Living brain cells enable machine learning computations
The team used FORCE learning and microfluidic devices to train cultured rat neurons to generate sine, square and chaotic signals.
3 Articles
3 Articles
Biological neural networks may serve as viable alternatives to machine learning models
A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously carried out by artificial systems.
Living brain cells enable machine learning computations
A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously carried out by artificial systems. By integrating cultured neuronal networks into a machine learning framework, the team showed that these biological systems can generate complex time-series signals, marking a significant step forward in both neuroscie…
Wetware AI: Living Brain Cells Trained to Run Chaos Math
Researchers have successfully trained living biological neurons to perform complex machine learning tasks. By using microfluidic devices and "FORCE learning," the team demonstrated that rat brain cells can generate chaotic mathematical patterns, marking a breakthrough in bio-inspired computing.
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