工程方法加速了 V1-V2 神经特性的计算理解。
Engineering-approach accelerates computational understanding of V1-V2 neural properties.
机构信息
Laboratory for Neuroinformatics, RIKEN Brain Science Institute, Hirosawa 2-1, Wako, Saitama, 351-0198, Japan,
出版信息
Cogn Neurodyn. 2009 Mar;3(1):1-8. doi: 10.1007/s11571-008-9065-x. Epub 2008 Sep 26.
Abstract
We present two computational models (i) long-range horizontal connections and the nonlinear effect in V1 and (ii) the filling-in process at the blind spot. Both models are obtained deductively from standard regularization theory to show that physiological evidence of V1 and V2 neural properties is essential for efficient image processing. We stress that the engineering approach should be imported to understand visual systems computationally, even though this approach usually ignores physiological evidence and the target is neither neurons nor the brain.
摘要
我们提出了两个计算模型
（i）V1 中的长程水平连接和非线性效应，（ii）盲点处的填充过程。这两个模型都是从标准正则化理论中推导出来的，以表明 V1 和 V2 神经特性的生理证据对于有效的图像处理是必不可少的。我们强调，即使这种方法通常忽略生理证据，并且目标既不是神经元也不是大脑，也应该采用工程方法从计算角度理解视觉系统。
相似文献
1
Engineering-approach accelerates computational understanding of V1-V2 neural properties.工程方法加速了 V1-V2 神经特性的计算理解。
Cogn Neurodyn. 2009 Mar;3(1):1-8. doi: 10.1007/s11571-008-9065-x. Epub 2008 Sep 26.
2
Computational theory and applications of a filling-in process at the blind spot.盲点处填充过程的计算理论与应用
Neural Netw. 2008 Nov;21(9):1261-71. doi: 10.1016/j.neunet.2008.05.001. Epub 2008 May 15.
3
Response modulations by static texture surround in area V1 of the macaque monkey do not depend on feedback connections from V2.猕猴V1区中静态纹理背景引起的反应调制不依赖于来自V2区的反馈连接。
J Neurophysiol. 2001 Jan;85(1):146-63. doi: 10.1152/jn.2001.85.1.146.
4
Patterns of inter- and intralaminar GABAergic connections distinguish striate (V1) and extrastriate (V2, V4) visual cortices and their functionally specialized subdivisions in the rhesus monkey.层间和层内GABA能连接模式区分了恒河猴的纹状（V1）和纹外（V2、V4）视觉皮层及其功能特化的亚区。
J Neurosci. 1992 Nov;12(11):4545-64. doi: 10.1523/JNEUROSCI.12-11-04545.1992.
5
Development of forward and feedback connections between areas V1 and V2 of human visual cortex.人类视觉皮层V1区和V2区之间前馈和反馈连接的发育
Cereb Cortex. 1993 Sep-Oct;3(5):476-87. doi: 10.1093/cercor/3.5.476.
6
Relationship between orientation domains, cytochrome oxidase stripes, and intrinsic horizontal connections in squirrel monkey area V2.松鼠猴V2区中取向域、细胞色素氧化酶条带与内在水平连接之间的关系
Cereb Cortex. 1994 Mar-Apr;4(2):151-65. doi: 10.1093/cercor/4.2.151.
7
Feedback connections from area MT of the squirrel monkey to areas V1 and V2.松鼠猴MT区到V1区和V2区的反馈连接。
J Comp Neurol. 2000 Sep 25;425(3):345-68.
8
Focal attention produces spatially selective processing in visual cortical areas V1, V2, and V4 in the presence of competing stimuli.在存在竞争性刺激的情况下，焦点注意力会在视觉皮层区域V1、V2和V4中产生空间选择性处理。
J Neurophysiol. 1993 Sep;70(3):909-19. doi: 10.1152/jn.1993.70.3.909.
9
Visual field representation in striate and prestriate cortices of a prosimian primate (Galago garnetti).一种原猴灵长类动物（加纳氏婴猴）纹状皮层和纹前皮层中的视野表征
J Neurophysiol. 1997 Jun;77(6):3193-217. doi: 10.1152/jn.1997.77.6.3193.
