Skip to main content

Evolutionary constraints in brain network organization

Primary Investigators:
Mikail Rubinov
Brief Description of Project:
The architecture of brain networks evolved through gradual and often haphazard interactions between selective pressures, and evolutionary and developmental constraints.

The project will seek to delineate some of these constraints and their relationship to specific brain-network phenotypes in neuroimaging datasets.

Desired Qualifications:
We are looking for students who have a strong quantitative background, good programming skills (preferably in Matlab and/or Python), and an interest in neuroscience and/or biological evolution.
Nature of Supervision:
Day-to-day supervision will be shared between the PI and a postdoc.
A Brief Research Plan (period is for 10 weeks):
Week 1-4: Familiarization with literature on network-neuroscience models and their evolutionary underpinnings.
Week 2-6: Familiarization with neuroimaging and biological datasets to be used in subsequent analyses.
Week 4-10: Detection of evolutionary constraints in neuroimaging and biological datasets.
Week 8-10: Write up of results in a technical report. 

Number of Open Slots: 2
Contact Information:
Name: Mikail Rubinov
Department: Biomedical Engineering