Tononi G, Sporns O, Edelman G M
Neurosciences Institute, New York, New York 10021.
Cereb Cortex. 1992 Jul-Aug;2(4):310-35. doi: 10.1093/cercor/2.4.310.
Studies of the cerebral cortex, particularly those of the visual system, demonstrate the existence of multiple, anatomically segregated and functionally specialized cortical areas. There is no evidence that these areas, which are linked by a network of reciprocal connections, are coordinated by a higher-order center. The visual image that we perceive, however, seems to be unified and coherent. In this article, we address the problem of integration posed by these observations. In an extension of our previous work, we develop a dynamic model of reentry. Reentry is a process of parallel and recursive signaling along ordered anatomical connections that achieves integration by giving rise to constructive and correlative properties within and among maps. We present and test a computer model simulating nine functionally segregated visual areas organized into three streams for form, color, and motion. The model receives visual input consisting of camera images of objects of different shapes and colors. We show the specialized response properties of the areas in the three streams. A computational strategy involving a phase variable is introduced to represent explicitly the dynamics of short-term temporal correlations among thousands of units distributed across different areas. We then illustrate constructive and correlative consequences of reentry within a system of reciprocal intra- and interareal connections by two examples taken from psychophysics: generation of form from motion and motion capture. The model solves the so-called "binding problem" through short-term correlations, which serve to link similar object features within a simulated cortical area and to bind multiple attributes of one or more objects across several areas, including a nontopographic one. Integration emerges from cooperative effects within and among the specialized areas. These effects lead to a simple output, a simulated foveation response, that is used as a basis for conditioning. Reward is mediated by the activation of a saliency system that is modeled on diffuse projection systems in the brain. As a result, the visual cortical model carries out foveation responses to input stimuli that require the dynamic conjunction and discrimination of form, color, and location for successful performance.
对大脑皮层的研究,尤其是视觉系统的研究,表明存在多个在解剖学上相互分离且功能专门化的皮层区域。没有证据表明这些通过相互连接网络相连的区域是由一个高阶中心协调的。然而,我们所感知到的视觉图像似乎是统一且连贯的。在本文中,我们探讨了这些观察结果所带来的整合问题。在我们之前工作的扩展中,我们开发了一个折返的动态模型。折返是沿着有序解剖连接进行并行和递归信号传递的过程,它通过在图内和图之间产生建设性和相关性属性来实现整合。我们展示并测试了一个计算机模型,该模型模拟了九个功能分离的视觉区域,这些区域被组织成用于形状、颜色和运动的三个信息流。该模型接收由不同形状和颜色物体的相机图像组成的视觉输入。我们展示了三个信息流中各区域的专门响应特性。引入了一种涉及相位变量的计算策略,以明确表示分布在不同区域的数千个单元之间短期时间相关性的动态变化。然后,我们通过取自心理物理学的两个例子来说明在相互的区域内和区域间连接系统中折返的建设性和相关性后果:从运动中生成形状和运动捕获。该模型通过短期相关性解决了所谓的“绑定问题”,这些相关性用于在模拟皮层区域内链接相似的物体特征,并在多个区域(包括一个非拓扑区域)之间绑定一个或多个物体的多个属性。整合源于专门区域内和区域间的协同效应。这些效应导致一个简单的输出,即模拟的中央凹注视响应,它被用作条件作用的基础。奖励由一个基于大脑中弥散投射系统建模的显著性系统的激活介导。结果,视觉皮层模型对输入刺激执行中央凹注视响应,这需要对形状、颜色和位置进行动态结合和辨别才能成功完成。