Literature DB >> 20028221

A model of indispensability of a large glial layer in cerebrovascular circulation.

Rohit Gandrakota1, V S Chakravarthy, Ranjan K Pradhan.   

Abstract

We formulate the problem of oxygen delivery to neural tissue as a problem of association. Input to a pool of neurons in one brain area must be matched in space and time with metabolic inputs from the vascular network via the glial network. We thus have a model in which neural, glial, and vascular layers are connected bidirectionally, in that order. Connections between neuro-glial and glial-vascular stages are trained by an unsupervised learning mechanism such that input to the neural layer is sustained by the precisely patterned delivery of metabolic inputs from the vascular layer via the glial layer. Simulations show that the capacity of such a system to sustain patterns is weak when the glial layer is absent. Capacity is higher when a glial layer is present and increases with the layer size. The proposed formulation of neurovascular interactions raises many intriguing questions about the role of glial cells in cerebral circulation.

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Year:  2010        PMID: 20028221     DOI: 10.1162/neco.2009.01-09-945

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  3 in total

1.  A Computational Model of Loss of Dopaminergic Cells in Parkinson's Disease Due to Glutamate-Induced Excitotoxicity.

Authors:  Vignayanandam Ravindernath Muddapu; Alekhya Mandali; V Srinivasa Chakravarthy; Srikanth Ramaswamy
Journal:  Front Neural Circuits       Date:  2019-02-25       Impact factor: 3.492

2.  Artificial neurovascular network (ANVN) to study the accuracy vs. efficiency trade-off in an energy dependent neural network.

Authors:  Bhadra S Kumar; Nagavarshini Mayakkannan; N Sowmya Manojna; V Srinivasa Chakravarthy
Journal:  Sci Rep       Date:  2021-07-05       Impact factor: 4.996

3.  A computational model of neuro-glio-vascular loop interactions.

Authors:  Bankim Subhash Chander; V Srinivasa Chakravarthy
Journal:  PLoS One       Date:  2012-11-20       Impact factor: 3.240

  3 in total

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