Neuroscience Seminar Series with Flaviano Morone

  • Title: Symmetries of Biological Systems
  • Speaker: Flaviano Morone, Research Assistant Professor
  • Lab/ Affiliation: Levich Institute and Department of Physics, City College of New York
  • Abstract: The structure of a biological system is tightly linked to its function. At the smallest scales of biological organization, the structure of a molecule determines its function within a cell. Similarly, at a larger scale, the structure of a cell is also directly connected to its function within a living organism. Understanding how structure determines function is a fundamental problem in Biology, but the relationship between them is, in general, anything but simple. One of the main difficulty to unravel this relationship comes from the analysis of data sets that are so voluminous and complex that traditional data analytics methods are often inadequate to extract value from them.

    Here, I propose a transformative computational modeling of complex biological systems to systematically classify the elementary building blocks of a living organism and predict function and dynamics from the structural symmetries of connectomes, genetic and metabolic networks underlying biological systems.

    These symmetry principles provide a unified description of the laws of biology since they summarize the regularities of these laws that are independent of the specific dynamics. In particular, I show how the synchronization, periodicity, and invariance displayed by the neural and genetic dynamics of simple organisms can be predicted by specific symmetry principles. Seen on a global scale of biological organization, the same symmetry principles may also help to understand the mechanism whereby segregated biological modules integrate within the body of a multicellular organism.

  • Start Date: 3/26/2018
  • Time: 11:00 AM - 12:00 PM
  • College: Advanced Science Research Center, GC/CUNY
  • Address: 85 St. Nicholas Terrace, Manhattan
  • Room: Auditorium
  • Phone: 212.413.3185
  • Website:
  • Admission: Free