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内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Univ Calif San Diego Inst Nonlinear Sci La Jolla CA 92093 USA Univ Calif San Diego Scripps Inst Oceanog Dept Phys La Jolla CA 93093 USA Univ Calif San Diego Scripps Inst Oceanog Marine Phys Lab La Jolla CA 93093 USA
出 版 物:《BIOLOGICAL CYBERNETICS》 (生物控制论)
年 卷 期:2005年第93卷第6期
页 面:436-446页
核心收录:
学科分类:0710[理学-生物学] 1001[医学-基础医学(可授医学、理学学位)] 07[理学] 09[农学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:National Science Foundation, NSF, (0130708, 0097134) National Science Foundation, NSF
主 题:olfaction pattern recognition synaptic convergence information coding fan-in fan-out
摘 要:We show in a model of spiking neurons that synaptic plasticity in the mushroom bodies in combination with the general fan-in, fan-out properties of the early processing layers of the olfactory system might be sufficient to account for its efficient recognition of odors. For a large variety of initial conditions the model system consistently finds a working solution without any fine-tuning, and is, therefore, inherently robust. We demonstrate that gain control through the known feedforward inhibition of lateral horn interneurons increases the capacity of the system but is not essential for its general function. We also predict an upper limit for the number of odor classes Drosophila can discriminate based on the number and connectivity of its olfactory neurons.