Difference between revisions of "VS212B"

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==== Week 4 (Silver) ====
 
==== Week 4 (Silver) ====
* '''Nov. 25 (4 - 6:30) - Extrastriate cortex'''
+
* '''Nov. 25 (4 - 6PM) - Extrastriate cortex'''
 
** Extrastriate cortex
 
** Extrastriate cortex
 
*** [http://redwood.berkeley.edu/VS212B/lecture_1_slides_2012.pdf Lecture slides]
 
*** [http://redwood.berkeley.edu/VS212B/lecture_1_slides_2012.pdf Lecture slides]
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**** [http://redwood.berkeley.edu/VS212B/Airplane.mov airplane change blindness demo]
 
**** [http://redwood.berkeley.edu/VS212B/Airplane.mov airplane change blindness demo]
 
**** [http://redwood.berkeley.edu/VS212B/Tourists.mov sphinx change blindness demo]
 
**** [http://redwood.berkeley.edu/VS212B/Tourists.mov sphinx change blindness demo]
* '''Nov. 28 (4 - 6:30PM) - Visual attention / Experimental methods in visual neuroscience'''
+
* '''Dec. 4 (4 - 6PM) - Experimental methods in visual neuroscience'''
 
** Experimental methods in visual neuroscience
 
** Experimental methods in visual neuroscience
 
*** [http://redwood.berkeley.edu/VS212B/lecture_3_slides_2012.pdf Lecture slides]
 
*** [http://redwood.berkeley.edu/VS212B/lecture_3_slides_2012.pdf Lecture slides]

Revision as of 01:22, 6 November 2013

Reading and other resources

  • Rodieck, "First steps in seeing"
  • Wandell, "Foundations of Vision"
  • WEBVISION (online resource)
  • Books on reserve in Optometry library:
    • Leo Chalupa and John Werner (2004) The Visual Neurosciences (two volumes)
    • Manfred Fahle and Mark Greenlee (2003) The Neuropsychology of Vision
    • Manfred Fahle and Tomaso Poggio (2002) Perceptual Learning
    • Michael Gazzaniga (2009, 4th edition) The Cognitive Neurosciences
    • Eric Kandel, et al. (2013, 5th edition) Principles of Neural Science
    • Jeremy Wolfe, et al. (2012, 3rd edition) Sensation and Perception

Syllabus

Week 1 (Olshausen)

  • Nov. 7 - Phototransduction; photoreceptor renewal; dynamic range
    • Lecture slides
    • Reading:
      • Rodieck: Chapter 8, plus "Interlude on plotting light intensity" (pp. 151-154)

Week 2 (Olshausen)

Week 3 (Olshausen)

  • Lab 2 - natural image statistics and efficient coding

Week 4 (Silver)

Week 5 (Silver)