ABOVE: A series showing the process of neural network-generated image evolution.
PONCE, XIAO AND SCHADE ET AL.
Showing monkeys a series of computer-generated images and simultaneously recording the animals’ brain cell activities enables deep machine learning systems to generate new images that ramp up the cells’ excitation, according to two papers published today (May 2) in Cell and Science.
“It’s exciting because it’s bridging the fields of deep learning and neuroscience . . . to try and understand what is represented in different parts of the brain,” says neuroscientist Andreas Tolias of Baylor College of Medicine who was not involved with either of the studies, but has carried out similar experiments in mice. “I think these methods and their further development could provide a more systematic way for us to open the black box of the brain,” he says.
It’s a goal of sensory neuroscience to understand exactly which stimuli activate ...
