Eli Shlizerman
Data driven Dynamical Systems

Eli Shlizerman

 Assistant Professor
Office:Lewis Hall, 230D
Phone:206 543 6658
Fax:206 685 1440
My research combines dynamical systems theory with data analysis to produce realistic data-driven dynamical models.

Investigations are at the interface of development of generic computational approaches and modeling actual biological and physical systems.

With the data-driven methodology I am working on modeling neurobiological networks underlying insects' sensory systems and neural dynamics of simple organisms.


C. Elegans Low Dim Dynamics

Olfactory Neural Codes

Firing Rates in RQIF
Research Highlights:

YouTube Video on Dynamics of Neural Codes

  • AMATH Newsletter