A neural code for three-dimensional object shape in macaque inferotemporal cortex. Yamane, Y., Carlson, E. T, Bowman, K. C, Wang, Z., & Connor, C. E Nature neuroscience, 11(11):1352--1360, November, 2008. doi abstract bibtex Previous investigations of the neural code for complex object shape have focused on two-dimensional pattern representation. This may be the primary mode for object vision given its simplicity and direct relation to the retinal image. In contrast, three-dimensional shape representation requires higher-dimensional coding derived from extensive computation. We found evidence for an explicit neural code for complex three-dimensional object shape. We used an evolutionary stimulus strategy and linear/nonlinear response models to characterize three-dimensional shape responses in macaque monkey inferotemporal cortex (IT). We found widespread tuning for three-dimensional spatial configurations of surface fragments characterized by their three-dimensional orientations and joint principal curvatures. Configural representation of three-dimensional shape could provide specific knowledge of object structure to support guidance of complex physical interactions and evaluation of object functionality and utility.
@article{yamane_neural_2008,
title = {A neural code for three-dimensional object shape in macaque inferotemporal cortex},
volume = {11},
issn = {1546-1726},
doi = {10.1038/nn.2202},
abstract = {Previous investigations of the neural code for complex object shape have focused on two-dimensional pattern representation. This may be the primary mode for object vision given its simplicity and direct relation to the retinal image. In contrast, three-dimensional shape representation requires higher-dimensional coding derived from extensive computation. We found evidence for an explicit neural code for complex three-dimensional object shape. We used an evolutionary stimulus strategy and linear/nonlinear response models to characterize three-dimensional shape responses in macaque monkey inferotemporal cortex (IT). We found widespread tuning for three-dimensional spatial configurations of surface fragments characterized by their three-dimensional orientations and joint principal curvatures. Configural representation of three-dimensional shape could provide specific knowledge of object structure to support guidance of complex physical interactions and evaluation of object functionality and utility.},
language = {eng},
number = {11},
journal = {Nature neuroscience},
author = {Yamane, Yukako and Carlson, Eric T and Bowman, Katherine C and Wang, Zhihong and Connor, Charles E},
month = nov,
year = {2008},
pmid = {18836443},
keywords = {Cues, Normal Distribution},
pages = {1352--1360}
}
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