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

Robert Kozma, Mark Myers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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 Hubert 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 EEG signals.

Original languageEnglish (US)
Title of host publicationProceedings of the International Joint Conference on Neural Networks, IJCNN 2005
Pages125-130
Number of pages6
DOIs
StatePublished - Dec 1 2005
Externally publishedYes
EventInternational Joint Conference on Neural Networks, IJCNN 2005 - Montreal, QC, Canada
Duration: Jul 31 2005Aug 4 2005

Publication series

NameProceedings of the International Joint Conference on Neural Networks
Volume1

Other

OtherInternational Joint Conference on Neural Networks, IJCNN 2005
CountryCanada
CityMontreal, QC
Period7/31/058/4/05

Fingerprint

Navigation
Phase transitions
Autonomous agents
Amplitude modulation
Mobile agents
Electroencephalography
Decision making
Neural networks

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence

Cite this

Kozma, R., & Myers, M. (2005). Analysis of phase transitions in KIV with amygdala during simulated navigation control. In Proceedings of the International Joint Conference on Neural Networks, IJCNN 2005 (pp. 125-130). [1555817] (Proceedings of the International Joint Conference on Neural Networks; Vol. 1). https://doi.org/10.1109/IJCNN.2005.1555817

Analysis of phase transitions in KIV with amygdala during simulated navigation control. / Kozma, Robert; Myers, Mark.

Proceedings of the International Joint Conference on Neural Networks, IJCNN 2005. 2005. p. 125-130 1555817 (Proceedings of the International Joint Conference on Neural Networks; Vol. 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kozma, R & Myers, M 2005, Analysis of phase transitions in KIV with amygdala during simulated navigation control. in Proceedings of the International Joint Conference on Neural Networks, IJCNN 2005., 1555817, Proceedings of the International Joint Conference on Neural Networks, vol. 1, pp. 125-130, International Joint Conference on Neural Networks, IJCNN 2005, Montreal, QC, Canada, 7/31/05. https://doi.org/10.1109/IJCNN.2005.1555817
Kozma R, Myers M. Analysis of phase transitions in KIV with amygdala during simulated navigation control. In Proceedings of the International Joint Conference on Neural Networks, IJCNN 2005. 2005. p. 125-130. 1555817. (Proceedings of the International Joint Conference on Neural Networks). https://doi.org/10.1109/IJCNN.2005.1555817
Kozma, Robert ; Myers, Mark. / Analysis of phase transitions in KIV with amygdala during simulated navigation control. Proceedings of the International Joint Conference on Neural Networks, IJCNN 2005. 2005. pp. 125-130 (Proceedings of the International Joint Conference on Neural Networks).
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