Harth E, Unnikrishnan K P, Pandya A S
Science. 1987 Jul 10;237(4811):184-7. doi: 10.1126/science.3603015.
The mammalian visual system has a hierarchic structure with extensive reciprocal connections. A model is proposed in which the feedback pathways serve to modify afferent sensory stimuli in ways that enhance and complete sensory input patterns, suppress irrelevant features, and generate quasi-sensory patterns when afferent stimulation is weak or absent. Such inversion of sensory coding and feature extraction can be achieved by optimization processes in which scalar responses derived from high-level neural analyzers are used as cost functions to modify the filter properties of more peripheral sensory relays. An optimization algorithm, Alopex, which is used in the model, is readily implemented with known neural circuitry. The functioning of the system is investigated by computer simulations.
哺乳动物视觉系统具有层次结构，并带有广泛的相互连接。本文提出了一个模型，其中反馈通路用于以多种方式修改传入的感觉刺激，这些方式包括增强和完善感觉输入模式、抑制无关特征，以及在传入刺激较弱或不存在时生成准感觉模式。这种感觉编码和特征提取的反转可以通过优化过程来实现，在这些过程中，从高级神经分析器得出的标量响应被用作代价函数，以修改更多外周感觉中继的滤波器属性。该模型中使用的一种优化算法Alopex，很容易用已知的神经电路来实现。通过计算机模拟对该系统的功能进行了研究。
