Researchers from Tohoku University and Future University Hakodate in Japan have successfully trained cultured rat cortical neurons to perform real-time machine learning computations. By integrating living neurons with microelectrode arrays and microfluidic devices, the team created a closed-loop reservoir computing system capable of autonomously generating complex signals, such as sine waves and chaotic waveforms, without external input. The study utilized PDMS microfluidic films to constrain neural connections, preventing the excessive synchronization that typically hinders learning in unpatterned cultures. This breakthrough demonstrates that living neuronal networks can serve as novel computational resources, potentially paving the way for significant advancements in the development of sophisticated brain-machine interfaces and neuroprosthetic devices.
