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A robust pattern of neuronal response to outer phenomena in "Vitroid", the hybrid neuro-robot

Rat hippocampal neurons reorganized a complex networks on microelectrodes array dish. The living neuronal network can distinguish patterns of action potentials evoked by different inputs, suggesting that a cultured neuronal network can represent particular states as symbols. A neuro-robot-hybrid system with living neuronal network and miniature moving robot was developed. We use a Khepera II robot for interfacing with a living neuronal network and the outer world and succeeded in performing collision avoidance behavior with premised control rule sets. Using self-tuning fuzzy reasoning, we associated a distinct spatial pattern of electrical activity with a particular phenomenon in the outside of the culture dish. The particular relationship between network activity and outer phenomenon was performed by control rules of electrical stimulation to the neuronal network, responding to outer phenomenon, while a spatio -temporal patterns of neuronal activity were linked to output devices by premised control rules. We succeeded in performing collision avoidance, and found that fluctuation of neuronal responses evoked by sensor output of robot body was controlled by the interaction between neurons via synapses.