Does Representation of Outer Objects in Living Neuronal Network Synthesize “the concept”?

Cultured living neuronal network with input-output-interface is the useful model to investigate how to autonomously create an internal object. Using living neuronal network cultured on a multielectrodes-array-dish, We elucidated the relationships between activity patterns evoked by inputs to 3 different electrodes. Activity patterns evoked by 3 different inputs were classified into several clusters including patterns evoked by 3 inputs at various ratios. Repeated input in stable temporal pattern led the clusters to fuse into single cluster. These results indicated that the Cultured living neuronal network (CLNN) separates and classifies the input from outer world and distinguished clusters are autonomously formed.