Dynamics of brain networks for optimised energy distribution

Background

Every single moments of our lives we solicit brain which in turn, consumes much of the energy we possess. However, given that we have limited resource, our brain would supposedly need to distribute resources across its regions in an optimised way. Now, the aim of this project is to study its optimised distribution across situations (e.g tasks / rest / film) considering multiple optimisation schemes derived from Fractional Programming.

Project description

This is a semester project/lab immersion. It is predominantly computational but require basic understanding of neuroscience or motivation to learn.

Requirements    

  • The applicants are expected to have good skills in programming. Python is preferred.
  • A plus if applicant can travel to Geneva 1 day per week.

Please contact Alex Cionca & Michael Chan (alexandre.cionca@epfl.ch & chunheimichael.chan@epfl.ch) with your CV and we’ll get back to you with more details about this project.

References

Shen, Kaiming, and Wei Yu. “Fractional programming for communication systems—Part I: Power control and beamforming.” IEEE Transactions on Signal Processing 66.10 (2018): 2616-2630.