开发类皮质视觉对象识别系统的通用框架：尖峰波、预测编码和通用特征词典
A General Framework for Development of the Cortex-like Visual Object Recognition System: Waves of Spikes, Predictive Coding and Universal Dictionary of Features
摘要：
本研究的重点是开发类皮层视觉物体识别系统。我们提出了一个总体框架，它包括三个层次（模块）。这些模块在功能上对应于V1、V4和IT领域。采用分层级别V4和IT之间的自底向上和自顶向下连接。输入和首选刺激之间的匹配程度越高，神经元的响应时间就越短。因此，关于单个刺激的信息在时间上是分布的，并通过尖峰波来传输。尖峰的相互连接和波实现了预测编码：基于由第一波尖峰传递的信息生成初始假设，并使用连续波携带的信息进行测试。开发被认为是V4中的特征和IT中的对象的提取和积累。一旦存储了特征，即使很少激活，也可以处理。这会导致更新功能存储库。因此，IT中的对象也会更新。这说明了V4、IT的生长过程和拓扑结构的动态变化以及它们之间的联系。
英文摘要：
This study is focused on the development of the cortex-like visual object recognition system. We propose a general framework, which consists of three hierarchical levels (modules). These modules functionally correspond to the V1, V4 and IT areas. Both bottom-up and top-down connections between the hierarchical levels V4 and IT are employed. The higher the degree of matching between the input and the preferred stimulus, the shorter the response time of the neuron. Therefore information about a single stimulus is distributed in time and is transmitted by the waves of spikes. The reciprocal connections and waves of spikes implement predictive coding: an initial hypothesis is generated on the basis of information delivered by the first wave of spikes and is tested with the information carried by the consecutive waves. The development is considered as extraction and accumulation of features in V4 and objects in IT. Once stored a feature can be disposed, if rarely activated. This cause update of feature repository. Consequently, objects in IT are also updated. This illustrates the growing process and dynamical change of topological structures of V4, IT and connections between these areas.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
