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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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