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嗅球模型中信号混合物的分解

Decomposition of a mixture of signals in a model of the olfactory bulb.

作者信息

Hendin O, Horn D, Hopfield J J

机构信息

School of Physics and Astronomy, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Israel.

出版信息

Proc Natl Acad Sci U S A. 1994 Jun 21;91(13):5942-6. doi: 10.1073/pnas.91.13.5942.

DOI:10.1073/pnas.91.13.5942
PMID:8016093
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC44113/
Abstract

We describe models for the olfactory bulb which perform separation and decomposition of mixed odor inputs from different sources. The odors are unknown to the system; hence this is an analog and extension of the engineering problem of blind separation of signals. The separation process makes use of the different temporal fluctuations of the input odors which occur under natural conditions. We discuss two possibilities, one relying on a specific architecture connecting modules with the same sensory inputs and the other assuming that the modules (e.g., glomeruli) have different receptive fields in odor space. We compare the implications of these models for the testing of mixed odors from a single source.

摘要

我们描述了嗅球模型,该模型可对来自不同来源的混合气味输入进行分离和分解。系统对这些气味并不了解;因此,这是信号盲分离工程问题的一种类似情况及扩展。分离过程利用了自然条件下输入气味的不同时间波动。我们讨论了两种可能性,一种依赖于将具有相同感官输入的模块连接起来的特定架构,另一种假设这些模块(例如,肾小球)在气味空间中具有不同的感受野。我们比较了这些模型对于测试来自单一来源的混合气味的影响。