Topic: self-supervised neural networks

Life can be easier if one knows the structure of the world, for instance, that a distant roar, a whiff of a heavy musky smell, and black stripes on orange background are caused by a single physical entity. Indeed, the question how such structures can be discovered by the neural networks of the brain has challenged neuroscientists for many decades. A key constraint is that central nervous systems must learn about the structure of the world from observing correlations within continuous streams of spikes that arrive from their sensory peripheries. Recently, a novel family of unsupervised spiking