human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "hierarchical temporal memory using memristor networks a survey"):
  Abstract: This paper presents a survey of the currently available hardware designs for implementation of the human cortex inspired algorithm, Hierarchical Temporal Memory (HTM). In this review, we focus on the state of the art advances of memristive HTM implementation and related HTM applications. With the advent of edge computing, HTM can be a potential algorithm to implement on-chip near sensor data processing. The comparison of analog memristive circuit implementations with the digital and mixed-signal solutions are provided. The advantages of memristive HTM over digital implementations against performance metrics such as processing speed, reduced on-chip area and power dissipation are discussed. The limitations and open problems concerning the memristive HTM, such as the design scalability, sneak currents, leakage, parasitic effects, lack of the analog learning circuits implementations and unreliability of the memristive devices integrated with CMOS circuits are also discussed.

Includes members:
  Member "feature extraction without learning in an analog spatial pooler memristive cmos circuit design of hierarchical temporal memory":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "neuromemristive circuits for edge computing a review")
  Member "on chip face recognition system design with memristive hierarchical temporal memory":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "neuromemristive circuits for edge computing a review")
  Member "a survey of memristive threshold logic circuits":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "neuromemristive circuits for edge computing a review")
  Member "hierarchical temporal memory based on spin neurons and resistive memory for energy efficient brain inspired computing":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "binary weighted memristive analog deep neural network for near sensor edge processing")
  Member "non volatile hierarchical temporal memory hardware for spatial pooling":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "neuromemrisitive architecture of htm with on device learning and neurogenesis")
  Member "continuous online sequence learning with an unsupervised neural network model":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "unsupervised progressive learning and the stam architecture")

Question: Please tell me which class the source paper 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.AR(Hardware Architecture)