Researchers make “neuromorphic” artificial skin for robots
The nervous system does an astonishing job of tracking sensory information, and does so using signals that would drive many computer scientists insane: a noisy stream of activity spikes that may be transmitted to hundreds of additional neurons, where they are integrated with similar spike trains coming from still other neurons.
Now, researchers have used spiking circuitry to build an artificial robotic skin, adopting some of the principles of how signals from our sensory neurons are transmitted and integrated. While the system relies on a few decidedly not-neural features, it has the advantage that we have chips that can run neural networks using spiking signals, which would allow this system to integrate smoothly with some energy-efficient hardware to run AI-based control software.
Location via spikes
The nervous system in our skin is remarkably complex. It has specialized sensors for different sensations: heat, cold, pressure, pain, and more. In most areas of the body, these feed into the spinal column, where some preliminary processing takes place, allowing reflex reactions to be triggered without even involving the brain. But signals do make their way along specialized neurons into the brain, allowing further processing and (potentially) conscious awareness.