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Cerebral Cortex Advance Access published online on January 28, 2009

Cerebral Cortex, doi:10.1093/cercor/bhn244
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© The Author 2009. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org

Different Spatial Scales of Shape Similarity Representation in Lateral and Ventral LOC

Daniel M Drucker1 and Geoffrey K Aguirre2

1 Psychology Department, 2 Neurology Department, University of Pennsylvania, Philadelphia, PA 19104, USA

Address correspondence to Geoffrey K. Aguirre, Neurology Department, University of Pennsylvania, 3400 Spruce Street, 3 West Gates, Philadelphia, PA 19104, USA. Email: aguirreg{at}mail.med.upenn.edu.

We investigated the relationship between stimulus similarity for a set of parameterized shapes and the spatial scale of neural representation within subregions of the lateral occipital complex (LOC) using a carryover functional magnetic resonance imaging design. In ventral but not lateral LOC, a linear recovery from adaptation proportional to shape dissimilarity was seen. In contrast, a strong correspondence of the distributed neural pattern and stimulus similarity was observed in lateral LOC but not ventral LOC. Further, ventral LOC voxels were found to be broadly tuned and represent all aspects of stimulus similarity, whereas lateral LOC voxels were narrowly tuned and preferentially represented the shape of small features rather than their orientation within the shape. The results, indicating a coarse spatial coding of shape features in lateral LOC and a more focused coding of the entire shape space within ventral LOC, may be related to hierarchical models of object processing.

Key Words: fMRI • neural adaptation • object perception • pattern classification • shape perception


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J. Neurophysiol.Home page
D. M. Drucker, W. T. Kerr, and G. K. Aguirre
Distinguishing Conjoint and Independent Neural Tuning for Stimulus Features With fMRI Adaptation
J Neurophysiol, June 1, 2009; 101(6): 3310 - 3324.
[Abstract] [Full Text] [PDF]



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