Since the added noise is not just noise, but especially engineered perturbations to maximally activate the output neurons for a certain class -- if you want to

Since the added noise is not just noise, but especially engineered perturbations to maximally activate the output neurons for a certain class -- if you want to draw a comparison to humans, one could look at the hyperstimulus/supernormal stimulus. https://en.wikipedia.org/wiki/Supernormal_stimulus https://en.wikipedia.org/wiki/Supernormal_stimulus Vilayanur S. Ramachandran proposes that the hyperstimulus is responsible for exaggerated forms in (primitive) art, so to maximally stimulate our brain: https://www.youtube.com/watch?v=7ZTvHqM-_jE https://www.youtube.com/watch?v=7ZTvHqM-_jE Further to fringe, this sci-fi short story about deviously crafted basilisk images that crash the human brain: http://www.infinityplus.co.uk/stories/blit.htm http://www.infinityplus.co.uk/stories/blit.htm > This first example of the Berryman Logical Image Technique (hence the usual acronym BLIT) evolved from AI work at the Cambridge IV supercomputer facility, now discontinued. V.Berryman and C.M.Turner hypothesized that pattern-recognition programs of sufficient complexity might be vulnerable to "Gödelian shock input" in the form of data incompatible with internal representation. Berryman went further and suggested that the existence of such a potential input was a logical necessity.