Non-Equilibrium ϕ4 Theory in a Hierarchy: Towards Manipulating Holograms in Quantum Brain Dynamics

Akihiro Nishiyama, Shigenori Tanaka, Jack A. Tuszynski
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引用次数: 4

Abstract

We describe non-equilibrium ϕ4 theory in a hierarchical manner to develop a method for manipulating coherent fields as a toy model of introducing control into Quantum Field Theory (QFT) of the brain, which is called Quantum Brain Dynamics (QBD). We begin with the Lagrangian density of ϕ4 model, where we adopt 2-Particle-Irreducible (2PI) effective action, and derive the Klein–Gordon equation of coherent fields with a damping term as an input–output equation proposed in areas of morphological computation or reservoir computing. Our analysis is extended to QFT in a hierarchy representing multiple layers covering cortex in a brain. We find that the desired target function is achieved via time-evolution in the Klein–Gordon equations in a hierarchy of numerical simulations when a signal in both the input and output prevails over noise in the intermediate layers. Our approach will be applied to control coherent fields in the systems (in a hierarchy) described in the QFT framework, with potential applications allowing the manipulation of quantum fields, especially holograms in QBD. We could then provide realistic physical degrees of freedom of a light–matter system in the contexts of quantum cognition and the associated free-energy principle.
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层次结构中的非平衡态ϕ4理论:在量子脑动力学中操纵全息图
我们以分层方式描述非平衡态的ϕ4理论,以开发一种操作相干场的方法,作为将控制引入大脑量子场论(QFT)的玩具模型,称为量子脑动力学(QBD)。我们从拉格朗日密度模型开始,其中我们采用2粒子不可约(2PI)有效作用,并推导出具有阻尼项的相干场的Klein-Gordon方程,作为形态学计算或库计算领域中提出的输入输出方程。我们的分析被扩展到QFT中的层次结构,表示覆盖大脑皮层的多层。我们发现,当输入和输出中的信号都优于中间层中的噪声时,期望的目标函数通过Klein-Gordon方程中的时间进化实现。我们的方法将被应用于控制QFT框架中描述的系统(在层次结构中)中的相干场,具有潜在的应用允许操纵量子场,特别是QBD中的全息图。然后,我们可以在量子认知和相关的自由能原理的背景下提供光-物质系统的实际物理自由度。
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