A Neural Network Model for Image Formation of the Face Through Double-Touch Without Visual Information
The fact that neonates only 9 min old preferentially look at faces suggests that they have already acquired the visual schema of a face. However, the mechanism for learning the schema of face during the fetal period is still unknown. In this paper, a neural network model that can acquire visual schema without visual input is proposed, which is based on the fact that fetuses frequently touch their own faces. This model consists of three major functions: (1) transmission of topological information about touched area on the face to visual area through VIP, which is realized by a 2-layered SOM with Gaussianlike local connections, (2) coding of shape information with Gabor filters by finger-touching, and (3) integration of two kinds of information (i.e., topological and shape information) using Hebbian connection. The sum of Hebbian activation appears to be similar to the representation of face in polar-coordinates.
Neonate face preference Neural network model Double touch
Wei Song Toshio Inui Naohiro Takemura
Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, 606-8501 Kyoto, Japan
国际会议
The Second International Conference on Cognitive Neurodynamics--2009(第二届国际认知神经动力学会议)
杭州
英文
441-446
2009-11-15（万方平台首次上网日期，不代表论文的发表时间）