Abstract
In this paper, we report on pattern formation occurring on the ACE16k CNN chip. The CNN chip can be programmed with a cloning template in order to generate spiral waves and autowaves. The waves diffract from internal sources which cannot be relocated on the network. However, by using initial and/or input images, sources (external sources) can be located at any place on the network. Furthermore a competition between autowaves generated by external and internal sources is observed. Propagation of autowaves on the inhomogeneous CNN array, formed by the fixed-state map, is presented.
| Original language | English |
|---|---|
| Pages (from-to) | 1537-1546 |
| Number of pages | 10 |
| Journal | International Journal of Bifurcation and Chaos |
| Volume | 16 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - May 2006 |
Funding
This research work was carried out at the ESAT laboratory and the Interdisciplinary Center of Neural Networks ICNN of the Katholieke Universiteit Leu-ven, in the framework of the Belgian Programme on Interuniversity Poles of Attraction, initiated by the Belgian State, Prime Minister’s Office for Science, Technology and Culture (IUAP P4-02, IUAP P4-24, IUAP-V), the Concerted Action Project MEFISTO of the Flemish Community and the FWO project G.0080.01 Collective Behavior and Optimization: an Interdisciplinary Approach. Moreover, this work was supported by Istanbul Technical University.
| Funders | Funder number |
|---|---|
| Istanbul Teknik Üniversitesi |
Keywords
- Autowaves
- Cellular neural networks
- CNN-UM
- Spatiotemporal pattern formation
- Spiral waves