TY - GEN
T1 - Cortical representation of information about visual attributes
T2 - 2007 International Joint Conference on Neural Networks, IJCNN 2007
AU - Xiao, Youping
AU - Rao, Ravi
AU - Cecchi, Guilermo
AU - Kaplan, Ehud
PY - 2007
Y1 - 2007
N2 - Information about various visual attributes, such as orientation or color, is represented in the primate striate cortex (V1) before reaching extrastriate cortices. Previous studies, using single- or multi-unit recordings, have reached conflicting conclusions regarding the question of whether these different attributes are represented by separate populations of neurons in V1. We addressed this question with imaging of intrinsic optical signals from macaque V1. The animals viewed either full field (uniform) color stimuli or drifting black and white gratings of various orientations. We used the Support Vector Machine (SVM) algorithm to determine the relative amount of information about a given attribute at each cortical location. We found that each single-trial image contained significant amounts of information about color or orientation. The information about either attribute was distributed unevenly across V1. Color information was concentrated in small regions of high information density, surrounded by large regions of low information density, while orientation information showed the opposite pattern. Our results are consistent with the hypothesis that color and orientation are represented in different compartments in V1.
AB - Information about various visual attributes, such as orientation or color, is represented in the primate striate cortex (V1) before reaching extrastriate cortices. Previous studies, using single- or multi-unit recordings, have reached conflicting conclusions regarding the question of whether these different attributes are represented by separate populations of neurons in V1. We addressed this question with imaging of intrinsic optical signals from macaque V1. The animals viewed either full field (uniform) color stimuli or drifting black and white gratings of various orientations. We used the Support Vector Machine (SVM) algorithm to determine the relative amount of information about a given attribute at each cortical location. We found that each single-trial image contained significant amounts of information about color or orientation. The information about either attribute was distributed unevenly across V1. Color information was concentrated in small regions of high information density, surrounded by large regions of low information density, while orientation information showed the opposite pattern. Our results are consistent with the hypothesis that color and orientation are represented in different compartments in V1.
UR - https://www.scopus.com/pages/publications/41149128729
U2 - 10.1109/IJCNN.2007.4371228
DO - 10.1109/IJCNN.2007.4371228
M3 - Conference contribution
AN - SCOPUS:41149128729
SN - 142441380X
SN - 9781424413805
T3 - IEEE International Conference on Neural Networks - Conference Proceedings
SP - 1785
EP - 1789
BT - The 2007 International Joint Conference on Neural Networks, IJCNN 2007 Conference Proceedings
Y2 - 12 August 2007 through 17 August 2007
ER -