One of the hardest problems in neurotechnology is not simply connecting electronics to the brain. It is making the brain understand the signal.

Northwestern engineers have taken an important step in that direction by creating printed artificial neurons: flexible electronic devices that imitate part of how real neurons behave. They are not living cells, but they can produce spike-like electrical patterns similar to the ones neurons use to communicate.

That distinction matters. The brain does not respond to just “electricity” in general. Neurons communicate through signals with specific shapes, durations and rhythms. These printed devices were able to generate single spikes, repeated firing and bursting patterns. When researchers tested those signals on slices of mouse brain tissue, living neurons responded. In other words, the artificial signal was close enough to a real one for living neural circuits to recognize it.

The most obvious use case is medicine. If electronics can communicate with nervous tissue in a more natural electrical language, brain-machine interfaces and neuroprosthetics could become more precise. The researchers specifically mention possible implants for hearing, vision and movement.

The second direction is computing. Modern AI is becoming larger and more energy-hungry, while the brain remains far more efficient than digital computers. Northwestern frames this work as a step toward brain-like hardware that could process complex information with much lower power use.

This approach also offers significant environmental benefits. Beyond gains in energy efficiency, the fabrication process is both simple and cost-effective. Ultimately, the potential applications for these artificial neurons clearly extend far beyond just these two fields.