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Spike Detection in Axonal-synaptic Channels with Multiple Synapses

机译:具有多个突触的轴突突触通道中的峰值检测。

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The human nervous systems is a complex network, which consists of neurons interacting with each other through a hybrid electro-chemical communication called neuro-spike communications. A first building-block in network analysis of the neuro-spike nano-network is multiple-input-single- output (MISO) diversity scheme. Thus, in this paper, we consider a MISO transmission in a axonal-synaptic channels. In addition, for the first time, we model axonal noise as a binary X-channel. We derive error probability in a system consisting of axonal and synaptic noises, random channel and random vesicle release in a network with multiple transmitting synapses.
机译:人类的神经系统是一个复杂的网络,由多个神经元组成,这些神经元通过称为“神经尖峰通信”的混合电化学通信相互交互。神经穗状纳米网络的网络分析的第一个基本要素是多输入单输出(MISO)分集方案。因此,在本文中,我们考虑了轴突突触通道中的MISO传输。此外,我们首次将轴突噪声建模为二进制X通道。我们推导了系统中的错误概率,该系统由具有多个发射突触的网络中的轴突和突触噪声,随机通道和随机囊泡释放组成。

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