area v1 and found that you know it's not as by no means a perfect explanation of visual to everyone but but it matches of unknown so surprisingly well on not all but on many dimensions so that's vision power other input modalities so this is a slide I got from Evan Smith from his PhD thesis work with Michael Ricky so what Evan did was he appoints false coding to audio data and what I've shown here is 20 basis functions learned by sparse coding when trained on natural sounds ok so this is a grid of 5 by 4 you know what 5 by 4 the lower audio