| Title: | OS17-4 Variants of Spiking Neural P Systems with Energy Control |
|---|---|
| Publication: | ICAROB2017 |
| Volume: | 22 |
| Pages: | 603-606 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2017.OS17-4 |
| Author(s): | Rudolf Freund, Marion Oswald |
| Publication Date: | January 19, 2017 |
| Keywords: | colored spikes, computational completeness, energy control, spiking neural P systems |
| Abstract: | We consider several variants of extended spiking neural P systems (ESNP systems), theoretical frameworks for brain modeling. Special emphasis is laid on ESNPS systems with different colors, and, instead of choosing the rules in the neurons based on the current contents being in a regular set, we also consider the way of choosing the rule to be applied in each neuron consuming the minimal energy. This choice can be accomplished by assigning energy values to each rule or by assigning (different) energy values directly to the colored spikes. |
| PDF File: | https://alife-robotics.co.jp/members2017/icarob/data/html/data/OS_pdf/OS17/OS17-4.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
(c)2008 Copyright The Regents of ALife Robotics Corporation Ltd. All Rights Reserved.