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Modelling microtubules in the brain as n-qudit quantum Hopfield network and beyond

机译:将大脑中的微管建模为n量子量子Hopfield网络及其他

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摘要

The scientific approach to understand the nature of consciousness revolves around the study of the human brain. Neurobiological studies that compare the nervous system of different species have accorded the highest place to humans on account of various factors that include a highly developed cortical area comprising of approximately 100 billion neurons, that are intrinsically connected to form a highly complex network. Quantum theories of consciousness are based on mathematical abstraction and the Penrose-Hameroff Orch-OR theory is one of the most promising ones. Inspired by the Penrose-Hameroff Orch-OR theory, Behrman et al. have simulated a quantum Hopfield neural network with the structure of a microtubule. They have used an extremely simplified model of the tubulin dimers with each dimer represented simply as a qubit, a single quantum two-state system. The extension of this model to n-dimensional quantum states or n-qudits presented in this work holds considerable promise for even higher mathematical abstraction in modelling consciousness systems.
机译:理解意识本质的科学方法围绕着人类大脑的研究。由于各种因素,包括不同种类的神经系统的神经生物学研究在人类中占有最高的地位,这些因素包括高度发达的皮质区域,该区域由大约1000亿个神经元组成,这些神经元本质上相互连接形成一个高度复杂的网络。意识的量子理论是基于数学抽象的,彭罗斯·哈默洛夫·奥尔奇OR理论是最有前途的理论之一。受彭罗斯-哈默洛夫Orch-OR理论的启发,Behrman等人。用微管结构模拟了量子Hopfield神经网络。他们使用了微管蛋白二聚体的极其简化的模型,每个二聚体都简单地表示为一个量子比特,一个单量子两态系统。该模型扩展到本研究中提出的n维量子态或n量子态,为建模意识系统中更高的数学抽象度提供了可观的前景。

著录项

  • 来源
    《International journal of general systems》 |2016年第2期|41-54|共14页
  • 作者单位

    Dayalbagh Educ Inst, Dept Phys & Comp Sci, Agra, Uttar Pradesh, India|Dayalbagh Educ Inst, Quantum Nano Syst Ctr, Agra, Uttar Pradesh, India;

    Dayalbagh Educ Inst, Quantum Nano Syst Ctr, Agra, Uttar Pradesh, India|Dayalbagh Educ Inst, Ctr Consciousness Studies, Agra, Uttar Pradesh, India;

    Dayalbagh Educ Inst, Advisory Comm Educ, Agra, Uttar Pradesh, India|Taylor & Francis, Int Journal Gen Syst, Editorial Board, Abingdon, Oxon, England;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Quantum Hopfield network; qudits; contextuality; power laws;

    机译:量子Hopfield网络量子上下文幂律;

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