%0 Journal Article %1 Op2001 %A de Beeck, H. Op %A Wagemans, J. %A Vogels, R. %D 2001 %J Nature Neuroscience %K Action Animals; Cortex; Discrimination Gov't; Humans; Learning; Lobe; Macaca Neurons; Non-U.S. Observer Pathways Pattern Perception; Performance; Photic Potentials; Psychomotor Recognition, Research Space Stimulation; Support, Temporal Variation; Visual Visual; mulatta; %N 12 %P 1244--1252 %R 10.1038/nn767 %T Inferotemporal neurons represent low-dimensional configurations of parameterized shapes %U http://dx.doi.org/10.1038/nn767 %V 4 %X Behavioral studies with parameterized shapes have shown that the similarities among these complex stimuli can be represented using a low number of dimensions. Using psychophysical measurements and single-cell recordings in macaque inferotemporal (IT) cortex, we found an agreement between low-dimensional parametric configurations of shapes and the representation of shape similarity at the behavioral and neuronal level. The shape configurations, computed from both the perceived and neuron-based similarities, revealed a low number of dimensions and contained the same stimulus order as the parametric configurations. However, at a metric level, the behavioral and neural representations deviated consistently from the parametric configurations. These findings suggest an ordinally faithful but metrically biased representation of shape similarity in IT.

@article{Op2001, abstract = {Behavioral studies with parameterized shapes have shown that the similarities among these complex stimuli can be represented using a low number of dimensions. Using psychophysical measurements and single-cell recordings in macaque inferotemporal (IT) cortex, we found an agreement between low-dimensional parametric configurations of shapes and the representation of shape similarity at the behavioral and neuronal level. The shape configurations, computed from both the perceived and neuron-based similarities, revealed a low number of dimensions and contained the same stimulus order as the parametric configurations. However, at a metric level, the behavioral and neural representations deviated consistently from the parametric configurations. These findings suggest an ordinally faithful but metrically biased representation of shape similarity in IT.}, added-at = {2007-12-16T20:00:22.000+0100}, author = {de Beeck, H. Op and Wagemans, J. and Vogels, R.}, biburl = {https://www.bibsonomy.org/bibtex/27c3c05fded3bef96e4039ef6fef6cd70/perceptron}, doi = {10.1038/nn767}, interhash = {2a4d023a11292b031f27e9f3648a4d88}, intrahash = {7c3c05fded3bef96e4039ef6fef6cd70}, journal = {Nature Neuroscience}, keywords = {Action Animals; Cortex; Discrimination Gov't; Humans; Learning; Lobe; Macaca Neurons; Non-U.S. Observer Pathways Pattern Perception; Performance; Photic Potentials; Psychomotor Recognition, Research Space Stimulation; Support, Temporal Variation; Visual Visual; mulatta;}, number = 12, pages = {1244--1252}, pii = {nn767}, pmid = {11713468}, timestamp = {2007-12-16T20:00:25.000+0100}, title = {Inferotemporal neurons represent low-dimensional configurations of parameterized shapes}, url = {http://dx.doi.org/10.1038/nn767}, volume = 4, year = 2001 }