Browsing: neural networks

MIT neuroscientists have discovered that computer models of hearing and vision can build their own idiosyncratic “invariants” — meaning they respond the same way to stimuli with very different features.

Human sensory systems are very good at recognizing objects we see or words we hear, even if the object is upside down or the word is spoken by a voice we’ve never heard.