题目：Descriptive, Mechanistic and Interpretive Models of Primary Visual Cortex
　　主讲人：肖达，北京邮电大学计算机学院教师。
　　 袁行远，前淘宝网数据挖掘与并行计算高级算法工程师，现辞职休假中。
　　
　　提纲：
　　1.Descriptive models (What):
　　 * Responses of a Neuron in an Intact Cat Brain, (视频: Hubel & Wiesel - Cortical Neuron - V1http://v.youku.com/v_show/id_XNDc0MTkxODc2.html)
　　 * Contrast sensitivity of Human
　　 * Receptive Fields and Edges Detection Program Demo
　　2.Machanistic Models (How):
　　 * Oriented Receptive Fields and Position-Less Receptive Fields
　　 * Fourier Decomposition hypothesis
　　 * Build Self-Organizing Map for V1
　　3.Interpretive Models (Why):
　　 * What is the Best Multi-Stage Architecture for Object Recognition
　　4.The columnar organization of the neocortex and its implication for computer vision
　　
　　参考文献：
　　【NB】Matteo Carandini (2012) Area V1. Scholarpedia, 7(7):12105. http://www.scholarpedia.org/article/Area_V1 
　　【NB】【CM】Carandini M, et al. (2005) Do we know what the early visual system does? Journal of Neuroscience, 25:10577-10597.
　　【NB】Douglas, RJ and Martin, KAC (2007) Recurrent neuronal circuits in the neocortex. Current Opinion in Biology, 17:496-500.
　　【NB】Douglas, RJ and Martin, KAC (2010) Canonical cortical circuits. Chapter 2 in Handbook of Brain Microcircuits 15-21.
　　【ML】Kevin Jarrett, Koray Kavukcuoglu, Marc’Aurelio Ranzato, and Yann LeCun. (2009) What is the Best Multi-Stage Architecture for Object Recognition? in Proc. International Conference on Computer Vision (ICCV’09).
　　(文章前的标签代表类型，NB=神经生物学发现，CM=计算模型，ML=机器学习算法，SP=统计物理。)

多贝视频：

  ​http://www.duobei.com/room/3011311368

讲稿：

　　袁行远，What do we know about V1
　　http://vdisk.weibo.com/s/u4Vws15JLvz_z 
　　
　　代码演示网址 http://www.demogng.de/ 
　　
　　肖达，Modular organization of neocortex and its implication for computer vision
　　http://vdisk.weibo.com/s/u4Vws15JLvz_l

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