Do brain networks evolve by maximizing their information flow capacity?

Dataset

Description

Dataset for the Publication "Do brain networks evolve by maximizing their information flow capacity?"

numerical simulations to support a working hypothesis that brain networks evolve based on the principle of the maximization of their internal information flow capacity.

1. C.elegans.tar file contains the Fortran source codes, network analysis and spectral plots to reproduce all the plots in the figures of the paper which are related to C.elegans.

2. Humans.tar file contains the Fortran source codes, network analysis and spectral plots to reproduce all the plots in the figures of the paper which are related to the 6 human subjects and the averaged ones.

3. model_for_brain_evolution.tar contains the Fortran source codes, network analysis, spectral distances and spectral plots for the parameter spaces and the spectral distances based on the average parameter spaces for the model of brain evolution of 60 and 120 neurons. These data files have been used to reproduce all plots in the figures of the paper which are related to the model for brain evolution.

4. spectral_plots_study_FINAL_RESULTS.tar contains the spectral plot data for the c.elegans study, for panels q) and r) of Fig. 7, for the humans and for the two cases A and B for the model of brain evolution of 60 neurons.
Date made availableNov 2015
PublisherUniversity of Aberdeen
Temporal coverage2015
Date of data production28 Aug 2015

Cite this

Baptista, M. D. S. (Creator), Antonopoulos, C. (Creator). (Nov 2015): Do brain networks evolve by maximizing their information flow capacity?, University of Aberdeen. C(2.tar), Humans_2(.tar), model_for_brain_evolution_2(.tar), spectral_plots_study_FINAL_RESULTS_2(.tar), readme_PLOS_Comp_Biol(.docx). 10.20392/b880739d-44d1-49b2-89cd-a5724b59015e