Multi-layer perceptron with pulse glial chain having oscillatory excitation threshold
Multi-layer perceptron with pulse glial chain having oscillatory excitation threshold
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DOI：
10.1109/iscas.2015.7168887
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发表时间：
2015-05
期刊：
影响因子：
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通讯作者：
C. Ikuta;Y. Uwate;Y. Nishio
中科院分区：
文献类型：
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作者：
C. Ikuta;Y. Uwate;Y. Nishio
大脑有神经元和神经胶质细胞。在大脑中，这些细胞相互关联，形成更高级的大脑功能。在这项研究中，我们提出了一种具有振荡激励阈值的脉冲胶质链多层感知器。我们将人造胶质细胞单元与隐藏层中的神经元连接起来。当连接的神经元输出大于连接的胶质细胞的兴奋阈值时，胶质细胞兴奋并产生脉冲。这个脉冲传递到邻近的胶质细胞和连接的神经元。脉冲增加了连接神经元的阈值，因此神经胶质提供了解决任务的能量。在该模型中，激励阈值在一个定义值内振荡。即使连接神经元的输出不发生变化，脉冲的产生也是由激发阈值的振荡引起的。激励阈值的振荡给网络提供了更多的能量，提高了MLP的学习性能。通过计算机仿真，我们证实了激励阈值的振荡提高了学习性能。
A brain has neuron and glial cells. In the brain, these cells correlate each other and make a higher brain function. In this study, we propose a Multi-Layer Perceptron (MLP) with pulse glial chain having oscillatory excitation threshold. We connect artificial glia units with the neurons in a hidden-layer. When the connecting neuron output is larger than an excitation threshold of the connected glia, the glia excites and generates the pulse. This pulse transmits to the neighboring glias and the connecting neuron. The pulse increases a threshold of the connecting neuron, thus the glia gives energy for solving tasks. In this model, the excitation threshold is oscillating within a defined value. Even if the connecting neuron output does not change, the pulse generation occurs by the oscillation of the excitation threshold. The oscillation of the excitation threshold gives more energy to the network and improves a learning performance of the MLP. By computer simulation, we confirm that the oscillation of the excitation threshold improves a learning performance.