Difference between revisions of "VS298: Visual Perception and its Neural Substrates"

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Friday 4-6, 560 Evans (Redwood Center conference room)
 
Friday 4-6, 560 Evans (Redwood Center conference room)
  
UNDER CONSTRUCTION 1/28/2015
 
 
'''Email list''':
 
'''Email list''':
  
 
*Seminar mailing list vs298_unsolved_problems_in_vision@lists.berkeley.edu [https://calmail.berkeley.edu/manage/list/listinfo_subscribe/vs298_unsolved_problems_in_vision@lists.berkeley.edu subscribe]
 
*Seminar mailing list vs298_unsolved_problems_in_vision@lists.berkeley.edu [https://calmail.berkeley.edu/manage/list/listinfo_subscribe/vs298_unsolved_problems_in_vision@lists.berkeley.edu subscribe]
*Lecture series mailing list [https://calmail.berkeley.edu/manage/list/listinfo_subscribe/unsolved-problems@lists.berkeley.edu subscribe]
 
  
 
'''Weekly schedule''':
 
'''Weekly schedule''':
Line 26: Line 24:
 
! Topic/Reading
 
! Topic/Reading
 
|-  
 
|-  
| Sept. 2
+
| Friday, Jan. 23
| Introduction
+
| Introduction  
* [http://www.trincoll.edu/depts/ecopsyc/perils/folder2/issues.html Gibson's unsolved problems]
 
 
|-  
 
|-  
| Sept. 9
+
| Friday, Feb. 13
| Methodology in vision science (Stan Klein)<br />
+
| The V1 classical receptive field
*  Double-judgment psychophysics: problems and solutions [http://cornea.berkeley.edu/pubs/34.pdf pdf] Read pp 1560-1567  This will give a glimpse into some of the issues involved with the relationship between detecting and identifying an object. The second part of the paper is more complicated.
+
* Schiller, P. H., Finlay, B. L., & Volman, S. F. (1976). Quantitative studies of single-cell properties in monkey striate cortex. I. Spatiotemporal organization of receptive fields. Journal of neurophysiology, 39(6), 1288-1319. [https://www.dropbox.com/s/7t284hq71tpywor/1976%20Schiller%20Finlay%20Volman%20I.pdf?dl=0 pdf]
*  Measuring, estimating, and understanding the psychometric function: A commentary [http://cornea.berkeley.edu/pubs/01-11_PERCEPTION_AND_PSYCHOPHYSICS-Measuring_estimating_and_understanding_the_psychometric_function.pdf pdf] I (Stan Klein) was an editor of a special issue of "Perception & Psychophyics" and I wrote the summary article not only commenting on a number of the articles, but also trying to clarify some misunderstood aspects in the field.
+
* Schiller, P. H., Finlay, B. L., & Volman, S. F. (1976). Quantitative studies of single-cell properties in monkey striate cortex. II. Orientation specificity and ocular dominance. Journal of neurophysiology, 39(6), 1320-1333. [https://www.dropbox.com/s/ooyroll4386nn9e/1976%20Schiller%20Finlay%20Volman%20II.pdf?dl=0 pdf]
* Psychophysics : A Practical Introduction [http://site.ebrary.com/lib/berkeley/docDetail.action?docID=10391609 site] This is the text by Kingdom and Prins that I've used when teaching psychophysics methods. I suggest reading Chapters 2 & 3. Some of the dichotomies in Chapter 2 are directly relevant to a number of unsolved problems in vision. Some might even be insoluble.
+
* Schiller, P. H., Finlay, B. L., & Volman, S. F. (1976). Quantitative studies of single-cell properties in monkey striate cortex. III. Spatial frequency. Journal of Neurophysiology, 39(6), 1334-1351.  [https://www.dropbox.com/s/txywhbenit92bak/1976%20Schiller%20Finlay%20Volman%20III.pdf?dl=0 pdf]
 
