Abstract
The KIV model is a biologically inspired neural network that can exhibit non-linear electrical brain activity found in the limbic system of the brain. One such behavior exhibited in brain activity is cognitive processing. Spatial patterns of beta-gamma EEG emerged following sudden jumps in cortical activity called “phase transitions”. The interaction between entorhinal cortex (EC), amygdala, and hippocampal and cortical areas in vertebrate brains is studied using the dynamical K model approach. Other biological attributes defined by Freeman et al. [1] are applied to display the biological relevance of the KIV model.
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© 2008 Springer-Verlag Berlin Heidelberg
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Myers, M.H., Kozma, R., Freeman, W.J. (2008). Studies on Synchronization Using KIV Model. In: Wang, R., Shen, E., Gu, F. (eds) Advances in Cognitive Neurodynamics ICCN 2007. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8387-7_37
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DOI: https://doi.org/10.1007/978-1-4020-8387-7_37
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-8386-0
Online ISBN: 978-1-4020-8387-7
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