VS298: Natural Scene Statistics: Difference between revisions
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Dylan Paiton<br /> | Dylan Paiton<br /> | ||
Michael Levy | Michael Levy | ||
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| Feb. 10 | | Feb. 10 | ||
| '''Whitening in time and color; Robust coding''' <br /> | | '''Whitening in time and color; Robust coding''' <br /> | ||
* Dong & Atick (1995): spatiotemporal power spectrum of natural movies [https://www.dropbox.com/s/npqsum1jx35so8p/dong-atick95.pdf paper] | * Dong & Atick (1995): spatiotemporal power spectrum of natural movies [https://www.dropbox.com/s/npqsum1jx35so8p/dong-atick95.pdf paper] | ||
* Ruderman (1998): statistics of cone responses [https://www.dropbox.com/s/qpo6v0viush5k0o/ruderman-color.pdf paper] | * Ruderman (1998): statistics of cone responses [https://www.dropbox.com/s/qpo6v0viush5k0o/ruderman-color.pdf paper] | ||
* Karklin & Simoncelli (2012): noisy population coding of natural images [https://www.dropbox.com/s/m4wc2c2v9p0vqyu/karklin-simoncelli12.pdf paper] | * Karklin & Simoncelli (2012): noisy population coding of natural images [https://www.dropbox.com/s/m4wc2c2v9p0vqyu/karklin-simoncelli12.pdf paper] | ||
Additional reading: | |||
* Dong & Atick (1995) - spatiotemporal decorrelation using lagged and non-lagged cells [https://www.dropbox.com/s/lt13hc4mgcre5j3/dong-atick-decorrelation.pdf paper] | |||
* Doi & Lewicki (2007) - A theory of retinal population coding [https://www.dropbox.com/s/kz0jfeiblcpha1e/doi-lewicki07.pdf paper] | |||
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Chayut Thanapirom<br /> | Chayut Thanapirom<br /> | ||
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* Barlow (1972): Sparse coding <br /> | * Barlow (1972): Sparse coding <br /> | ||
* Field (1994): What is the goal of sensory coding? <br /> | * Field (1994): What is the goal of sensory coding? <br /> | ||
* Bell & Sejnowski (1996): Independent | * Bell & Sejnowski (1996): Independent component analysis. | ||
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* Olshausen & Field (1997): Sparse coding of natural images <br /> | * Olshausen & Field (1997): Sparse coding of natural images <br /> | ||
* van Hateren & Ruderman (1998), Olshausen (2003): ICA/sparse coding of natural video | * van Hateren & Ruderman (1998), Olshausen (2003): ICA/sparse coding of natural video | ||
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Mayur Mudigonda<br /> | |||
TBD<br /> | |||
TBD | |||
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| March 10 | | March 10 | ||
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* Osindero & Hinton: Product of Experts <br /> | * Osindero & Hinton: Product of Experts <br /> | ||
* Roth & Black: Fields of experts | * Roth & Black: Fields of experts | ||
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TBD<br /> | |||
TBD<br /> | |||
Chris Warner | |||
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| April 7 | | April 7 |
Revision as of 00:25, 7 February 2014
This seminar will examine what is known about the statistical structure of natural visual and auditory scenes, and theories of how sensory coding strategies have been adapted to this structure.
Instructor: Bruno Olshausen
Enrollment information:
VS 298 (section 4), 2 units
CCN: 66489
Meeting time and place:
Monday 6-8, Evans 560
Email list:
nss2014@lists.berkeley.edu subscribe
Readings:
Books and review articles:
- Natural Image Statistics by Hyvarinen, Hurri & Hoyer
- Olshausen BA & Lewicki MS (2013) What natural scene statistics can tell us about cortical representation. In: The Cognitive Neurosciences V. paper
- Geisler WS (2008) Visual perception and the statistical properties of natural scenes. Annual Review of Psychology paper
Weekly schedule:
Date | Topic/Reading | Presenter |
---|---|---|
Feb. 3 | Redundancy reduction, whitening, and power spectrum of natural images
Additional reading:
|
Anthony DiFranco |
Feb. 10 | Whitening in time and color; Robust coding
Additional reading: |
Chayut Thanapirom |
Feb. 17 | ** Holiday ** | |
Feb. 24 | Higher-order statistics and sensory coding
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March 3 | ICA and sparse coding
|
Mayur Mudigonda |
March 10 | Statistics of natural sound and auditory coding
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Tyler Lee |
March 17 | Higher-order group structure
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TBD |
March 24 | ** Spring recess ** | |
March 31 | Energy-based models
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TBD |
April 7 | Learning invariances through 'slow feature analysis'
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April 14 | Manifold and Lie group models
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April 21 | Hierarchical models
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April 28 | Deep network models
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May 5 | Special topics |
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May 12 | Special topics |