+
* Finlay, B. L., Schiller, P. H., & Volman, S. F. (1976). Quantitative studies of single-cell properties in monkey striate cortex. IV. Corticotectal cells. Journal of Neurophysiology, 39(6), 1352-1361. [https://www.dropbox.com/s/f00ow3io6l60hvg/1976%20Schiller%20Finlay%20Volman%20IV.pdf?dl=0 pdf]
Marcus background discussion<br />
+
* Schiller, P. H., Finlay, B. L., & Volman, S. F. (1976). Quantitative studies of single-cell properties in monkey striate cortex. V. Multivariate statistical analyses and models. Journal of Neurophysiology, 39(6), 1362-1374. [https://www.dropbox.com/s/0t3yx4yt133i64o/1976%20Schiller%20Finlay%20Volman%20V.pdf?dl=0 pdf]
* Beyond Hubel and Wiesel [http://vimeo.com/87683403 video]
 
* Selected chapters from the Algebraic Mind [http://www.psych.nyu.edu/gary/TAM/intro_section.html#introduction introduction] [http://www.psych.nyu.edu/gary/TAM/rules.html#rules_and_variables rules_and_variables]
 
* New Yorker piece on deep nets [http://www.newyorker.com/news/news-desk/is-deep-learning-a-revolution-in-artificial-intelligence site]
 
 
|-  
 
|-  
| Sept. 16
+
| Friday, Feb. 20
| Evening seminar, focus on student projects: form groups and discuss proposal topics [https://www.dropbox.com/s/2onrsi6n6338bjb/4Dec2014%20Grant%20PDF.pdf?dl=0 grant_format]
+
| Fine structure for parallel processing in visual cortex
 +
* Nassi, J. J., & Callaway, E. M. (2009). Parallel processing strategies of the primate visual system. Nature Reviews Neuroscience, 10(5), 360-372 [https://www.dropbox.com/s/8c1f38zysyvxpmy/2009%20Parallel%20processing%20strategies%20of%20the%20primate%20visual%20system.pdf?dl=0 pdf]
 +
* Horton, J. C., & Adams, D. L. (2005). The cortical column: a structure without a function. Philosophical Transactions of the Royal Society B: Biological Sciences, 360(1456), 837-862.  [https://www.dropbox.com/s/6ktyz9zp4v8vf8b/2005%20The%20cortical%20column.pdf?dl=0 pdf]
 +
* Daniel L. Adams, D.L & Horton, J.C. (2009) Ocular Dominance Columns: Enigmas and Challenges. Neuroscientist 15: 62 [https://www.dropbox.com/s/bcnvpn1fyn7i17q/2009%20Ocular%20Dominance%20Columns%20Enigmas%20and%20Challenges.pdf?dl=0 pdf]
 
