OTHER
Discrete Event System Modeling of Neuromorphic Circuits
Koen Scheres, Rodolphe Sepulchre
- Year
- 2025
- Access
- Open access
Abstract
Excitable neuromorphic circuits are physical models of event behaviors: their continuous-time trajectories consist of sequences of discrete events. This paper explores the possibility of extracting a discrete-event model out of the physical continuous-time model. We discuss the potential of this methodology for analysis and design of neuromorphic control systems.
Keywords
eess.SYmath.DS
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
OTHER
Open access📊 20,501 cites
Fractional Differential Equations
Igor Podlubný
2025
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
OTHER
📊 13,277 cites
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992