Proceedings of the Fuzzy System Symposium
24th Fuzzy System Symposium
Session ID : WD2-2
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In vitro learning in neuro-robot system.
*Suguru N. KudohMinori TokudaAi KiyoharaTakahisa TaguchiIsao Hayashi
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Abstract
Rat hippocampal neurons were cultured on a dish with 64 micro planer electrodes. A complex network of neurons was formed and the network was able to distinguish patterns of action potentials evoked by different electrical current inputs. We integrated a living neuronal network and a Khepera II robot or robot made by LEGO mindstorm NX kit as a body for contacting to outside world. Using self-tuning fuzzy reasoning, we associated a distinct spatial pattern of evoked action potentials with a particular phenomenon in the outside of the culture dish. We succeeded in performing collision avoidance behaviour with premised control rule sets. During collision avoidance, the responding pattern of evoked action potentials was stable and robust against perturbation to spontaneous network activity. These results suggest that a cultured neuronal network can represent particular states as symbols corresponding to outside world.
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© 2008 Japan Society for Fuzzy Theory and Intelligent Informatics
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