|-
 
|-
| Sept. 19 <br />
+
| Friday, Feb. 27 (class postponed till 6 March)
(Friday) 11:00 a.m., 5101 Tolman
+
| The stable world problem
| <br /> '''Gary Marcus lecture: Computational diversity and the mesoscale organization of the neocortex''' [https://archive.org/details/Redwood_Center_2014_09_19_Gary_Marcus video]
+
* Stevens, J. K., Emerson, R. C., Gerstein, G. L., Kallos, T., Neufeld, G. R., Nichols, C. W., & Rosenquist, A. C. (1976). Paralysis of the awake human: visual perceptions. Vision research, 16(1), 93-IN9.  [https://www.dropbox.com/s/6ouf85p9g3l9tpp/1976%20Paralysis%20of%20the%20awake%20human%20-%20visual%20perceptions.pdf?dl=0 pdf]
<br />
+
* Cha, O., & Chong, S. C. (2014). The background is remapped across saccades. Experimental brain research, 232(2), 609-618. [https://www.dropbox.com/s/s6eqgbt0nzzqydx/2014%20The%20background%20is%20remapped%20across%20saccades.pdf?dl=0 pdf]
The human neocortex participates in a wide range of tasks, yet superficially appears to adhere to a relatively uniform six-layered architecture throughout its extent. For that reason, much research has been devoted to characterizing a single "canonical" cortical computation, repeated massively throughout the cortex, with differences between areas presumed to arise from their inputs and outputs rather than from “intrinsic” properties. There is as yet no consensus, however, about what such a canonical computation might be, little evidence that uniform systems can capture abstract and symbolic computation (e.g., language) and little contact between proposals for a single canonical circuit and complexities such as differential gene expression across cortex, or the diversity of neurons and synapse types. Here, we evaluate and synthesize diverse evidence for a different way of thinking about neocortical architecture, which we believe to be more compatible with evolutionary and developmental biology, as well as with the inherent diversity of cortical functions. In this conception, the cortex is composed of an array of reconfigurable computational blocks, each capable of performing a variety of distinct operations, and possibly evolved through duplication and divergence. The computation performed by each block depends on its internal configuration. Area-specific specialization arises as a function of differing configurations of the local logic blocks, area-specific long-range axonal projection patterns and area-specific properties of the input. This view provides a possible framework for integrating detailed knowledge of cortical microcircuitry with computational characterizations. With Adam Marblestone, MIT and Tom Dean, Google
+
* Hall, N. J., & Colby, C. L. (2011). Remapping for visual stability. Philosophical Transactions of the Royal Society B: Biological Sciences, 366(1564), 528-539. [https://www.dropbox.com/s/skctktdcs6cukw2/2011%20Remapping%20for%20visual%20stability.pdf?dl=0 pdf]
|-
+
* Mathôt, S., & Theeuwes, J. (2011). Visual attention and stability. Philosophical Transactions of the Royal Society B: Biological Sciences, 366(1564), 516-527. [https://www.dropbox.com/s/lvjqlmj75ye4y01/2011%20Visual%20attention%20and%20stability.pdf?dl=0 pdf]
| Sept. 23
+
* Crespi, S., Biagi, L., d'Avossa, G., Burr, D. C., Tosetti, M., & Morrone, M. C. (2011). Spatiotopic coding of BOLD signal in human visual cortex depends on spatial attention. PLoS One, 6(7), e21661.  [https://www.dropbox.com/s/5ny2h73hva52358/2011%20Spatiotopic%20Coding%20of%20BOLD%20Signal%20in%20Human%20Visual%20Cortex%20Depends%20on%20Spatial%20Attention.pdf?dl=0 pdf]
|  Marcus discussion (postponed) <br />
+
* Eye position modulates retinotopic responses in early visual areas: a bias for the straight-ahead direction  [https://www.dropbox.com/s/hvs33qxm6htxwch/2014%20Eye%20position%20modulates%20retinotopic%20responses%20in%20early%20visual%20areas.pdf?dl=0 pdf]
Feldman background discussion<br />
 
*NEW MATERIALs:
 
* Feldman, J. (2008). From molecule to metaphor: A neural theory of language. MIT press. (look at Chapters 1, 2, 9, and 26 before class) [http://site.ebrary.com/lib/berkeley/detail.action?docID=10173587 pdf]
 
*OLD MATERIALS:
 
*Feldman, J. (2013). The neural binding problem (s). Cognitive neurodynamics, 7(1), 1-11. [ftp://ftp.icsi.berkeley.edu/pub/feldman/binding.cody.pdf pdf]
 
*Feldman, J. & Narayanan, S. (2014). Affordances, Actionability, and Simulation. Affordances Workshop, Robotics Science and Systems 2014, Berkeley, CA [ftp://ftp.icsi.berkeley.edu/pub/feldman/affordances.jf.pdf pdf]
 
* Feldman, J. (2010). Ecological expected utility and the mythical neural code. Cognitive neurodynamics, 4(1), 25-35. [ftp://ftp.icsi.berkeley.edu/pub/feldman/eeu.pdf pdf]
 
