VS298: Animal Eyes: Difference between revisions

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Instructor: [mailto:baolshausen@berkeley.edu Bruno Olshausen]
[[File:animal-eyes-fig.pdf|frame|center]


This seminar will survey the wide variety of eye designs and visual systems found in the animal kingdom. Students will lead discussion each week based on readings from Land and Nilsson’s book, Animal Eyes, in addition to other articles from the literature. First organizational meeting will be held on Thursday, January 19 at 4:00, 560 Evans.
This seminar will survey the wide variety of eye designs and visual systems found in the animal kingdom. Students will lead discussion each week based on readings from Land and Nilsson’s book, Animal Eyes, in addition to other articles from the literature. First organizational meeting will be held on Thursday, January 19 at 4:00, 560 Evans.


Enrollment information:
''Instructor'': [mailto:baolshausen@berkeley.edu Bruno Olshausen]
 
''Enrollment information'':


VS 298 (section 4), 2 units  
VS 298 (section 4), 2 units  
CCN: 66495
CCN: 66495


Meeting time and place:
''Meeting time and place'':


Thursdays 6-8, Evans 560
Thursdays 6-8, Evans 560

Revision as of 22:48, 25 January 2012

[[File:animal-eyes-fig.pdf|frame|center]

This seminar will survey the wide variety of eye designs and visual systems found in the animal kingdom. Students will lead discussion each week based on readings from Land and Nilsson’s book, Animal Eyes, in addition to other articles from the literature. First organizational meeting will be held on Thursday, January 19 at 4:00, 560 Evans.

Instructor: Bruno Olshausen

Enrollment information:

VS 298 (section 4), 2 units CCN: 66495

Meeting time and place:

Thursdays 6-8, Evans 560

Reading

  • [HKP] Hertz, J. and Krogh, A. and Palmer, R.G. Introduction to the theory of neural computation. Amazon
  • [DJCM] MacKay, D.J.C. Information Theory, Inference and Learning Algorithms. Available online or Amazon
  • [DA] Dayan, P. and Abbott, L.F. Theoretical neuroscience: computational and mathematical modeling of neural systems. Amazon