Deep Learning and Spike Time Dependent Plasticity

Neuroscientists have been skeptical about whether the brain can do anything like back propagation. The idea is that you represent an error by the rate of change in neural activity. And how spike time depended on plasticity and contrast of learning may be the direction that deep learning researchers need to explore, he says. But it also suggests a learning algorithm for the brain that is somewhat different from backpropation.