| Title: | GS9-3 Neuromorphic Robot Dream: A Spike Based Reasoning System |
|---|---|
| Publication: | ICAROB2017 |
| Volume: | 22 |
| Pages: | 334-337 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2017.GS9-3 |
| Author(s): | Alexander Toschev, Max Talanov, Alexander Tchitchigin, Salvatore Distefano |
| Publication Date: | January 19, 2017 |
| Keywords: | artificial intelligence, robotics, spikes, neurobiology, reasoning, logic |
| Abstract: | In this position paper we propose the approach to create a reasoning system starting from brain spikes as main information medium to control a (quasi) real-time robotic system. Based on the robot dream architecture, the robot input in form of spike stimulus is provided to a simulated spiking neural network, then elaborated and fed back to the robot as specific rules. The reasoning rule-based system for intelligent spike processing transforming signals into software actions or hardware signals is thus specified. |
| PDF File: | https://alife-robotics.co.jp/members2017/icarob/data/html/data/GS_pdf/GS9/GS9-3.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/ |
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