Scientists used a compact AI model to predict how visual cortex neurons respond to images, revealing hidden patterns in ...

The bacteria Geobacter sulfurreducens came from humble beginnings; it was first isolated from dirt in a ditch in Norman, Oklahoma. But now, the surprisingly remarkable microbes are the key to the ...

For more than eighty years, deep learning has relied on a simplified model of brain function. The 1943 McCulloch-Pitts model of the neuron fueled breakthroughs in image recognition, speech synthesis ...

Artificial neurons modeled on biology learn independently, self-organizing and adapting based on information from their local network environment. (Nanowerk News) Novel artificial neurons learn ...

Most people wouldn’t give Geobacter sulfurreducens a second look. The bacteria was first discovered in a ditch in rural Oklahoma. But the lowly microbe has a superpower. It grows protein nanotubes ...

Built of low-powered protein nanowires, made from bacteria, these neurons open the door to vastly more efficient, bio-inspired computers AMHERST, Mass. — A team of engineers at the University of ...

Living neurons receive signals from different sources, process them and pass an output signal on to other neurons (left). In the artificial neuron model, this information processing can be described ...