Cleland Thomas A, Linster Christiane
Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853, USA.
Chem Senses. 2005 Nov;30(9):801-13. doi: 10.1093/chemse/bji072. Epub 2005 Nov 2.
Computational models are increasingly essential to systems neuroscience. Models serve as proofs of concept, tests of sufficiency, and as quantitative embodiments of working hypotheses and are important tools for understanding and interpreting complex data sets. In the olfactory system, models have played a particularly prominent role in framing contemporary theories and presenting novel hypotheses, a role that will only grow as the complexity and intricacy of experimental data continue to increase. This review will attempt to provide a comprehensive, functional overview of computational ideas in olfaction and outline a computational framework for olfactory processing based on the insights provided by these diverse models and their supporting data.
计算模型对系统神经科学越来越重要。模型可作为概念验证、充分性测试以及工作假设的定量体现，是理解和解释复杂数据集的重要工具。在嗅觉系统中，模型在构建当代理论和提出新假设方面发挥了特别突出的作用，随着实验数据的复杂性和精细度不断增加，这一作用只会愈发凸显。本综述将尝试对嗅觉方面的计算思想进行全面的功能概述，并基于这些不同模型及其支持数据所提供的见解，概述一个嗅觉处理的计算框架。
