VS298: Natural Scene Statistics: Difference between revisions
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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. | 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''': [mailto:baolshausen@berkeley.edu Bruno Olshausen] | '''Instructor''': [mailto:baolshausen@berkeley.edu Bruno Olshausen] | ||
| Line 40: | Line 33: | ||
| Feb. 10 | | Feb. 10 | ||
| '''Whitening in time and color; Robust coding''' <br /> | | '''Whitening in time and color; Robust coding''' <br /> | ||
Dong & Atick: spatiotemporal power spectrum of natural movies <br /> | * Dong & Atick: spatiotemporal power spectrum of natural movies <br /> | ||
Ruderman: statistics of cone responses <br /> | * Ruderman: statistics of cone responses <br /> | ||
Karklin & Simoncelli: noisy population coding of natural images | * Karklin & Simoncelli: noisy population coding of natural images | ||
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|- | |- | ||
| Line 51: | Line 44: | ||
| Feb. 24 | | Feb. 24 | ||
| '''ICA and sparse coding''' <br /> | | '''ICA and sparse coding''' <br /> | ||
* Barlow (1972) <br /> | |||
* Olshausen & Field (1997) <br /> | |||
* Bell & Sejnowski (1997) | |||
| | | | ||
|- | |- | ||
| March 3 | | March 3 | ||
| '''Statistics of natural sound and auditory coding''' <br /> | | '''Statistics of natural sound and auditory coding''' <br /> | ||
* Clark & Voss: '1/f noise and music' <br /> | |||
* Smith & Lewicki: sparse coding of natural sound <br /> | |||
* Klein/Deweese: ICA/sparse coding of spectrograms | |||
| | | | ||
|- | |- | ||
| March 10 | | March 10 | ||
| '''Higher-order group structure''' <br /> | | '''Higher-order group structure''' <br /> | ||
* Geisler: contour statistics <br /> | |||
* Hyvarinen: subspace ICA/topgraphic ICA <br /> | |||
* Lyu & Simoncelli: radial Gaussianization | |||
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|- | |- | ||
| March 17 | | March 17 | ||
| | | '''Energy-based models''' <br /> | ||
* Osindero & Hinton<br /> | |||
* Roth & Black | |||
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|- | |- | ||
| March 24 | | March 24 | ||
| | | '''Learning invariances through 'slow feature analysis'''' <br /> | ||
* Foldiak/Wiskott: slow feature analysis <br /> | |||
* Hyvarinen: 'Bubbles' <br /> | |||
* Berkes et al. | |||
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|- | |- | ||
| Line 77: | Line 81: | ||
|- | |- | ||
| April 7 | | April 7 | ||
| | | '''Manifold and Lie group models''' <br /> | ||
| | | | ||
|- | |- | ||
| April 14 | | April 14 | ||
| | | '''Hierarchical models''' <br /> | ||
* Shan & Cottrell: stacked ICA | |||
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|- | |- | ||
| April 21 | | April 21 | ||
| | | '''Deep network models''' <br /> | ||
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|- | |- | ||
Revision as of 01:30, 29 January 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
Schedule:
| Date | Topic/Reading | Presenter |
|---|---|---|
| Feb. 3 | Redundancy reduction, whitening, and power spectrum of natural images | Anthony DiFranco |
| Feb. 10 | Whitening in time and color; Robust coding
|
|
| Feb. 17 | ** Holiday ** | |
| Feb. 24 | ICA and sparse coding
|
|
| March 3 | Statistics of natural sound and auditory coding
|
|
| March 10 | Higher-order group structure
|
|
| March 17 | Energy-based models
|
|
| March 24 | Learning invariances through 'slow feature analysis'
|
|
| March 31 | ** Spring recess ** | |
| April 7 | Manifold and Lie group models |
|
| April 14 | Hierarchical models
|
|
| April 21 | Deep network models |
|
| April 28 | ||
| May 5 | ||
| May 12 |
