An analytic derivation of the variance for the Abelian distribution
Anirban Das
TL;DR
This paper analytically derives the variance of the Abelian distribution, revealing new properties of its moments that are relevant for models of neural avalanches.
Contribution
It provides the first analytical derivation of the variance for the Abelian distribution and explores its properties in the context of neural avalanche models.
Findings
New properties of the moments of the Abelian distribution
Analytical expression for the variance
Potential applications in neural avalanche modeling
Abstract
The Abelian distribution has been studied recently in models for neural avalanches. This paper uncovers new properties about the moments of the distribution, ways in which these properties can be useful are indicated.
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Taxonomy
TopicsNeural dynamics and brain function · Diffusion and Search Dynamics · stochastic dynamics and bifurcation