A neural network model of the olfactory system of mice: computer simulation of the attention behavior of mice for some components in an odor
A neural network model of the olfactory system of mice: computer simulation of the attention behavior of mice for some components in an odor
复制标题
小鼠嗅觉系统的神经网络模型：计算机模拟小鼠对气味中某些成分的注意行为
作者：
Z. Soh;Michiyo Suzuki;T. Tsuji;N. Takiguchi;H. Ohtake
最近，有人观察到，老鼠只需注意气味中的几种成分，就能识别出它的气味。此外，据报道，每个人都被气味的不同成分所吸引。这种行为被称为“注意”，但其机制尚未完全阐明。本文首先根据嗅觉系统的生物结构，提出了一种新的人工神经网络模型。然后进行了一系列气味识别的计算机模拟，以评估该模型的注意能力。最后，我们改变神经元之间的连接权重来模拟个体差异。模拟结果表明，梨状皮质到嗅球的抑制性联系可能是行为实验中观察到的个体差异的原因。
Recently, it was observed that mice could identify an odor by paying attention to only a few of its components. Further, it has been reported that each individual is attracted to different components of an odor. This behavior is referred to as “attention”; however, its mechanism has yet to be completely elucidated. In this paper, we first propose a novel artificial neural network model based on the biological structure of an olfactory system. Then a series of computer simulations of odorant discrimination are performed to evaluate the attention ability of the proposed model. Finally, we changed the connective weights between the neurons to simulate individual differences. The simulation results indicate that the inhibitory connections from the piriform cortex to the olfactory bulb may contribute to the individual differences observed in the behavioral experiment.
影响因子：
3.5
作者：
Haberly, LB
通讯作者：
Haberly, LB