Literature DB >> 22305750

Stimulus timing-dependent plasticity in high-level vision.

David B T McMahon1, David A Leopold.   

Abstract

Humans are able to efficiently learn and remember complex visual patterns after only a few seconds of exposure [1]. At a cellular level, such learning is thought to involve changes in synaptic efficacy, which have been linked to the precise timing of action potentials relative to synaptic inputs [2-4]. Previous experiments have tapped into the timing of neural spiking events by using repeated asynchronous presentation of visual stimuli to induce changes in both the tuning properties of visual neurons and the perception of simple stimulus attributes [5, 6]. Here we used a similar approach to investigate potential mechanisms underlying the perceptual learning of face identity, a high-level stimulus property based on the spatial configuration of local features. Periods of stimulus pairing induced a systematic bias in face-identity perception in a manner consistent with the predictions of spike timing-dependent plasticity. The perceptual shifts induced for face identity were tolerant to a 2-fold change in stimulus size, suggesting that they reflected neuronal changes in nonretinotopic areas, and were more than twice as strong as the perceptual shifts induced for low-level visual features. These results support the idea that spike timing-dependent plasticity can rapidly adjust the neural encoding of high-level stimulus attributes [7-11]. Copyright Â
© 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22305750      PMCID: PMC4342232          DOI: 10.1016/j.cub.2012.01.003

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


  33 in total

1.  Norm-based face encoding by single neurons in the monkey inferotemporal cortex.

Authors:  David A Leopold; Igor V Bondar; Martin A Giese
Journal:  Nature       Date:  2006-07-05       Impact factor: 49.962

2.  Emergence of simple-cell receptive field properties by learning a sparse code for natural images.

Authors:  B A Olshausen; D J Field
Journal:  Nature       Date:  1996-06-13       Impact factor: 49.962

3.  Size and position invariance of neuronal responses in monkey inferotemporal cortex.

Authors:  M Ito; H Tamura; I Fujita; K Tanaka
Journal:  J Neurophysiol       Date:  1995-01       Impact factor: 2.714

4.  The representation of stimulus familiarity in anterior inferior temporal cortex.

Authors:  L Li; E K Miller; R Desimone
Journal:  J Neurophysiol       Date:  1993-06       Impact factor: 2.714

5.  Unsupervised natural visual experience rapidly reshapes size-invariant object representation in inferior temporal cortex.

Authors:  Nuo Li; James J DiCarlo
Journal:  Neuron       Date:  2010-09-23       Impact factor: 17.173

6.  Physiological correlates of perceptual learning in monkey V1 and V2.

Authors:  Geoffrey M Ghose; Tianming Yang; John H R Maunsell
Journal:  J Neurophysiol       Date:  2002-04       Impact factor: 2.714

7.  Learning illumination- and orientation-invariant representations of objects through temporal association.

Authors:  Guy Wallis; Benjamin T Backus; Michael Langer; Gesche Huebner; Heinrich Bülthoff
Journal:  J Vis       Date:  2009-07-10       Impact factor: 2.240

8.  Neural organization for the long-term memory of paired associates.

Authors:  K Sakai; Y Miyashita
Journal:  Nature       Date:  1991-11-14       Impact factor: 49.962

9.  Temporal specificity in the cortical plasticity of visual space representation.

Authors:  Yu-Xi Fu; Kaj Djupsund; Hongfeng Gao; Benjamin Hayden; Kai Shen; Yang Dan
Journal:  Science       Date:  2002-06-14       Impact factor: 47.728

10.  Unsupervised learning of visual features through spike timing dependent plasticity.

Authors:  Timothée Masquelier; Simon J Thorpe
Journal:  PLoS Comput Biol       Date:  2007-01-02       Impact factor: 4.475

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  6 in total

Review 1.  The spike-timing dependence of plasticity.

Authors:  Daniel E Feldman
Journal:  Neuron       Date:  2012-08-23       Impact factor: 17.173

Review 2.  Exploring the relationship between perceptual learning and top-down attentional control.

Authors:  Anna Byers; John T Serences
Journal:  Vision Res       Date:  2012-07-28       Impact factor: 1.886

3.  Exploring the Use of Sensorial LTP/LTD-Like Stimulation to Modulate Human Performance for Complex Visual Stimuli.

Authors:  Felipe Pegado; Hendrik Vankrunkelsven; Jean Steyaert; Bart Boets; Hans Op de Beeck
Journal:  PLoS One       Date:  2016-06-24       Impact factor: 3.240

4.  Toward a unified model of face and object recognition in the human visual system.

Authors:  Guy Wallis
Journal:  Front Psychol       Date:  2013-08-15

Review 5.  The role of alpha-rhythm states in perceptual learning: insights from experiments and computational models.

Authors:  Rodrigo Sigala; Sebastian Haufe; Dipanjan Roy; Hubert R Dinse; Petra Ritter
Journal:  Front Comput Neurosci       Date:  2014-04-04       Impact factor: 2.380

Review 6.  The development of human visual cortex and clinical implications.

Authors:  Caitlin R Siu; Kathryn M Murphy
Journal:  Eye Brain       Date:  2018-04-24
  6 in total

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