OLFACTORY COMPUTATION AND OBJECT PERCEPTION
OLFACTORY COMPUTATION AND OBJECT PERCEPTION
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DOI：
10.1073/pnas.88.15.6462
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发表时间：
1991-08-01
影响因子：
11.1
通讯作者：
HOPFIELD, JJ
中科院分区：
文献类型：
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作者：
HOPFIELD, JJ
主要依赖嗅觉的动物必须仅通过嗅觉获得对环境气味源的空间位置和个体气味质量的描述。湍流气流的可变性质使得这样的遥感问题是可以解决的，如果动物可以利用气味源的混合物随时间的波动所传达的信息。行为证据表明，这样的分析发生。自适应网络可以解决这个基本问题，隔离几个单独的未知气味源混合物中组分的质量和强度。网络结构是嗅球回路的理想化。突触变化的动力学对计算是必不可少的。突触变量本身包含高级处理中心所需的信息。使用相同的轴突来传递强度信息和质量信息需要信息的时间编码。协变定义了一个单独的气味源（对象），这可能在视觉上有一个平行。
Animals that are primarily dependent on olfaction must obtain a description of the spatial location and the individual odor quality of environmental odor sources through olfaction alone. The variable nature of turbulent air flow makes such a remote sensing problem solvable if the animal can make use of the information conveyed by the fluctuation with time of the mixture of odor sources. Behavioral evidence suggests that such analysis takes place. An adaptive network can solve the essential problem, isolating the quality and intensity of the components within a mixture of several individual unknown odor sources. The network structure is an idealization of olfactory bulb circuitry. The dynamics of synapse change is essential to the computation. The synaptic variables themselves contain information needed by higher processing centers. The use of the same axons to convey intensity information and quality information requires time-coding of information. Covariation defines an individual odor source (object), and this may have a parallel in vision.