Tegmark M
Institute for Advanced Study, Olden Lane, Princeton, New Jersey 08540, USA.
Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 2000 Apr;61(4 Pt B):4194-206. doi: 10.1103/physreve.61.4194.
Based on a calculation of neural decoherence rates, we argue that the degrees of freedom of the human brain that relate to cognitive processes should be thought of as a classical rather than quantum system, i.e., that there is nothing fundamentally wrong with the current classical approach to neural network simulations. We find that the decoherence time scales ( approximately 10(-13)-10(-20) s) are typically much shorter than the relevant dynamical time scales ( approximately 10(-3)-10(-1) s), both for regular neuron firing and for kinklike polarization excitations in microtubules. This conclusion disagrees with suggestions by Penrose and others that the brain acts as a quantum computer, and that quantum coherence is related to consciousness in a fundamental way.
基于对神经退相干率的计算,我们认为,与认知过程相关的人类大脑自由度应被视为一个经典系统而非量子系统,也就是说,当前用于神经网络模拟的经典方法在根本上并无错误。我们发现,无论是对于常规神经元放电还是对于微管中的扭结状极化激发,退相干时间尺度(约10^(-13) - 10^(-20) 秒)通常都比相关的动力学时间尺度(约10^(-3) - 10^(-1) 秒)短得多。这一结论与彭罗斯等人的观点不同,他们认为大脑如同量子计算机一般运作,且量子相干性在根本上与意识相关。