This talk introduces the mathematical methods of Babylonian astronomy in the Seleucid era (c. 300 BCE) including cyclic networks of regime-switched piecewise linear iterated maps. These ancient methods foreshadow modern approaches to chaotic dynamic systems and may be related to periodic recurrent neural networks with piecewise linear activation functions.
Speaker(s): Immanuel
Virtual: https://events.vtools.ieee.org/m/385680