* F. T. Sommer: Neural oscillatons and synchrony as mechanisms for coding, communication and computation in the visual system. Chapter in: The New Visual Neurosciences, Eds.: Leo M. Chalupa and John S. Werner, MIT Press (2014) [http://mitpress.mit.edu/sites/default/files/titles/content/9780262019163_toc_0001.pdf pdf_contents]
 
 
|-
 
|-
| Sept. 30
 
|  Discuss student projects<br />
 
 
|-
 
|-
| Wed. Oct. 1, 4:15 p.m., 489 Minor Hall
+
| Friday, 6 March [postponed till the next week]
| <br />'''Feldman lecture: The neural binding problem(s) and related mysteries''' [https://archive.org/details/uc_berkeley_vs298_2014_10_01_Jerry_Feldman video]
+
| The stable world problem (see 27 Feb. for readings)
As with many other “problems” in vision and cognitive science, “the binding problem” has been used to label a wide range of tasks of radically different behavioral and computational structure. These include a “hard” version that is currently intractable, a feature-binding variant that is productive routine science and a variable-binding case that is unsolved, but should be solvable. The talk will cover all these and some related problems that seem intractably hard as well as some that are unsolved, but are being approached with current and planned experiments.
+
* [https://www.dropbox.com/s/cigdewmtbxdgzt1/scanpath_demo.avi?dl=0 video] video (Caution, this video can induce motion sickness. Fixate center white spot while watching).
<br />
+
* Wurtz, R. H. (2008). Neuronal mechanisms of visual stability. Vision research, 48(20), 2070-2089. [https://www.dropbox.com/s/0vml2lyr32w8aqq/2008%20Neuronal%20mechanisms%20of%20visual%20stability.pdf?dl=0 pdf]
 
|-
 
|-
| Oct. 7
 
| Feldman discussion <br />
 
Malik background discussion<br />
 
* R. Girshick, J. Donahue, T. Darrell and J. Malik, "Rich feature hierarchies for accurate object detection and semantic segmentation". Proc. of CVPR 2014. [http://www.cs.berkeley.edu/~rbg/papers/r-cnn-cvpr.pdf pdf]
 
 
*P. Arbelaez, J. Pont-Tuset,  J. Barron, F. Marques and J. Malik, "Multiscale Combinatorial Grouping", Proc. of CVPR 2014. [http://www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/mcg/ pdf]
 
 
*B. Hariharan, P. Arbelaez, R. Girshick and J. Malik, Simultaneous Detection and Segmentation. ECCV (7) 2014: 297-312. [http://www.cs.berkeley.edu/~bharath2/pubs/pdfs/BharathECCV2014.pdf pdf]
 
 
*S. Gupta, R. Girshick, P. Arbelaez, J. Malik: Learning Rich Features from RGB-D Images for Object Detection and Segmentation. ECCV (7) 2014: 345-360. [http://www.cs.berkeley.edu/~sgupta/pdf/rcnn-depth.pdf pdf]
 
 
|-
 
|-
|Tue. Oct. 14, 6 to 8 p.m. 560 Evans
+
| Friday, 20 March
| <br />'''Jitendra Malik lecture: The Three R's of Computer Vision: Recognition, Reconstruction and Reorganization''' [https://archive.org/details/ucb_vs298_2014_10_14_Jitendra_Malik video]
+
| Today we will continue with Bob Wurtz's review on the stable visual world, getting into:  
<br />
+
*neurons with shifting receptive fields
 +
*a neural circuit for corollary discharge
 +
*saccadic suppression
 +
*trans-saccadic memory
 +
*attention
 +
As last week, in the second hour we will discuss how to design (and actually implement here at Berkeley) experiments suggested by the material from the first hour.
 +
|-
 
|-
 
|-
| Oct. 20, 12-1:30 p.m., Minor 489
+
| Friday, 3 April
| <br />'''Harold Bedell lecture: Contour interaction: as far from the muddling crowd?''' [https://archive.org/details/ucb_vs298_2014_10_20_Harold_Bedell video]
+
| We continue with stable world perception, focusing on Wurtz review article. I will report on my correspondence with Marc Sommer, who did a lot with shifting RFs in physiology experiments.
Contour interaction describes the interference with target recognition that occurs in the presence of nearby flanking edges. As one of the pioneers in this research, Flom distinguished between contour interaction and crowding, in which contributions to spatial interference can derive also from additional factors, such as inaccurate eye movements and attentional processes. In the normal fovea, contour interaction and crowding have a similar magnitude and operate over a similar spatial extent. Both foveal contour interaction and crowding are reduced when the luminance of the stimulus is decreased. Unlike the fovea, the magnitude and extent of contour interaction in peripheral vision are considerably more limited than crowding. Further, peripheral contour interaction and crowding are not affected substantively by target luminance. Indeed, the magnitude and extent of peripheral contour interaction are similar for photopic and scotopic targets. These results suggest that the contributions of specific mechanisms may differ for foveal and peripheral contour interaction and crowding.  
+
|-  
<br />
 
