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Principles of odor coding and a neural network for odor discrimination.

机译:气味编码原理和用于气味识别的神经网络。

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摘要

A concept of olfactory coding is proposed. It describes the stimulus responses of all receptor cells by the use of vector spaces. The morphological convergence pattern between receptor cells and glomeruli is given in the same vector space as the receptor cell activities. The overall input of a glomerulus follows as the scalar product of the receptor cell activity vector and the vector of the glomerulus' convergence pattern. The proposed coding concept shows how the network of the olfactory bulb succeeds in discriminating odors with high selectivity. It is concluded that sets of mitral cells coding similar odors work very much in the way of mutually inhibited matched filters. This solves one main problem both in olfaction as well as real-time odor detection by an artificial nose, i.e., how the fairly low degree of selectivity of receptor cells or sensors is overcome by the neural network following the receptor stage. The formal description of olfactory coding suggests that quality perception which is invariant under concentration shifts is accomplished by an associative memory in the olfactory bulb.
机译:提出了嗅觉编码的概念。它描述了通过使用载体空间对所有受体细胞的刺激反应。受体细胞和肾小球之间的形态学收敛模式在与受体细胞活性相同的向量空间中给出。肾小球的总输入为受体细胞活性向量与肾小球的收敛模式向量的标量积。提出的编码概念显示了嗅球的网络如何成功地以高选择性区分气味。结论是,编码相似气味的二尖瓣细胞组以相互抑制的匹配过滤器的方式非常有效。这解决了嗅觉以及通过人工鼻子进行的实时气味检测中的一个主要问题,即,在受体阶段之后如何通过神经网络克服受体细胞或传感器的选择性相当低的选择性。嗅觉编码的正式描述表明,在嗅觉球囊中的相关记忆可以实现在浓度变化下不变的质量感知。

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