具有杏仁核的KIV在模拟导航控制中的相变分析

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. Pub Date : 2005-12-27 DOI:10.1109/IJCNN.2005.1555817

R. Kozma, M. Myers

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引用次数: 9

摘要

在这项工作中使用了一种受生物学启发的动态神经网络模型KIV来设计自主代理。KIV组模拟脊椎动物的边缘系统。已有研究表明，KIV能够为自主移动代理提供导航和决策的控制算法。在这项工作中，我们使用希尔伯特变换来捕获KIV中幅度调制的全局同步时空模式。我们确定了模拟杏仁核中的相变，并表明它具有脑电图信号的几个重要特征。

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Analysis of phase transitions in KIV with amygdala during simulated navigation control

A biologically inspired dynamical neural network model called KIV is used in this work to design autonomous agents. The KIV set models the vertebrate limbic system. Previous studies indicated that KIV is able to provide a control algorithm for navigation and decision-making for autonomous mobile agents. In this work we use Hilbert transform to capture global synchronized spatio-temporal patterns of amplitude modulation in KIV. We identify phase transition in the simulated amygdala and show that it shares several important features of EEC signals.

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Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.

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