Quantitative methods in neuroscience
NeuBeh 545/PBIO 545
Tu/Th 10:30-11:50, G328 HSB
| Date | Topic and Handouts | Reading and Discussion topics |
| 1/6 |
linear algebra primer from Eero Simoncelli Linear transformations on Wikipedia Column space demo from class (note: requires some files from linear algebra tutorial - get those first) |
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| 1/8 | Linear Algebra: Discussion |
linear algebra tutorial normrnd PlotVector Plot3DVector statsizechk note: you need all five files; make sure they are all on Matlab's path. You may already have normrnd and statsizechk if you have the statistics toolbox. |
| 1/13 | Journal club:
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Wandell, Foundations of Vision, Chapter 4 |
| 1/15 | Journal club:
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| 1/20 |
Fourier Analysis, Filters and Convolution | Press et al., Numerical Recipes, pages 496-508
(2nd edition, this is beginning of Ch. 12); Ch. 13 |
| 1/22 |
Fourier Analysis, Filters and Convolution: Discussion
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linear systems primer from Eero Simoncelli (note this is not the same as the linear algebra one above - has a lot of Fourier stuff in it). Partha Mitra’s open source Matlab code for spectral analysis, with links to online tutorials: http://chronux.org/home/ spectral analysis notes from Kleinfeld |
| 1/27 | Journal club:
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Hubel-Wiesel direction selective Hubel-Wiesel orientation selective papers for discussion: |
| 1/29 | Journal club:
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| 2/3 | Differential equations and neural dynamics
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Howard Berg, Random Walks in Biology, Appendix B |
| 2/5 | Differential equations and neural dynamics: Discussion |
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| 2/10 | Journal club:
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| 2/12 | Journal club:
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Supplementary material: |
| 2/17 | Introduction to the Theory of Stochastic Processes
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Berg, Apendix A |
| 2/19 | Introduction to the Theory of Stochastic Processes: Discussion
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Stochastic Processes Tutorial (note: you need all four files in this folder; make sure they are all on Matlab's path) Moment generating functions tuturial (you need both files in folder) Kemeny and Snell, Finite Markov Chains |
| 2/24 | Journal club:
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Shadlen and Newsome, Current Opinion (primary paper for discussion) |
| 2/26 | Journal club:
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| 3/3 | PCA and Dimensional Reduction | PCA tutorial (note: you need all four files in this folder; make sure they are all on Matlab's path) |
| 3/5 | PCA and Dimensional Reduction: Discussion | Golomb LGN paper |
| 3/10 | Journal club:
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Simoncelli chapter (good intro to PCA and friends)
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| 3/12 | Journal club:
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Instructors and contact info:
| Adrienne Fairhall | fairhall@u.washington.edu |
| Fred Rieke | rieke@u.washington.edu |
| Mike Shadlen | shadlen@u.washington.edu |
| Ryan Eaton | eatonr@u.washington.edu |
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Course project:
Computers, etc:
Computers with MATLAB are available in the PBIO computer room and the NeuBeh office.
Contact one of us if you are having problems finding a machine you can use.
Useful links:
site for Theoretical Neuroscience, Dayan and Abbott (see Exercises)
Mathematical details of Fourier analysis from Wolfram Research