Thomas Vojta

The paper models serotonergic fiber organization in the Pacific angelshark brain using supercomputing simulations of fractional Brownian motion, showing stochastic processes can reproduce observed fiber density patterns.

The paper uses a supercomputing simulation of fractional Brownian motion to predict serotonergic axon distribution in a 3D mouse brain model, showing qualitative similarity to actual densities.

The paper models serotonergic axon distributions using reflected Fractional Brownian Motion and shows it approximates real brain fiber densities.