bioRxiv · 10.1101/2022.01.27.477993
Modelling non-local neural information processing in the brain
Abstract
The representation of the surrounding world emerges through integration of sensory information and actions. We present a novel neural model which implements non-local, parallel information processing on a neocolumnar architecture with lateral interconnections. Information is integrated into a holographic wave interference pattern. We compare the simulated in silico pattern with observed in vivo invasive and non-invasive electrophysiological data in human and non-human primates. Our model replicates the modulation of neural high-frequency activity during visual perception showing that phase-locked low and high-frequency oscillations self-organize efficiently and carry high information content. The simulation further models how criticality (high content) of information processing emerges given a sufficiently high number of correlated neurons. Non-local information processing, forming one holographic wave pattern, suggests a platform for emergence of conscious perception. One sentence summarySimulated non-local information processing on a neocolumnar architecture models well multiple electrophysiological observations of brain activity, including high-frequency activity during visual perception in primates.
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Balkenhol, J., Haendel, B., Prada, J., Bosman, C. A., Ehrenreich, H., Grohmann, J., von Kistowski, J., Wojcik, S. M., Kounev, S., Blum, R., Dandekar, T.. 2022-01-29. Modelling non-local neural information processing in the brain. https://doi.org/10.1101/2022.01.27.477993
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