Analysis of Attention in Human Perceptual Alternation Phenomena and Its Quantum Neuro Computing Model

本研究探讨了人类感知交替的注意现象及其量子神经计算模型。为了构建一个新的框架来描述这种感知交替的神经网络中固有的分布和合成的内聚性，对神经状态进行了量子动力学描述，并研究了与量子计算的量子电路相对应的类量子神经网络。最后，我们利用量子比特神经元模型构建了前馈神经网络，并通过对4比特奇偶校验问题和一般函数辨识问题的学习仿真，讨论了其与传统神经元模型的信息处理能力，得到了学习性能图。从这些图中，我们发现我们的量子比特神经元模型比传统的更优秀。从我们的主要结果，我们得出结论，我们的量子比特神经元模型是一种有效的方法，提高神经网络的性能。我们还构建了一个神经网络模型，通过使用耦合振荡神经元或混沌神经元，可以描述神经元放电的时间知觉模糊图形的交替。从我们的模拟结果与此模型，它被发现，该模型是能够代表知觉交替的相位活动和神经元相位的同步。它还表明，知觉时长的分布符合伽玛分布，以及它在心理物理实验中的报告。然而，如何将我们的量子位神经元与耦合振荡感知交替模型连接起来，还有待进一步研究。

In this research, we dealt with the attention phenomena of human perceptual-alternation and its quantum neuro computing model. In order to construct a new framework for describing the cohesiveness of the distribution and synthesis inherent in a neural network for this perceptual-alternation, a neural state is described quantum dynamically and a qubitlike neural network corresponding to the quantum circuit of quantum computation is studied. As a result, we construct the feed-forward neural network with our qubit neuron model, and discuss its information processing abilities with conventional neuron models through the learning simulations of the 4bit parity check problem and the general function identification problem, and we obtain the performance figure of learning. From these figures, we find that our qubit neuron model is more excellent than the conventional one. From our main results, we conclude that our qubit neuron model is an effective method of enhancing the performance of neural networks. We also construct a neural network model for perceptual alternation of ambiguous figures by using coupled oscillatory neurons or chaos neurons that can describe the timing of neuronal firing. From our results of simulations with this model, it is found that the model is able to represent the perceptual alternation in terms of the phase activities and synchronizations of neuronal phases. It is also shown that the distribution of perceptual duration fits Gamma distribution well as it is reported in psychophysical experiments. There, however, remains a further investigation of how to connect our qubit neuron with the coupled oscillatory perceptual-alternation model.