| Title: | OS9-1 Study of real-time biomimetic CPG on FPGA: behavior and evolution |
|---|---|
| Publication: | ICAROB2018 |
| Volume: | 23 |
| Pages: | 461-464 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2018.OS9-1 |
| Author(s): | Timothée Levi, Yanchen Guo, Kazuyuki Aihara, Takashi Kohno |
| Publication Date: | February 2, 2018 |
| Keywords: | Biomimetic neural network, CPG, FPGA, Silicon neuron |
| Abstract: | Locomotion is one of the most basic abilities in animals. Neurobiologists have established that locomotion results from the activity of half-center oscillators that provides alternation of bursts. Central Pattern Generators (CPGs) are neural networks capable of producing rhythmic patterned outputs without rhythmic sensory or central input. We propose a network of several biomimetic CPGs using biomimetic neuron model and synaptic plasticity. This network is implemented on a FPGA (Field Programmable Gate Array). The network implementation architecture operates on a single computation core and in real-time. The real-time implementation of this CPGs network is validated by comparing it with biological data of leech heartbeat neural network. From these biomimetic CPGs, we use them for robotic applications and also for biomedical research to restore lost synaptic connections. |
| PDF File: | https://alife-robotics.co.jp/members2018/icarob/data/html/data/OS_pdf/OS9/OS9-1.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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