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arXiv quant-ph/0408148quant-ph
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量子理论在脑动力学中的应用

Indispensable Role of Quantum Theory in the Brain Dynamics

Yukinari Kurita

摘要:

最近,Tegmark指出,在神经元的放电和静息态的叠加中涉及的离子态的叠加会快速退相干。这无疑表明,神经网络不能像量子计算机那样工作,也不能像计算机那样利用相干态。这是否也意味着大脑可以被建模为遵循经典物理学的神经网络?在这里,我们表明,这并不意味着大脑可以被建模为一个遵循经典物理学的神经网络。从量子理论的角度对神经网络的研究提供了一个全新的视角。

英文摘要:

Recently, Tegmark pointed out that the superposition of ion states involved in the superposition of firing and resting states of a neuron quickly decohere. It undoubtedly indicates that neural networks cannot work as quantum computers, or computers taking advantage of coherent states. Does it also mean that the brain can be modeled as a neural network obeying classical physics? Here we show that it does not mean that the brain can be modeled as a neural network obeying classical physics. A brand new perspective in research of neural networks from quantum theoretical aspect is presented.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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