randomness has an important function and allows large speed enhancements for special-purpose tasks, and the same mechanism is at work for the brain logic version of this concept.

Connected through hyperedge HE-1 (induced by source paper "entanglement and unsorted database search in noise based logic"):
  with members:
    - "a quantum inspired classical algorithm for recommendation systems"
    - "noise based logic gates by operations on the reference system"
    - "quantum inspired classical algorithms for principal component analysis and supervised clustering"
    - "drawing from hats by noise based logic"
    - "bird s eye view on noise based logic"
    - "noise based logic why noise a comparative study of the necessity of randomness out of orthogonality"
    - "computation using noise based logic efficient string verification over a slow communication channel"
    - "new noise based logic representations to avoid some problems with time complexity"

Connected through hyperedge HE-2 (induced by source paper "bird s eye view on noise based logic"):
  with members:
    - "noise based logic why noise a comparative study of the necessity of randomness out of orthogonality"
    - "boolean satisfiability using noise based logic"
    - "instantaneous non squeezed noise based logic"
    - "new noise based logic representations to avoid some problems with time complexity"
    - "instantaneous noise based logic"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.NE(Neural and Evolutionary Computing)