Biological neurons are masters of survival.
They regulate calcium levels, repair damaged connections, and adapt to changing environments—all while keeping the system stable for decades.
But artificial neurons? They burn out, destabilize, and need constant human babysitting (dropout, normalization, early stopping).
In our latest study, we asked:
What if artificial neurons could monitor their own “health” and repair themselves, just like real neurons do?
The result is a new BioLogicalNeuron layer that:
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Tracks internal activity through calcium-inspired signals
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Detects instability before it spreads
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Activates repair strategies (scaling, pruning, reinforcement) automatically
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Adjusts its own learning rate when “unhealthy”
Instead of pushing harder when unstable, the network slows down to recover—a principle borrowed directly from biology.
Full open-access article: https://doi.org/10.1038/s41598-025-09114-8