RT Journal Article
SR Electronic
T1 Representation of the Material Properties of Objects in the Visual Cortex of Nonhuman Primates
JF The Journal of Neuroscience
JO J. Neurosci.
FD Society for Neuroscience
SP 2660
OP 2673
DO 10.1523/JNEUROSCI.2593-13.2014
VO 34
IS 7
A1 Naokazu Goda
A1 Atsumichi Tachibana
A1 Gouki Okazawa
A1 Hidehiko Komatsu
YR 2014
UL http://www.jneurosci.org/content/34/7/2660.abstract
AB Information about the material from which objects are made provide rich and useful clues that enable us to categorize and identify those objects, know their state (e.g., ripeness of fruits), and properly act on them. However, despite its importance, little is known about the neural processes that underlie material perception in nonhuman primates. Here we conducted an fMRI experiment in awake macaque monkeys to explore how information about various real-world materials is represented in the visual areas of monkeys, how these neural representations correlate with perceptual material properties, and how they correspond to those in human visual areas that have been studied previously. Using a machine-learning technique, the representation in each visual area was read out from multivoxel patterns of regional activity elicited in response to images of nine real-world material categories (metal, wood, fur, etc.). The congruence of the neural representations with either a measure of low-level image properties, such as spatial frequency content, or with the visuotactile properties of materials, such as roughness, hardness, and warmness, were tested. We show that monkey V1 shares a common representation with human early visual areas reflecting low-level image properties. By contrast, monkey V4 and the posterior inferior temporal cortex represent the visuotactile properties of material, as in human ventral higher visual areas, although there were some interspecies differences in the representational structures. We suggest that, in monkeys, V4 and the posterior inferior temporal cortex are important stages for constructing information about the material properties of objects from their low-level image features.