VS298: Natural Scene Statistics: Difference between revisions
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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 <br /> | * Dong & Atick (1995): spatiotemporal power spectrum of natural movies [https://www.dropbox.com/s/npqsum1jx35so8p/dong-atick95.pdf paper] <br /> | ||
* Ruderman (1998): statistics of cone responses <br /> | * Ruderman (1998): statistics of cone responses [https://www.dropbox.com/s/qpo6v0viush5k0o/ruderman-color.pdf paper] <br /> | ||
* Karklin & Simoncelli (2012): noisy population coding of natural images | * Karklin & Simoncelli (2012): noisy population coding of natural images [https://www.dropbox.com/s/m4wc2c2v9p0vqyu/karklin-simoncelli12.pdf paper] | ||
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Revision as of 17:53, 3 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
General reading:
- Natural Image Statistics by Hyvarinen, Hurri & Hoyer
- Geisler WS (2008) Visual perception and the statistical properties of natural scenes. Annual Review of Psychology paper
Schedule:
Date | Topic/Reading | Presenter |
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Feb. 3 | Redundancy reduction, whitening, and power spectrum of natural images | Anthony DiFranco |
Feb. 10 | Whitening in time and color; Robust coding |
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Feb. 17 | ** Holiday ** | |
Feb. 24 | Higher-order statistics and sensory coding
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March 3 | ICA and sparse coding
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March 10 | Statistics of natural sound and auditory coding
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March 17 | Higher-order group structure
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March 24 | ** Spring recess ** | |
March 31 | Energy-based models
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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 |