Abstract
Brain activity can be interpreted in terms of dynamic system theory Freeman, Sci Am, 264(2):78–85, 1991 [1], Hoppensteadt, Izhkevich, BioSystem, 48:85–94, 1998 [2], Korn, Faure, C R Biol, 326:787–840, 2003 [3], in particular using models of transient dynamics Rabinovich, Abarbanel, Neuroscience 87(1):5–14, 1998 [4], Kaneko, Tsuda, Complex systems: chaos and beyond. A constructive approach with applications in life sciences. Springer, Berlin, 2001 [5], Steyn-Ross, Steyn-Ross (eds) Modeling phase transitions in the brain, Springer, Berlin, 2010 [6]. Some models utilize encoding in complex cycles and chaotic attractors Aihara et al. Phys Lett A 144:333–340, 1990 [7], Andreyev et al. Int J Bifurc Chaos 6(4):627–646, 1996 [8], Borisyuk, Borisyuk, Biosystems 40(1–2):3–10, 1997 [9]. A hierarchical approach to neural dynamics is formulated as the Freeman K model Freeman, Mass action in the nervous system. Academic, New York, 1975/2004 [10], Freeman, How brains make up their minds. Columia UP, New York, 2001 [11], which is based on studying olfaction, and later generalized to other sensory systems.
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Kozma, R., Freeman, W.J. (2016). Interpretation of Experimental Results As Cortical Phase Transitions. In: Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields. Studies in Systems, Decision and Control, vol 39. Springer, Cham. https://doi.org/10.1007/978-3-319-24406-8_3
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