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Three-Layered Neural Model between cortical areas V1 and IT

机译:皮质区域V1和IT之间的三层神经模型

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It is well known that orientation-selective cels int he striate cortex are organized as a spatial structure in the area V1 of the visual cortex, and stimulus-selective cells in the area IT only respond to simple geometrical patterns. However, the neural network structure and its learning principle between the area V1 and the area IT have not been studied sufficiently. This paper presents a hierarchical neural network model between the area V1 and the area IT as well as its learning principle based on Kohonen's self-organizing model. Experimental results show that the hierarchical neural network organizes orientation-selective cells in the area V1 and stimulus-selective cells responding to simple geometrical patterns in the area IT.
机译:众所周知,纹状皮质中的方向选择性细胞在视觉皮层区域V1中被组织为空间结构,而IT区域中的刺激选择性细胞仅响应简单的几何图案。但是,尚未对区域V1与区域IT之间的神经网络结构及其学习原理进行充分的研究。本文提出了区域V1和区域IT之间的分层神经网络模型及其基于Kohonen的自组织模型的学习原理。实验结果表明,分层神经网络在区域V1中组织了方向选择单元,并在区域IT中对简单的几何图案进行了响应。

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