Revisiting the functional anatomy of the human brain Toward a meta-networking theory of cerebral functions

Recent findings are reviewed which invalidated the classical localizationist view in which each function was associated a specific discrete cortical area and give evidence that the different functions arise from the spatiotemporal integration of distributed but relatively specialized networks.

This have the relation in that with the spatiotemporal integration electric and magnetic fields configuration in those regions are also changed, or indeed those changes may be the reason for the different activation rhythms.

This is in accordance with an electromagnetic mind that as pointed out elsewhere appear to function as a nested electromagnetic system in multicellular organisms [1]. Or the evidence that electromagnetic fields in brain allow the integration and assemblage of the different kind of networks (neural networks, glial, extracellular molecular, and fluid channels networks) [2].

It is also in accordance with the fundamental idea proposed in this website that as more complex electromagnetic fields or as more layers of them are working in an area this area becomes a more "independent consciousnes" with some functionality.

As is put in one of the principal studies linked in this web in relation to all that:

" The driving principle of computing is synchronization and de-synchronization of network paths, the system drives towards highest density of coupled arguments for maximum matching. Memory is located at all layers of the hardware. Learning, computing occurs everywhere simultaneously. Since resonance chain connects all computing seeds, wireless processing is feasible without a screening effect. The computing power is increased by maximizing the density of resonance states and bandwidth of the resonance chain together. We discovered this remarkable computing while studying the human brain, so we present a new model of the human brain in terms of an experimentally determined resonance chain with bandwidth 10−15 Hz (complete brain with all sensors) to 10+15 Hz (DNA) ..." {Credits 1}

[1] Patirniche, Dinu. (2018). Dynamic Aspects of Finite Architectures. 10.13140/RG.2.2.20815.79527.

[2] Agnati, L. F., Marcoli, M., Maura, G., Woods, A., & Guidolin, D. (2018). The brain as a “hyper-network”: the key role of neural networks as main producers of the integrated brain actions especially via the “broadcasted” neuroconnectomics. Journal of Neural Transmission, 125(6), 883-897.

{Credits 1} 🎪 Ghosh, S.; Aswani, K.; Singh, S.; Sahu, S.; Fujita, D.; Bandyopadhyay, A. Design and Construction of a Brain-Like Computer: A New Class of Frequency-Fractal Computing Using Wireless Communication in a Supramolecular Organic, Inorganic System. Information 2014, 5, 28-100. © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution License.

Last modified on 02-Mar-20

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