Earlier models were limited because they used flat cell layers or couldn't fully connect with the neurons.
The Princeton team solved this by making a flexible 3-D scaffold where about 70,000 neurons can grow inside and around metal wires and electrodes coated with a soft, flexible material.
Their device can already recognize simple patterns, a big step toward future technology that blends biology and computing for much smarter systems.