Title | Untangling invariant object recognition |
Publication Type | Journal Article |
Year of Publication | 2007 |
Authors | DiCarlo, JJ, Cox, DD |
Journal | Trends in Cognitive Sciences |
Volume | 11 |
Issue | 8 |
Pagination | 333 - 341 |
Date Published | 01/2007 |
ISSN | 13646613 |
Abstract | 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 'object tangling' 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. |
URL | https://linkinghub.elsevier.com/retrieve/pii/S1364661307001593 |
DOI | 10.1016/j.tics.2007.06.010 |
Short Title | Trends in Cognitive Sciences |