Abstract
This chapter describes various approaches to complexity and entropy in the central nervous system that may explain time and space changes in neural synchronization and coherence. These changes in brain complexity are likely the basis for discrete mental states that, through their differences, enable recognition and awareness of the external and internal world. According to this concept, the image of the world emerges as a consequence of creating order arising from nonlinear activities of large groups of neurons. These highly organized nonlinear processes are a consequence of high system complexity that occurs when the system involves a large number of interlinked and simultaneously active neural assemblies and runs in a desynchronized parallel distributed mode that can lead to self-organization. These levels of complexity and entropy within the brain likely present basic code that enables mental and physical space to be connected and corresponding differences and their recognition in mental and physical space to be defined. This approach provides the possibility of studying “neurogeometry” as a geometrical model of the functional architecture of the brain, which, through neural complexities, can reflect the geometry of the external space in the mental space. Within this context, the solution to the binding problem could principally use similar mathematical approaches to those studied in physics, and also include descriptions of how specific observers “define” reality and create observer-specific geometry of the space, such as in the general theory of relativity and other theoretical concepts in physics that take into account the role of the observer in the physical world.
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Bob, P. (2012). Mind and Space. In: Brain, Mind and Consciousness. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0436-1_6
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