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: "threshold logic computing memristive cmos circuits for fast fourier transform and vedic multiplication"
  Abstract: Brain-inspired circuits can provide an alternative solution to implement computing architectures taking advantage of fault tolerance and generalization ability of logic gates. In this brief, we advance over the memristive threshold circuit configuration consisting of memristive averaging circuit in combination with operational amplifier and/or CMOS inverters in application to realizing complex computing circuits. The developed memristive threshold logic gates are used for designing fast Fourier transform and multiplication circuits useful for modern microprocessors. Overall, the proposed threshold logic outperforms previous memristive-CMOS logic cells on every aspect, however, they indicate a lower chip area, lower total harmonic distortion, and controllable leakage power, but a higher power dissipation with respect to CMOS logic.

Connected through hyperedge HE-1 (induced by source paper "practical implementation of memristor based threshold logic gates"):
  with members:
    - "programmable memristive threshold logic gate array"
    - "mixed precision in memory computing"
    - "hierarchical temporal memory using memristor networks a survey"
    - "approximate probabilistic neural networks with gated threshold logic"
    - "a survey of memristive threshold logic circuits"
    - "memristor threshold logic an overview to challenges and applications"
    - "a reconfigurable fir filter with memristor based weights"
    - "voltage controlled memristor threshold logic gates"

Connected through hyperedge HE-2 (induced by source paper "a survey of memristive threshold logic circuits"):
  with members:
    - "memristive threshold logic circuit design of fast moving object detection"
    - "design and synthesis of ultralow energy spin memristor threshold logic"
    - "resistive threshold logic"
    - "ultra low energy high performance dynamic resistive threshold logic"
    - "cognitive memory network"

Connected through hyperedge HE-3 (induced by source paper "memristive system design for variable pixel g neighbor denoising filter"):
  with members:
    - "a survey of memristive threshold logic circuits"
    - "voltage controlled memristor threshold logic gates"
    - "resistive threshold logic"
    - "a biomimetic model of the outer plexiform layer by incorporating memristive devices"

Connected through hyperedge HE-4 (induced by source paper "voltage controlled memristor threshold logic gates"):
  with members:
    - "memristive threshold logic circuit design of fast moving object detection"
    - "resistive threshold 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.ET(Emerging Technologies)