IMAGE REPRESENTATION IN THE PRIMARY VISUAL CORTEX

本申请中描述的调查旨在确定 众所周知的信息处理原理可以在多大程度上 应用于建立中枢神经系统用于 高效地从其环境中提取信息。中的方法 应用程序使用计算技术，期望 现有的生理学结果将指导和检验计算结果。 初步结果表明，许多众所周知的特征 初级视觉皮质可以从简单的视觉系统模型中获得 它同时优化了大脑皮层的信息传递 以及这样做的神经成本。模型的输出将被比较 利用现有的细胞多维生理描述， 用非线性系统获得的视觉皮层 身份识别技术。中细胞的系综性质 模型皮质将被用来获得可以与 已确定的心理物理结果。 这些研究的结果将用于指导 更复杂的神经信息处理模型，可能是 适用于中枢神经系统的其他区域。另外， 这种材料在生物和生物之间提供了重要的定量联系。 图像表示的综合方法。

The investigations described in this application are designed to determine the extent to which well known principles of information processing can be applied to establish the methods used by the central nervous system to efficiently extract information from its environment. The approach in the application employs computational techniques with the expectation that existing physiologic results will guide and test the computational ones. Preliminary results suggest that many of the well known features of the primary visual cortex can be obtained from a simple visual system model which simultaneously optimizes information transfer in the cortex along with the neural costs of doing so. Outputs of the model will be compared with existing multidimensional physiologic descriptions of cells in the visual cortex which have been obtained with nonlinear systems identification techniques. The ensemble properties of the cells in the model cortex will be used to obtain functions which can be compared with established psychophysical results. The results from these studies will be used to guide the development of more complex models of neural information processing, and may be applicable to other regions of the central nervous system. Additionally, this material provides an important quantitative link between biologic and synthetic methods for image representation.