Readings:
 
*Siderov, J., Waugh, S. J., & Bedell, H. E. (2013). Foveal contour interaction for low contrast acuity targets. Vision research, 77, 10-13. [https://www.dropbox.com/s/chxuluvmy1hrumh/Siderov_Bedell_Waugh2013.pdf?dl=0 pdf]
 
*Coates, D. R., & Levi, D. M. (2014). Contour interaction in foveal vision: A response to. Vision research, 96, 140-144. [https://www.dropbox.com/s/7tycw0m71ocw4cw/Coates%20Levi%20Ltr%20VR_14.pdf?dl=0 pdf]
 
*Siderov, J., Waugh, S. J., & Bedell, H. E. (2014). Foveal contour interaction on the edge: Response to ‘Letter-to-the-Editor’by Drs. Coates and Levi. Vision research, 96, 145-148. [https://www.dropbox.com/s/2so6z5yxrsgs5iy/Siderov%20etal%20CI%20on%20Edge%20Reply%20VR_14.pdf?dl=0 pdf]
 
 
 
 
|-
 
|-
| Oct. 21
+
| Friday, 10 April
| Malik discussion <br />
+
| We will begin our focus on visual attention, with some neat videos to get things started.
Nakayama and Shimojo background discussion<br />
 
* Nakayama, K. (1999). Mid-level vision. In R. A. Wilson & F. C. Keil (Eds.), The MIT encylopedia of the cognitive sciences Cambridge: MIT Press  [http://visionlab.harvard.edu/members/ken/Papers/100mitencyclopedia99.pdf pdf]
 
* Nakayama, K. (2010)  "Vision going social." The science of social vision. Adams, R.B. Jr., Ambady, N., Nakayama, K. & Shimojo, S. (Eds) Oxford University Press [http://visionlab.harvard.edu/members/ken/Papers/160NakayamaVisionGoingSocial.pdf pdf]
 
* Nakayama, K. and Martini, P. (2011) Situating Visual Search. Vision Research, 51, 1526-1537. [http://visionlab.harvard.edu/members/ken/Papers/166NakayamaMartiniSVS2011.pdf pdf]
 
(All Nakayama pubs available [http://visionlab.harvard.edu/members/ken/nakayamapub.htm here])
 
*Shimojo, S. (2014). Postdiction: its implications on visual awareness, hindsight, and sense of agency. Frontiers in psychology, 5. [http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.00196/full pdf]
 
 
|-
 
|-
| Oct. 28, 6-8 p.m., 560 Evans
+
| Friday, 17 April
| <br />'''Ken Nakayama lecture: The scientist’s choice: solving, explaining, discovering . . . . '''
+
| Bruno Olshausen will lead discussion of dynamic routing and visual attention. This is a key research topic in Bruno's lab, so both past work and ideas for future modeling/experiments will be on the menu.
<br />
+
 
 +
His 1993 publication: "A Neurobiological Model of Visual Attention and Invariant Pattern Recognition Based on Dynamic Routing of Information" is background ready. Please check out this classic paper.
 +
|-
 
|-
 
|-
| Nov. 3 (Monday)
+
| Friday, 24 April
12:00 p.m.
+
| Brent Parsons will present two papers for discussion:
489 Minor Hall
+
Bridgeman, B. (2010). How the brain makes the world appear stable. i-Perception, 1(2), 69. [https://www.dropbox.com/s/pur0txskk5489jf/2010iPerception.pdf?dl=0 pdf]
| <br />'''Shinsuke Shimojo lecture: Postdiction: its implications on visual awareness, hindsight, and sense of agency''' [https://archive.org/details/ucb_vs298_2014_11_03_Shinsuke_Shimojo video]
+
 
