PNAS

MIT study: can neural networks build their own learning machinery?

MIT researchers argue in PNAS that a key metric of a neural network's biological plausibility is its ability to self-organize without a developer. They show randomly connected units can reshape into an effective network using simple rules for connection changes, but caution such designs may offer limited insight into brain learning.