@article {79,
	title = {Untangling invariant object recognition},
	journal = {Trends in Cognitive Sciences},
	volume = {11},
	year = {2007},
	month = {01/2007},
	pages = {333 - 341},
	abstract = {<p>Despite tremendous variation in the appearance of visual objects, primates can recognize a multitude of objects, each in a fraction of a second, with no apparent effort. However, the brain mechanisms that enable this fundamental ability are not understood. Drawing on ideas from neurophysiology and computation, we present a graphical perspective on the key computational challenges of object recognition, and argue that the format of neuronal population representation and a property that we term \&$\#$39;object tangling\&$\#$39; are central. We use this perspective to show that the primate ventral visual processing stream achieves a particularly effective solution in which single-neuron invariance is not the goal. Finally, we speculate on the key neuronal mechanisms that could enable this solution, which, if understood, would have far-reaching implications for cognitive neuroscience.</p>
},
	issn = {13646613},
	doi = {10.1016/j.tics.2007.06.010},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S1364661307001593},
	author = {DiCarlo, James J. and Cox, David D.}
}
