Stability estimation of PFM-type pulsed neural networks |
| |
| Authors: | T Todo T Mori Y Kuroe |
| |
| Affiliation: | 1. Department of Electronics and Information Science , Kyoto Institute of Technology , Matsugasaki, Sakyoku, Kyoto 606-85 85, Japan todo3t@ics.dj.kit.ac.jp;3. Department of Electronics and Information Science , Kyoto Institute of Technology , Matsugasaki, Sakyoku, Kyoto 606-85 85, Japan |
| |
| Abstract: | This study aims at development of practical stability estimation method for PFM-type pulsed neural networks. We already derived a graphical analysis method for a single-unit PFM-type neural network. In this paper, we extend this method so that it can deal with stability estimation of networks with multi-unit PFM-type pulsed neurons by using the concept of Generalised Nyquist Stability Criterion. We also illustrate numerical examples that show the extended method is not excessively conservative but still effectively estimates the non-existence of limit cycles. |
| |
| Keywords: | Stability estimation PFM Pulsed neural networks |
|
|
