Feasibility of Multiplex Communication in a 2D Mesh Asynchronous Neural Network with Fluctuations
Feasibility of Multiplex Communication in a 2D Mesh Asynchronous Neural Network with Fluctuations
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DOI：
10.3934/neuroscience.2016.4.385
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发表时间：
2016-10
期刊：
影响因子：
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通讯作者：
S. Tamura;Y. Nishitani;C. Hosokawa
中科院分区：
文献类型：
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作者：
S. Tamura;Y. Nishitani;C. Hosokawa
由具有波动特征的神经元组成的神经网络如何可靠地传输信息仍然是一个谜。在这项研究中，我们模拟了一个9 × 9的二维网状神经网络，由一个集成和火灾模型没有泄漏，连接权重是随机生成的。神经元的不应期和输出延迟的特性随时间而波动。来自发送神经元组的尖峰传播（作为尖峰波传播）到接收神经元。对于使用反向传播神经网络（BPN）的9比1多路通信，接收神经元以99%的比率成功地分类了哪个神经元组发送了尖峰。换句话说，神经元组的活动在神经网络中以广播方式作为尖峰波传播，并且波片段由接收神经元接收。接下来，通过多径、多路通信和分集接收来执行神经网络中的点到点信号传输。每个神经元可以以三种方式工作：传输、中继（传输）和接收;然而，大多数神经元充当本地中继媒体。这种类型的机制类似于声音通过空气传播。我们的研究小组通过将培养的神经元网络与人工神经网络模拟相结合的实验来研究神经网络的功能。目前的这项研究与我们以前关于远程接收神经元识别培养神经元网络中刺激的两个传递神经元群的能力的工作相对应，即，2对1沟通这些机制可能是高级皮质功能的基础。
It remains a mystery how neural networks composed of neurons with fluctuating characteristics can reliably transmit information. In this study, we simulated a 9 × 9 2D mesh neural network consisting of an integrate-and-fire model without leak, and connection weights that were randomly generated. The characteristics of the refractory period and output delay of the neurons were fluctuated time to time. Spikes from transmitting neuron groups spread (propagated as spike waves) to receiving neurons. For 9 to 1 multiplex communication with a back propagation neural network (BPN), the receiving neurons successfully classified which neuron group transmitted the spike at a rate of 99%. In other words, the activity of the neuron group is propagated in the neural network as spike waves in a broadcasting manner and the wave fragment is received by receiving neurons. Next, point-to-point signal transmission in the neural network is carried out by multi-path, multiplex communication, and diversity reception. Each neuron can function in 3 ways of transmit, relay (transfer), and receive; however, most neurons act as a local relaying media. This type of mechanism is similar to sound propagation through air. Our research group studies the functions of neural networks by combining experiments with cultured neuronal networks with artificial neural network simulations. This current study corresponding to our previous work on the ability of remote receiving neurons to identify two transmitting neuron groups stimulated in a cultured neuronal network, i.e., 2 to 1 communication. These mechanisms may be the basis of higher cortical functions.