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Using an evolutionary algorithm to determine the parameters of a biologically inspired model of head direction cells

机译:使用进化算法确定头部方向细胞生物学启发模型的参数

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摘要

A biologically inspired model of head direc tion cells is presented and tested on a small mobile robot. Head direction cells (discovered in the brain of rats in 1984) encode the head orientation of their host irrespective of the host's location in the environment. The head direction system thus acts as a biological compass (though not a magnetic one) for its host. Head direction cells are influenced in different ways by idio thetic (host-centred) and allothetic (not host-centred) cues. The model presented here uses the visual, vestibu lar and kinesthetic inputs that are simulated by robot sensors. Real robot-sensor data has been used in order to train the model's artificial neural network connec tions. The main contribution of this paper lies in the use of an evolutionary algorithm in order to determine the values of parameters that determine the behaviour of the model. More importantly, the objective function of the evolutionary strategy used takes into consideration quantitative biological observations reported in the literature.
机译:提出了一种由生物学启发的头部方向细胞模型,并在小型移动机器人上进行了测试。头部方向细胞(1984年在大鼠的大脑中发现)编码宿主的头部方向,而与宿主在环境中的位置无关。头部方向系统因此充当其主机的生物指南针(尽管不是磁性的)。头部方向细胞会受到特质(以宿主为中心)和异肌(非以宿主为中心)线索的不同影响。此处介绍的模型使用由机器人传感器模拟的视觉,前庭和动觉输入。实际的机器人传感器数据已用于训练模型的人工神经网络连接。本文的主要贡献在于使用进化算法来确定确定模型行为的参数值。更重要的是,所使用的进化策略的目标功能考虑了文献中报道的定量生物学观察。

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