TY -的A2 -冈萨雷斯Andino,萨拉非盟- it Marc盟——Hameroff斯图尔特PY - 2011 DA - 2011/10/23 TI -横向飙升神经元信息处理:意识的神经关联的理论模型SP - 247879六世- 2011 AB -认知脑功能,例如,感官知觉、运动控制和学习,由axonal-dendritic理解为计算化学突触integrate-and-fire神经元网络。认知脑功能可能会有意识或无意识的“自动驾驶仪”()。有意识的认知是γ波同步脑电图,介导主要由dendritic-dendritic缝隙连接,横向连接输入/集成层。Gap-junction-connected神经元定义子在一个更大的神经网络。理论模型(“有意识的飞行员”)表明,缝隙连接打开和关闭,一个gamma-synchronized子网,或带穿过大脑作为一个行政代理人,将无意识的“自动驾驶”的认知意识,并提高计算的相干处理和集体融合。在这项研究中我们实现了横向缝隙连接在一个单层人工神经网络执行图/地面分离。神经元的连接通过缝隙连接形成一个可重构网格电阻或子区。模型中,即将离任的峰值是暂时的集成和空间平均使用固定电阻网格建立的神经元连接通过缝隙连接的类似的功能。这个空间平均,神经元的输出的反馈信号,确定特定的神经元之间的缝隙连接是否打开或关闭。神经元通过开放连接缝隙连接同步输出峰值。 We have tested our gap-junction-defined sub-network in a one-layer neural network on artificial retinal inputs using real-world images. Our system is able to perform figure/ground separation where the laterally connected sub-network of neurons represents a perceived object. Even though we only show results for visual stimuli, our approach should generalize to other modalities. The system demonstrates a moving sub-network zone of synchrony, within which the contents of perception are represented and contained. This mobile zone can be viewed as a model of the neural correlate of consciousness in the brain. SN - 1687-5265 UR - https://doi.org/10.1155/2011/247879 DO - 10.1155/2011/247879 JF - Computational Intelligence and Neuroscience PB - Hindawi Publishing Corporation KW - ER -