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- W1605830946 abstract "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." @default.
- W1605830946 created "2016-06-24" @default.
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- W1605830946 date "2006-01-05" @default.
- W1605830946 modified "2023-10-06" @default.
- W1605830946 title "Analysis of phase transitions in KIV with amygdala during simulated navigation control" @default.
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- W1605830946 doi "https://doi.org/10.1109/ijcnn.2005.1555817" @default.
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