A team at Tohoku University and Future University Hakodate in Japan trained cultured rat cortical neurons to autonomously generate complex temporal signals using a real-time machine learning framework, according to a study published March 12 in the journal Proceedings of the National Academy of Sciences. The researchers integrated the living neurons with high-density microelectrode arrays and microfluidic devices, creating a closed-loop reservoir computing system that learned to produce periodic and chaotic waveforms without any external input.
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