Abstract
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.