10
Functional implications of the anatomical organization of the callosal projections of visual areas V1 and V2 in the macaque monkey.猕猴视觉区域V1和V2胼胝体投射的解剖组织的功能意义。
Behav Brain Res. 1988 Aug;29(3):225-36. doi: 10.1016/0166-4328(88)90027-7.
引用本文的文献
1
Neural network modelling of the influence of channelopathies on reflex visual attention.通道病对反射性视觉注意力影响的神经网络建模
Cogn Neurodyn. 2016 Feb;10(1):49-72. doi: 10.1007/s11571-015-9365-x. Epub 2015 Nov 9.
2
A minimal mechanistic model for temporal signal processing in the lateral geniculate nucleus.外侧膝状体核中时间信号处理的最小机制模型。
Cogn Neurodyn. 2012 Jun;6(3):259-81. doi: 10.1007/s11571-012-9198-9. Epub 2012 Mar 25.
3
A case for spiking neural network simulation based on configurable multiple-FPGA systems.基于可配置的多 FPGA 系统的尖峰神经网络仿真案例。
Cogn Neurodyn. 2011 Sep;5(3):301-9. doi: 10.1007/s11571-011-9170-0. Epub 2011 Sep 17.
本文引用的文献
1
Towards a unifying model of neural net activity in the visual cortex.朝向视觉皮层中神经网络活动的统一模型。
Cogn Neurodyn. 2007 Mar;1(1):15-25. doi: 10.1007/s11571-006-9005-6.
2
Robust anisotropic diffusion.稳健的各向异性扩散
IEEE Trans Image Process. 1998;7(3):421-32. doi: 10.1109/83.661192.
3
Forward-and-backward diffusion processes for adaptive image enhancement and denoising.自适应图像增强和去噪的前向和后向扩散过程。
IEEE Trans Image Process. 2002;11(7):689-703. doi: 10.1109/TIP.2002.800883.
4
Neural responses in the macaque v1 to bar stimuli with various lengths presented on the blind spot.猕猴初级视觉皮层（V1）对出现在盲点上不同长度条形刺激的神经反应。
J Neurophysiol. 2005 May;93(5):2374-87. doi: 10.1152/jn.00811.2004. Epub 2005 Jan 5.
5
Representation of angles embedded within contour stimuli in area V2 of macaque monkeys.猕猴V2区中轮廓刺激内嵌入角度的表征。
J Neurosci. 2004 Mar 31;24(13):3313-24. doi: 10.1523/JNEUROSCI.4364-03.2004.
6
Spatial structure and symmetry of simple-cell receptive fields in macaque primary visual cortex.猕猴初级视觉皮层中简单细胞感受野的空间结构与对称性
J Neurophysiol. 2002 Jul;88(1):455-63. doi: 10.1152/jn.2002.88.1.455.
7
The Gaussian derivative model for spatial-temporal vision: I. Cortical model.用于时空视觉的高斯导数模型：I. 皮层模型。
Spat Vis. 2001;14(3-4):261-319. doi: 10.1163/156856801753253582.
8
Neural responses in the retinotopic representation of the blind spot in the macaque V1 to stimuli for perceptual filling-in.猕猴V1区盲点视网膜拓扑表征中对用于知觉填充的刺激的神经反应。
J Neurosci. 2000 Dec 15;20(24):9310-9. doi: 10.1523/JNEUROSCI.20-24-09310.2000.
9
Orientation selectivity and the arrangement of horizontal connections in tree shrew striate cortex.树鼩纹状皮层的方向选择性与水平连接的排列
J Neurosci. 1997 Mar 15;17(6):2112-27. doi: 10.1523/JNEUROSCI.17-06-02112.1997.
10
Patterns of excitation and inhibition evoked by horizontal connections in visual cortex share a common relationship to orientation columns.
Neuron. 1995 Sep;15(3):541-52. doi: 10.1016/0896-6273(95)90143-4.
Zotero 插件