Running as fast as it can: How spiking dynamics form object groupings in the laminar circuits of visual cortex
Running as fast as it can: How spiking dynamics form object groupings in the laminar circuits of visual cortex
复制标题
尽可能快地运行：尖峰动力学如何在视觉皮层的层状回路中形成对象分组
DOI：
10.1007/s10827-009-0211-1
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发表时间：
2010
影响因子：
1.2
通讯作者：
S. Grossberg
中科院分区：
文献类型：
--
作者：
Jasmin Léveillé;Massimiliano Versace;S. Grossberg
发放神经元如何合作控制行为过程是计算神经科学中的一个基本问题。这种合作的动力学需要在视觉感知时，空间分布的图像片段被分组到紧急边界轮廓。感知分组是尖峰细胞的一个挑战，因为它的共线促进和模拟敏感性的特性发生在响应于在许多相互作用的细胞之间具有不规则定时的二进制尖峰。一些模型已经证明了尖峰动力学在经常性层状新皮层电路，但没有感知分组发生。其他模型已经分析了某些感知的快速速度在一个单一的前馈扫描活动，但不能解释其他感知，如虚幻的轮廓，其中感知模糊性可能需要数百毫秒来解决集成多个尖峰随着时间的推移。目前的模型调和快速前馈与较慢的反馈处理，二进制尖峰与模拟网络级的属性，在一个层状皮层网络的尖峰细胞的涌现性能定量模拟参数数据的神经生理学实验，包括形成虚幻的轮廓;非经典的视觉感受野的结构;和自同步伽马振荡。这些层流动力学揭示了大脑如何通过使用适当设计的非线性反馈尖峰网络来解决局部信息模糊性，这些网络尽可能快地运行，因为它们处理的数据中存在大量的不确定性。
How spiking neurons cooperate to control behavioral processes is a fundamental problem in computational neuroscience. Such cooperative dynamics are required during visual perception when spatially distributed image fragments are grouped into emergent boundary contours. Perceptual grouping is a challenge for spiking cells because its properties of collinear facilitation and analog sensitivity occur in response to binary spikes with irregular timing across many interacting cells. Some models have demonstrated spiking dynamics in recurrent laminar neocortical circuits, but not how perceptual grouping occurs. Other models have analyzed the fast speed of certain percepts in terms of a single feedforward sweep of activity, but cannot explain other percepts, such as illusory contours, wherein perceptual ambiguity can take hundreds of milliseconds to resolve by integrating multiple spikes over time. The current model reconciles fast feedforward with slower feedback processing, and binary spikes with analog network-level properties, in a laminar cortical network of spiking cells whose emergent properties quantitatively simulate parametric data from neurophysiological experiments, including the formation of illusory contours; the structure of non-classical visual receptive fields; and self-synchronizing gamma oscillations. These laminar dynamics shed new light on how the brain resolves local informational ambiguities through the use of properly designed nonlinear feedback spiking networks which run as fast as they can, given the amount of uncertainty in the data that they process.
影响因子：
2.5
作者：
Boudreau, C. Elizabeth;Williford, Tori H.;Maunsell, John H. R.
通讯作者：
Maunsell, John H. R.
影响因子：
3.7
作者：
Lund, JS;Angelucci, A;Bressloff, PC
通讯作者：
Bressloff, PC
冷却区域 18 对松鼠猴纹状皮层细胞的影响。
影响因子：
2.5
作者：
Sandell,JH;Schiller,PH
通讯作者：
Schiller,PH