#computational-neuroscience

#computational-neuroscience

The researchers at Eon Systems have taken several pre-existing components: a fruit fly brain scan, a tool for modelling neurons, a model of some of the fly's muscles and body, and a very simple virtual environment, connected them together and ran it. The team claims that the result displays some of the behavior of the real insect.

There was a group of neurons that predicted the wrong answer, yet they kept getting stronger as the model learned. So we went back to the original macaque data, and the same signal was there, hiding in plain sight. It wasn't a quirk of the model - the monkeys' brains were doing it too. Even as their performance improved, both the real and simulated brains maintained a reserve of neurons that continued to predict the incorrect answer.