Extracting Social Information from Chemosensory Cues: Consideration of Several Scenarios and Their Functional Implications
Extracting Social Information from Chemosensory Cues: Consideration of Several Scenarios and Their Functional Implications
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DOI：
10.3389/fnins.2015.00439
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发表时间：
2015-11-20
影响因子：
4.3
通讯作者：
Ben-Shaul, Yoram
中科院分区：
文献类型：
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作者：
Ben-Shaul, Yoram
在所有的感觉形态中，刺激可以沿着沿着多个维度变化。有效地提取信息需要对那些提供行为相关信息的刺激维度敏感。为了从化学感觉线索中获得社会信息，感觉系统必须嵌入有关个体行为相关特征与提供这些特征信息的化学线索分布之间关系的信息。在简单的情况下，仅仅一种特定化合物的存在就足以指导适当的行为。然而，更一般地，化学感觉信息是通过多种化学线索的相对水平以非平凡的方式传达的。从多分子刺激中获得信息所需的计算和网络与单分子线索所需的计算和网络不同。我们目前关于社会相关信息如何被化学混合物编码，以及它如何被化学感觉系统提取的知识非常有限。这份手稿探讨了几个场景和识别它们所需的神经元计算。
Across all sensory modalities, stimuli can vary along multiple dimensions. Efficient extraction of information requires sensitivity to those stimulus dimensions that provide behaviorally relevant information. To derive social information from chemosensory cues, sensory systems must embed information about the relationships between behaviorally relevant traits of individuals and the distributions of the chemical cues that are informative about these traits. In simple cases, the mere presence of one particular compound is sufficient to guide appropriate behavior. However, more generally, chemosensory information is conveyed via relative levels of multiple chemical cues, in non-trivial ways. The computations and networks needed to derive information from multi-molecule stimuli are distinct from those required by single molecule cues. Our current knowledge about how socially relevant information is encoded by chemical blends, and how it is extracted by chemosensory systems is very limited. This manuscript explores several scenarios and the neuronal computations required to identify them.