Complex periodic behaviour in a neural network model with activity-dependent neurite outgrowth

Journal of Theoretical Biology
Arjen van Ooyen, Jaap van Pelt

Abstract

Empirical studies have demonstrated that electrical activity of the neuron can directly affect neurite outgrowth. High levels of activity cause neurites to retract, whereas low levels allow further outgrowth. Previously we studied networks in which all the cells reacted in the same way on electrical activity. Since experiments have shown that neurons may in fact react differentially, we study in this paper networks in which the range of activity where outgrowth takes place varies among cells. We show that this can lead to complex periodic behaviour in electrical activity and connectivity of individual cells. The precise behaviour depends on the spatial distribution of the cells and the distribution of the outgrowth properties over the cells. Any other cellular property that adapts slowly to electrical activity such that neuronal activity is attempted to be maintained at a given level, can lead to similar results.

References

Nov 13, 2004·IEEE Transactions on Bio-medical Engineering·Jaap van PeltGer J A Ramakers
Jul 26, 2016·Frontiers in Neuroanatomy·Michael Fauth, Christian Tetzlaff
Aug 11, 2016·Journal of Integrative Neuroscience·Fail M Gafarov, V R Gafarova
Jan 6, 2000·The Anatomical Record·Giorgio A Ascoli
Apr 22, 2004·The Journal of Comparative Neurology·Ruggero ScorcioniGiorgio A Ascoli
Jun 12, 2014·Biological cybernetics·Fumitaka Kawasaki, Michael Stiber

Related Concepts

Neural Networks (Anatomic)
Neurons
Periodicity
Neurites

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