“有意识的飞行员”树突同步在大脑中移动(像电脑蠕虫一样)来调节意识

S. Hameroff
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引用次数: 0

摘要

大脑被视为一台计算机,其中感觉处理、行为控制和其他认知功能来自类似感知器的神经元并行网络中的“神经计算”。在每个神经元中,树突接收并整合突触输入到轴突放电的阈值,作为输出——“整合-放电”。轴突-树突突触网络中的神经计算成功地解释了无意识(自动驾驶)认知脑功能。当认知功能伴随着意识时,神经计算伴随着30 ~ 90hz的同步脑电图。伽马同步主要来源于由树突-树突间隙连接连接的神经元群,在输入/整合层形成瞬时合胞体(“树突网”),向轴突-树突神经计算流倾斜。随着间隙连接的打开和关闭,一个与伽马同步的树突网络可以迅速改变拓扑结构,进化并在大脑中移动(就像仁慈的计算机蠕虫可能在计算机电路中移动一样),作为一个时空包络,执行集体整合和与意识相关的意志选择。“有意识的飞行员”是一个隐喻性的描述,它是一个移动的、同步的树突网络,作为一个有意识的代理/飞行员的载体,它体验并控制了无意识的自动驾驶神经计算。将展示模拟,并讨论自组织移动代理通过计算网络的输入/集成层移动的计算机科学应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The ‘conscious pilot’ dendritic synchrony moves through the brain (like a computer worm) to mediate consciousness
The brain is viewed as a computer in which sensory processing, control of behavior and other cognitive functions emerge from ‘neurocomputation’ in parallel networks of perceptron-like neurons. In each neuron, dendrites receive and integrate synaptic inputs to a threshold for axonal firing as output — ‘integrate-and-fire’. Neurocomputation in axonal-dendritic synaptic networks successfully accounts for non-conscious (auto-pilot) cognitive brain functions. When cognitive functions are accompanied by consciousness, neurocomputation is accompanied by 30 to 90 Hz gamma synchrony EEG. Gamma synchrony derives primarily from neuronal groups linked by dendritic-dendritic gap junctions, forming transient syncytia (‘dendritic webs’) in input/integration layers oriented sideways to axonal-dendritic neurocomputational flow. As gap junctions open and close, a gamma-synchronized dendritic web can rapidly change topology, evolve and move through the brain (like a benevolent computer worm might move through computer circuits) as a spatiotemporal envelope performing collective integration and volitional choices correlating with consciousness. The ‘conscious pilot’ is a metaphorical description for a mobile, gamma-synchronized dendritic web as vehicle for a conscious agent/pilot which experiences and assumes control of otherwise non-conscious auto-pilot neurocomputation. Simulations will be shown and computer science applications of a self-organizing mobile agent moving through input/integration layers of computational networks will be discussed.
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