MINICOLUMNAR ORGANIZATION WITHIN SOMATOSENSORY CORTICAL SEGREGATES .2. EMERGENT FUNCTIONAL-PROPERTIES
MINICOLUMNAR ORGANIZATION WITHIN SOMATOSENSORY CORTICAL SEGREGATES .2. EMERGENT FUNCTIONAL-PROPERTIES
复制标题
DOI：
10.1093/cercor/4.4.428
复制
发表时间：
1994-07-01
期刊：
影响因子：
3.7
通讯作者：
KELLY, DG
中科院分区：
文献类型：
--
作者：
FAVOROV, OV;KELLY, DG
在这篇文章中，我们描述了上一篇配套文章中所描述的体感皮质大柱模型的一些功能特性。这些功能特性在模型网络的小柱之间的短程抑制性和长程兴奋性侧向相互作用的控制下，在刺激驱动的传入联系的自组织过程中出现。一般来说，自组织导致模型网络发展出复杂的、非线性的功能特性，并使其神经元对外围刺激的形状和时间特征敏感。获得的特性重现了躯体感觉和视觉皮质网络的一些已知特性。特别地，研究表明，即使网络在自组织过程中只暴露于静止的点刺激，模型中的神经元仍然获得区分运动刺激的方向和静止条形刺激的方向的能力。在模型网络中，不同的刺激方向和取向由不同的神经元表示，具有这些偏好的神经元的映射与真实的皮层映射具有许多共同的属性。此外，我们还展示了模型网络区分空间复杂刺激的能力，例如字母表中的字母。模型网络的紧急结构和功能特性与感觉新皮质特性之间的相似之处表明，该模型捕捉到了感觉皮质模块发展和保持其优雅、详细和可感知的信息处理能力的一些基本机制。
In this article we describe some functional properties of the model of a somatosensory cortical macrocolumn-the segregate-described in the preceding companion article. These functional properties emerged in the model network in the course of stimulus-driven self-organization of its afferent connections under control of short-range inhibitory and longer-range excitatory lateral interactions among its minicolumns. In general, self-organization leads the model network to develop complex, nonlinear functional properties, and makes its neurons sensitive to the shape and temporal features of peripheral stimuli. The properties acquired reproduce some of the known properties of somatosensory and visual cortical networks. In particular, it is shown that, even though the network is exposed only to stationary point stimuli during self-organization, neurons in the model still acquire the ability to discriminate the direction of a moving stimulus, as well as the orientation of a stationary bar stimulus. Different stimulus directions and orientations are represented by different neurons in the model network, and the maps of neurons having these preferences have many properties in common with real cortical maps. In addition, we demonstrate the model network's ability to discriminate among spatially complex stimuli, such as letters of the alphabet. The parallels between the emergent structural and functional properties of the model network and the properties of sensory neocortex suggest that the model captures some of the basic mechanisms by which sensory cortical modules develop and maintain their elegantly detailed and appreciable information-processing capabilities.