Title :
Inferotemporal network model for 3D object recognition
Author :
Efremova, Natalia ; Asakura, Nobuhiko ; Inui, Toshio ; Abdikeev, Niyaz
Author_Institution :
Dept. of Intell. Sci. & Technol., Kyoto Univ., Kyoto, Japan
Abstract :
One of the essential cognitive abilities of the human brain is the ability to recognize 3D objects. However, the exact neural mechanism is still unclear. In this study, a model of the inferior temporal cortex for object recognition is proposed. The architecture of the model is based on the modular network SOM. The model has been trained to perform object recognition and classification tasks that have been reported to occur in the TE area in the brain of macaque monkeys. We show by simulation that the model is not only capable of classifying artificial 3D objects according to their structural similarity, but also capable of achieving view-invariant recognition of the objects by incorporating a mental-rotation type mechanism.
Keywords :
brain models; cognition; medical computing; neurophysiology; object recognition; self-organising feature maps; 3D object recognition; cognitive abilities; human brain; inferior temporal cortex; inferotemporal network model; macaque monkeys; mental-rotation type mechanism; modular network SOM; neural mechanism; object classification; structural similarity; view-invariant recognition; Educational institutions; Visualization; inferotemporal cortex; mental rotation; neural network model; object recognition;
Conference_Titel :
Complex Medical Engineering (CME), 2011 IEEE/ICME International Conference on
Conference_Location :
Harbin Heilongjiang
Print_ISBN :
978-1-4244-9323-4
DOI :
10.1109/ICCME.2011.5876803
