A simple model of spike processing
A simple model of spike processing
复制标题
尖峰处理的简单模型
DOI：
10.1016/j.neucom.2005.12.050
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发表时间：
2006
期刊：
影响因子：
6
通讯作者：
A. Lazar
中科院分区：
文献类型：
--
作者：
A. Lazar
我们描述了一个简单的模型的尖峰处理建立与一些神经硬件原语，包括集成和消防神经元，树突状树，积分器，抑制逻辑和一对多轴突/树突状树连接。在功能上，我们的模型包括神经调制器，通信通道，神经解调器和过滤器。整合和激发神经元起着神经调节剂的作用。它们通过可逆计算的过程表示尖峰域中的树突电流。神经解调和不可逆计算在树突树中作为时域线性和/或非线性操作发生。假设在输入的一个集成和消防感觉神经元的刺激是带限的，我们演示了如何构建一个线性算子，映射到一个所需的神经元信号的任意刺激。
We describe a simple model of spike processing build with a number of neural hardware primitives including integrate-and-fire neurons, dendritic trees, integrators, inhibition logic and one-to-many axonal/dendritic tree connectivity. Functionally, our model consists of neuro-modulators, communication channels, neuro-demodulators and filters. Integrate-and-fire neurons play the role of neuro-modulators. They represent dendritic currents in the spike domain through a process of reversible computation. Neuro-demodulation and irreversible computation takes place in dendritic trees as time domain linear and/or non-linear operations. Assuming that the stimulus at the input of an integrate-and-fire sensory neuron is bandlimited, we demonstrate how to construct a linear operator that maps an arbitrary stimulus into a desired neuronal signal.