A simple generative model of the mouse mesoscale connectome

Area of Science:

• Neuroscience
• Computational Biology
• Systems Biology

Background:

• Technological advances enable large-scale neural connectivity data collection.
• The mouse mesoscale connectome is crucial for understanding brain organization.

Purpose of the Study:

• To characterize the mouse mesoscale connectome.
• To propose a generative network model for brain connectivity.

Main Methods:

• In-depth characterization of the mouse mesoscale connectome data from Oh et al. (2014).
• Development of a generative network model based on proximal attachment and source growth principles.

Main Results:

• The proposed model successfully captures key principles of mesoscale mouse brain network organization.
• The model's principles align with biologically plausible developmental processes.

Conclusions:

• The generative network model provides insights into the organizational principles of the mouse brain connectome.
• This work contributes to understanding brain development and network formation.