| Title: | GS9-2 Memristive neuron integration in digital robotic embodiment |
|---|---|
| Publication: | ICAROB2018 |
| Volume: | 23 |
| Pages: | 200-203 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2018.GS9-2 |
| Author(s): | Max Talanov, Evgenii Zykov, Yuriy Gerasimov, Evgeni Magid, Aleksander Elizarov |
| Publication Date: | February 2, 2018 |
| Keywords: | artificial intelligence, robotics, spiking neural network, memristors |
| Abstract: | In the current paper, we introduce a high-level approach for an integration of a neuromorphic memristive neuron in a real-time operating robotic system. The memristive neuron schematic, which we had presented in our earlier works, is capable of inhibitory and excitatory learning (eSTDP, iSTDP) as well as modulation via dopamine input. We discuss a possibility of integration of the analog memristive neuron into a digital robotic embodiment and present block diagram of an adapter that includes pseudo-neuronal encoder and decoder. |
| PDF File: | https://alife-robotics.co.jp/members2018/icarob/data/html/data/GS_pdf/GS9/GS9-2.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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