Recent Progress on Signal Integrity Modeling of Neuromorphic Chips by the PEEC Method

With the rapid advances of artificial intelligence and its applications, the design of memristor-based neuromorphic chips inspired by the human brain has become an important area of research. Signal integrity issues, such as crosstalk and IR drop, affect the performance of these chips and necessitate the use of signal integrity modeling and analysis methods during the early stages of chips design. In this mini review, we summarize recent progress on the application of the Partial Element Equivalent Circuit (PEEC) method to the signal integrity modeling of neuromorphic chips.