Literature DB >> 9210373

Abrupt learning and retinal size specificity in illusory-contour perception.

N Rubin1, K Nakayama, R Shapley.   

Abstract

BACKGROUND: In behavioral studies of learning, a distinction is commonly made between gradual and abrupt improvements in performance. The learning of perceptual and motor skills is often characterized by gradual, incremental improvement, and is found not to generalize over stimulus manipulations such as changes in the size or location of the retinal image. In contrast, marked improvement in performance can occur suddenly - a phenomenon which has been termed 'insight'. Consequently, the brain mechanisms subserving the two types of learning are commonly thought of as distinct. Here, we examine learning of a perceptual task in which improvement appears to exhibit characteristics of both gradual and abrupt learning.
RESULTS: We describe experiments on illusory-contour perception in which the observers underwent an abrupt, dramatic improvement in performance, resembling an incident of insight. At the same time, however, the phenomenon showed a degree of stimulus-specificity that was previously thought to characterize incremental, gradual learning. The improvement was triggered only by specific visual stimuli, whereas other, quite similar, stimuli were found to be ineffective for training; the learning did not generalize to a new retinal image size, and re-training was necessary for different-sized images.
CONCLUSIONS: The juxtaposition of abrupt and stimulus-specific learning that we observed suggests that the distinction between the two forms of learning needs to be revised. Rather than postulating two distinct mechanisms, incremental and insightful learning need to be addressed within a single framework. In particular, the findings suggest that learning may involve interactions between multiple levels of representations of the stimulus.

Entities:  

Mesh:

Year:  1997        PMID: 9210373     DOI: 10.1016/s0960-9822(06)00217-x

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  30 in total

Review 1.  Perceptual training: a tool for both modifying the brain and exploring it.

Authors:  M Ahissar
Journal:  Proc Natl Acad Sci U S A       Date:  2001-10-09       Impact factor: 11.205

2.  Global visual processing in macaques studied using Kanizsa illusory shapes.

Authors:  Kimberly A Feltner; Lynne Kiorpes
Journal:  Vis Neurosci       Date:  2010-04-30       Impact factor: 3.241

3.  Demonstration of cue recruitment: change in visual appearance by means of Pavlovian conditioning.

Authors:  Qi Haijiang; Jeffrey A Saunders; Rebecca W Stone; Benjamin T Backus
Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-30       Impact factor: 11.205

4.  Laugh yourself to sleep: memory consolidation for humorous information.

Authors:  Alexis M Chambers; Jessica D Payne
Journal:  Exp Brain Res       Date:  2013-12-12       Impact factor: 1.972

5.  Broad bandwidth of perceptual learning in second-order contrast modulation detection.

Authors:  Jiawei Zhou; Fangfang Yan; Zhong-Lin Lu; Yifeng Zhou; Jie Xi; Chang-Bing Huang
Journal:  J Vis       Date:  2015-02-16       Impact factor: 2.240

6.  Contributions of procedure and stimulus learning to early, rapid perceptual improvements.

Authors:  Jeanette A Ortiz; Beverly A Wright
Journal:  J Exp Psychol Hum Percept Perform       Date:  2009-02       Impact factor: 3.332

7.  Insight solutions are correct more often than analytic solutions.

Authors:  Carola Salvi; Emanuela Bricolo; John Kounios; Edward Bowden; Mark Beeman
Journal:  Think Reason       Date:  2016-02-05

8.  Differential rates of consolidation of conceptual and stimulus learning following training on an auditory skill.

Authors:  Jeanette A Ortiz; Beverly A Wright
Journal:  Exp Brain Res       Date:  2009-11-10       Impact factor: 1.972

9.  Spatial frequency discrimination learning in normal and developmentally impaired human vision.

Authors:  Andrew T Astle; Ben S Webb; Paul V McGraw
Journal:  Vision Res       Date:  2010-09-09       Impact factor: 1.886

10.  Towards a mathematical theory of cortical micro-circuits.

Authors:  Dileep George; Jeff Hawkins
Journal:  PLoS Comput Biol       Date:  2009-10-09       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.