论文标题
视觉感知中心灵的选择性和竞争
The Selectivity and Competition of the Mind's Eye in Visual Perception
论文作者
论文摘要
研究表明，大脑内的神经元对某些刺激有选择性。例如，神经科学家知道梭形面部面积（FFA）区域是在人们看到非面对象的面孔时选择性激活的。但是，主要视觉系统将信息引导到正确较高大脑的机制目前尚不清楚。在我们的工作中，我们通过创建一种新型的计算模型来模仿几种高级神经感知机制，该模型以分层竞争的形式结合了侧面和上下的反馈。我们不仅表明这些元素可以帮助解释大脑内部高水平区域的信息流和选择性，而且还证明了这些神经机制为新颖的分类框架提供了基础，该框架与计算机视觉中的传统监督学习相媲美。此外，我们提出了定量和定性结果，这些结果表明我们的生成框架与神经学主题一致，并且可以实现简单但强大的类别级别分类。
Research has shown that neurons within the brain are selective to certain stimuli. For example, the fusiform face area (FFA) region is known by neuroscientists to selectively activate when people see faces over non-face objects. However, the mechanisms by which the primary visual system directs information to the correct higher levels of the brain are currently unknown. In our work, we mimic several high-level neural mechanisms of perception by creating a novel computational model that incorporates lateral and top down feedback in the form of hierarchical competition. Not only do we show that these elements can help explain the information flow and selectivity of high level areas within the brain, we also demonstrate that these neural mechanisms provide the foundation of a novel classification framework that rivals traditional supervised learning in computer vision. Additionally, we present both quantitative and qualitative results that demonstrate that our generative framework is consistent with neurological themes and enables simple, yet robust category level classification.
