Closed-Loop Brain Model of Neocortical Information-Based Exchange

Frontiers in Neuroanatomy
James Kozloski

Abstract

Here we describe an "information-based exchange" model of brain function that ascribes to neocortex, basal ganglia, and thalamus distinct network functions. The model allows us to analyze whole brain system set point measures, such as the rate and heterogeneity of transitions in striatum and neocortex, in the context of neuromodulation and other perturbations. Our closed-loop model is grounded in neuroanatomical observations, proposing a novel "Grand Loop" through neocortex, and invokes different forms of plasticity at specific tissue interfaces and their principle cell synapses to achieve these transitions. By implementing a system for maximum information-based exchange of action potentials between modeled neocortical areas, we observe changes to these measures in simulation. We hypothesize that similar dynamic set points and modulations exist in the brain's resting state activity, and that different modifications to information-based exchange may shift the risk profile of different component tissues, resulting in different neurodegenerative diseases. This model is targeted for further development using IBM's Neural Tissue Simulator, which allows scalable elaboration of networks, tissues, and their neural and synaptic componen...Continue Reading

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Citations

Sep 24, 2019·PLoS Computational Biology·Timothy Rumbell, James Kozloski
Sep 15, 2020·Journal of Animal Physiology and Animal Nutrition·Gabriel Zanuto SakitaAdibe Luiz Abdalla
Aug 12, 2017·Frontiers in Computational Neuroscience·Pengsheng Zheng, James Kozloski
Dec 5, 2017·IBM Journal of Research and Development·S Dura-BernalW W Lytton

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Methods Mentioned

BETA
SMA

Software Mentioned

Infomax
Matlab
Neural Tissue Simulator

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