Difference between revisions of "VS265: Reading Fall2010"

From RedwoodCenter
Jump to navigationJump to search
(Updated the dates back to what they were for Fall 2010)
 
(6 intermediate revisions by 2 users not shown)
Line 76: Line 76:
 
* HKP Chapters 2 and 3
 
* HKP Chapters 2 and 3
  
==== 19 Oct ====
+
==== 19 Oct (David Zipser guest lecture) ====
  
 
* [http://redwood.berkeley.edu/vs265/zipser-manual.pdf manual] for David Zipser's BPTT simulator
 
* [http://redwood.berkeley.edu/vs265/zipser-manual.pdf manual] for David Zipser's BPTT simulator
Line 101: Line 101:
 
* Hyvarinen, Hoyer, Inki, [http://redwood.berkeley.edu/vs265/TICA.pdf Topographic Independent Component Analysis], Neural Comp, 2001.
 
* Hyvarinen, Hoyer, Inki, [http://redwood.berkeley.edu/vs265/TICA.pdf Topographic Independent Component Analysis], Neural Comp, 2001.
 
* Karklin & Lewicki paper on  [http://redwood.berkeley.edu/vs265/karklin-lewicki2003.pdf Learning Higher-Order Structure in Natural Images], Network 2003.
 
* Karklin & Lewicki paper on  [http://redwood.berkeley.edu/vs265/karklin-lewicki2003.pdf Learning Higher-Order Structure in Natural Images], Network 2003.
* Shao & Cottrell paper on [http://redwood.berkeley.edu/vs265/hshan-nips06.pdf Recursive ICA].
+
* Shao & Cottrell paper on [http://redwood.berkeley.edu/vs265/hshan-nips06.pdf Recursive ICA], NIPS 2006.
  
 
==== 18 Nov ====
 
==== 18 Nov ====
Line 124: Line 124:
 
* Izhikevich, [http://redwood.berkeley.edu/vs265/izhikevich-nn03.pdf Simple model of spiking neurons], IEEE Trans Neur Networks, 14(6):2003.
 
* Izhikevich, [http://redwood.berkeley.edu/vs265/izhikevich-nn03.pdf Simple model of spiking neurons], IEEE Trans Neur Networks, 14(6):2003.
 
* Izhikevich, [http://redwood.berkeley.edu/vs265/izhikevich-which-nn04.pdf Which Model to Use for Cortical Spiking Neurons?], IEEE Trans Neur Networks, 15(5):2004.
 
* Izhikevich, [http://redwood.berkeley.edu/vs265/izhikevich-which-nn04.pdf Which Model to Use for Cortical Spiking Neurons?], IEEE Trans Neur Networks, 15(5):2004.
 +
 +
==== 2 Dec (Jeff Hawkins guest lecture) ====
 +
 +
* Numenta document on [http://redwood.berkeley.edu/vs265/HTM_CorticalLearningAlgorithms.pdf Hierarchical Temporal Memory]
 +
 +
==== 7 Dec (Paul Rhodes guest lecture) ====
 +
 +
* Niell, Meyer, & Smith, [http://redwood.berkeley.edu/vs265/niell-smith-nn04.pdf In vivo imaging of synapse formation on a growing dendritic arbor], Nature Neuroscience, 7, 254-260.
 +
 +
* Meyer, & Smith, [http://redwood.berkeley.edu/vs265/meyer-smith-jn06.pdf Evidence from In Vivo Imaging That Synaptogenesis Guides the Growth and Branching of Axonal Arbors by Two Distinct Mechanisms], Journal of Neuroscience, 26, 3604-3614.
 +
 +
==== 9 Dec (Pentti Kanerva guest lecture) ====
 +
 +
* Kanerva, P [http://www.amazon.com/Sparse-Distributed-Memory-Bradford-Books/dp/0262111322 Sparse Distributed Memory]

Latest revision as of 02:55, 28 August 2012

26 Aug

Optional:

31 Aug

02 Sep

07 Sep

  • Handout on supervised learning in single-stage feedforward networks
  • Handout on supervised learning in multi-layer feedforward networks - "backpropagation"
  • Y. LeCun, L. Bottou, G. Orr, and K. Muller (1998) "Efficient BackProp," in Neural Networks: Tricks of the trade, (G. Orr and Muller K., eds.).
  • NetTalk demo

21 Sep

Optional:

28 Sep

Optional readings:

5 Oct

Here are some additional links to papers mentioned in lecture. Optional reading:

- Gary Blasdel, Orientation selectivity, preference, and continuity in monkey striate cortex., J Neurosci, 1992. Another source of many of nice images are in the galleries on Amiram Grinvald's site: [1]

- From Clay Reid's lab, Functional imaging with cellular resolution reveals precise micro-architecture in visual cortex. Make sure you look at the supplementary material and videos on their web site (seems partly broken) [2].

7 Oct

Additional reading:

12/14 Oct

19 Oct (David Zipser guest lecture)

  • manual for David Zipser's BPTT simulator

26 Oct

2/4 Nov

  • HKP Chapter 7, section 7.1

Application to neural data analysis:

16 Nov

18 Nov

23 Nov

Chapter 4 will be emailed to the class.

2 Dec (Jeff Hawkins guest lecture)

7 Dec (Paul Rhodes guest lecture)

9 Dec (Pentti Kanerva guest lecture)