JN Fuel your research with LabChart
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


J Neurophysiol 87: 1867-1888, 2002;
0022-3077/02 $5.00
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (61)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Ghose, G. M.
Right arrow Articles by Maunsell, J. H. R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Ghose, G. M.
Right arrow Articles by Maunsell, J. H. R.

The Journal of Neurophysiology Vol. 87 No. 4 April 2002, pp. 1867-1888
Copyright ©2002 by the American Physiological Society

Physiological Correlates of Perceptual Learning in Monkey V1 and V2

Geoffrey M. Ghose, Tianming Yang, and John H. R. Maunsell

Division of Neuroscience and Howard Hughes Medical Institute, Baylor College of Medicine, Houston, Texas 77030

Ghose, Geoffrey M., Tianming Yang, and John H. R. Maunsell. Physiological Correlates of Perceptual Learning in Monkey V1 and V2. J. Neurophysiol. 87: 1867-1888, 2002. Performance in visual discrimination tasks improves with practice. Although the psychophysical parameters of these improvements have suggested the involvement of early areas in visual cortex, there has been little direct study of the physiological correlates of such perceptual learning at the level of individual neurons. To examine how neuronal response properties in the early visual system may change with practice, we trained monkeys for more than 6 mo in an orientation discrimination task in which behaviorally relevant stimuli were restricted to a particular retinal location and oriented around a specific orientation. During training the monkeys' discrimination thresholds gradually improved to much better than those of naive monkeys or humans. Although this improvement was specific to the trained orientation, it showed little retinotopic specificity. The receptive field properties of single neurons from regions representing the trained location and a location in the opposite visual hemifield were measured in V1 and V2. In most respects the receptive field properties in the representations of the trained and untrained regions were indistinguishable. However, in the regions of V1 and V2 representing the trained location, there were slightly fewer neurons whose optimal orientation was near the trained orientation. This resulted in a small but significant decrease in the V1 population response to the trained orientation at the trained location. Consequently, the observed neuronal populations did not exhibit any orientation-specific biases sufficient to explain the orientation specificity of the behavioral improvement. Pooling models suggest that the behavioral improvement was accomplished with a task-dependent and orientation-selective pooling of unaltered signals from early visual neurons. These data suggest that, even for training with stimuli suited to the selectivities found in early areas of visual cortex, behavioral improvements can occur in the absence of pronounced changes in the physiology of those areas.




This article has been cited by other articles:


Home page
Proc. Natl. Acad. Sci. USAHome page
P. Garrigan and P. J. Kellman
Perceptual learning depends on perceptual constancy
PNAS, February 12, 2008; 105(6): 2248 - 2253.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
C. Nakatsuka, B. Zhang, I. Watanabe, J. Zheng, H. Bi, L. Ganz, E. L. Smith, R. S. Harwerth, and Y. M. Chino
Effects of Perceptual Learning on Local Stereopsis and Neuronal Responses of V1 and V2 in Prism-Reared Monkeys
J Neurophysiol, April 1, 2007; 97(4): 2612 - 2626.
[Abstract] [Full Text] [PDF]


Home page
Learn. Mem.Home page
R. Galvez, A. P. Weible, and J. F. Disterhoft
Cortical barrel lesions impair whisker-CS trace eyeblink conditioning
Learn. Mem., January 1, 2007; 14(1-2): 94 - 100.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
J. Hegde
Search for the Neural Correlates of Learning to Discriminate Orientations
J. Neurosci., August 30, 2006; 26(35): 8877 - 8878.
[Full Text] [PDF]


Home page
J. Neurosci.Home page
S. Raiguel, R. Vogels, S. G. Mysore, and G. A. Orban
Learning to see the difference specifically alters the most informative V4 neurons.
J. Neurosci., June 14, 2006; 26(24): 6589 - 6602.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
R. Galvez, C. Weiss, A. P. Weible, and J. F. Disterhoft
Vibrissa-signaled eyeblink conditioning induces somatosensory cortical plasticity.
J. Neurosci., May 31, 2006; 26(22): 6062 - 6068.
[Abstract] [Full Text] [PDF]


Home page
Cereb CortexHome page
M. P. Walker, R. Stickgold, F. A. Jolesz, and S.-S. Yoo
The Functional Anatomy of Sleep-dependent Visual Skill Learning
Cereb Cortex, November 1, 2005; 15(11): 1666 - 1675.
[Abstract] [Full Text] [PDF]


Home page
Proc. Natl. Acad. Sci. USAHome page
Z.-L. Lu, W. Chu, B. A. Dosher, and S. Lee
Independent perceptual learning in monocular and binocular motion systems
PNAS, April 12, 2005; 102(15): 5624 - 5629.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
L. Schwabe and K. Obermayer
Adaptivity of Tuning Functions in a Generic Recurrent Network Model of a Cortical Hypercolumn
J. Neurosci., March 30, 2005; 25(13): 3323 - 3332.
[Abstract] [Full Text] [PDF]


Home page
Neural Comput.Home page
O. Hoshino
Neuronal Bases of Perceptual Learning Revealed by a Synaptic Balance Scheme
Neural Comput., March 1, 2004; 16(3): 563 - 594.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
T. Yang and J. H. R. Maunsell
The Effect of Perceptual Learning on Neuronal Responses in Monkey Visual Area V4
J. Neurosci., February 18, 2004; 24(7): 1617 - 1626.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
R. F. Salazar, C. Kayser, and P. Konig
Effects of Training on Neuronal Activity and Interactions in Primary and Higher Visual Cortices in the Alert Cat
J. Neurosci., February 18, 2004; 24(7): 1627 - 1636.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
J. J. DiCarlo and J. H. R. Maunsell
Anterior Inferotemporal Neurons of Monkeys Engaged in Object Recognition Can be Highly Sensitive to Object Retinal Position
J Neurophysiol, June 1, 2003; 89(6): 3264 - 3278.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
A. F. Teich and N. Qian
Learning and Adaptation in a Recurrent Model of V1 Orientation Selectivity
J Neurophysiol, April 1, 2003; 89(4): 2086 - 2100.
[Abstract] [Full Text] [PDF]


Home page
Learn. Mem.Home page
U. R. Karmarkar and D. V. Buonomano
Temporal Specificity of Perceptual Learning in an Auditory Discrimination Task
Learn. Mem., March 1, 2003; 10(2): 141 - 147.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Visit Other APS Journals Online