Literature DB >> 16054420

Learning to tell apples from oranges.

Manfred Fahle1.   

Abstract

Recognizing images requires sorting them into the correct perceptual categories. Without categories, apples could not be discriminated from oranges. A fundamental question is whether categories are innate or learned, and if learned, how well such discriminations generalize. A recent finding by Notman et al. demonstrates that certain categorical discriminations are learned fast but vanish for slightly rotated stimuli. Rather than higher "cognitive" learning, this indicates involvement of "early" mechanisms, which cannot generalize across different stimulus orientations.

Entities:  

Mesh:

Year:  2005        PMID: 16054420     DOI: 10.1016/j.tics.2005.07.005

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  5 in total

1.  The dependence of visual scanning performance on saccade, fixation, and perceptual metrics.

Authors:  Matthew H Phillips; Jay A Edelman
Journal:  Vision Res       Date:  2008-03       Impact factor: 1.886

Review 2.  Improving the performance of the amblyopic visual system.

Authors:  Dennis M Levi; Roger W Li
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-02-12       Impact factor: 6.237

3.  Prentice award lecture 2011: removing the brakes on plasticity in the amblyopic brain.

Authors:  Dennis M Levi
Journal:  Optom Vis Sci       Date:  2012-06       Impact factor: 1.973

4.  New perspectives in amblyopia therapy on adults: a critical role for the excitatory/inhibitory balance.

Authors:  Laura Baroncelli; Lamberto Maffei; Alessandro Sale
Journal:  Front Cell Neurosci       Date:  2011-11-24       Impact factor: 5.505

Review 5.  Perceptual learning as a potential treatment for amblyopia: a mini-review.

Authors:  Dennis M Levi; Roger W Li
Journal:  Vision Res       Date:  2009-02-27       Impact factor: 1.886

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.