<br />
+
Deubel, H., Koch, C., & Bridgeman, B. (2010). Landmarks facilitate visual space constancy across saccades and during fixation. Vision research, 50(2), 249-259. [https://www.dropbox.com/s/8eh8udm1vf0tt74/2010DeubelLandmarksVR.pdf?dl=0 pdf]
|- |-
+
 
| Nov. 3 (Monday)
+
I will present a contrasting paper:
3:30-4:30 p.m.
+
Fracasso, A., Kaunitz, L., & Melcher, D. (2015). Saccade kinematics modulate perisaccadic perception. Journal of vision, 15(3), 4. [https://www.dropbox.com/s/w31nlg5naix7lik/i1534-7362-15-3-4.pdf?dl=0 pdf]
560 Evans Hall
 
| <br />Discussion with Shinshuke Shimojo
 
<br />
 
 
|-  
 
|-  
| Nov. 4
+
   
| Nakayama and Shimojo discussion <br />
 
Wandell background discussion<br />
 
* To appear: Computational modeling of responses in human visual cortex. BA Wandell, J Winawer, KN Kay.
 
In Brain Mapping: An Encyclopedic Reference (Edited by Thompson and Friston.) [http://white.stanford.edu/~brian/papers/mri/2014-WandellWinawerKay-CorticalModeling-Encyclopedia.pdf pdf]
 
|-
 
| (Friday) Nov. 14 11 a.m., 560 Evans Hall
 
| <br />'''Brian Wandell lecture'''
 
<br />
 
|-
 
| Nov. 18
 
| Consciousness discussion <br />
 
  
|-
 
| Nov. 25
 
|| <br />
 
Koch background discussion<br />
 
*Koch, C. Project MindScope [https://www.dropbox.com/s/zslgzwyu9pey1mz/Future%20of%20the%20Brain%20-%20MindScope%20%2715.pdf?dl=0 pdf]
 
*Tsuchiya, N., & Koch, C. (2008). The relationship between consciousness and attention. The neurology of consciousness: Cognitive neuroscience and neuropathology, 63-78. [https://www.dropbox.com/s/huehdgxd77jzjha/Tsuchiya%20%26%20Koch%20%2714.pdf?dl=0 pdf]
 
*Klein, S. A. (1993). Will robots see? Chapter in Spatial Vision in Humans and Robots, Cambridge University Press, 184-199. [https://www.dropbox.com/s/0u15k6yf9o8zrvo/Klein%20Will%20Robots%20See.pdf?dl=0 pdf]
 
*Tononi, G., & Koch, C. (2014). Consciousness: Here, There but Not Everywhere. arXiv preprint arXiv:1405.7089. [http://arxiv.org/pdf/1405.7089.pdf pdf]
 
*Scientific American [http://blogs.scientificamerican.com/cross-check/2012/04/02/christof-koch-on-free-will-the-singularity-and-the-quest-to-crack-consciousness/ article]
 
*Scientific American [http://www.scientificamerican.com/article/consciousness-does-not-reside-here/ article]
 
|-
 
| Dec. 2, 4-6 p.m., 125 Li Ka Shing
 
| <br />'''Christof Koch lecture: Unsolved Problems in Vision: Consciousness.'''
 
Evening seminar: Koch Discussion<br /><br />
 
 
|}
 
|}
 
<br />
 
<br />

Latest revision as of 18:01, 23 April 2015

Psychophysical studies have taught us much about the nature of visual perception, suggesting the existence of certain neural mechanisms and representations. On the other hand, neuroscience has taught us much about neural coding properties and about the signal transformations occurring at various stages of the system. And yet there are surprisingly few findings that link these branches of investigation. The goal of this seminar is to examine the literature from both sides, with an eye towards bridging the gap. The work of physiologists (e.g., Victor Lamme and Rüdiger von der Heydt) and psychophysicists (e.g., Ken Nakayama and Patrick Cavanaugh) will be studied in depth.

The seminar will meet weekly. Coursework will consist of presenting analyses of readings in class and/or participation in a collaborative computational modeling project to simulate the neural phenomena we will be studying.

Instructor: Karl Zipser


Enrollment information: VS 298 (section 4), 2 units
CCN: 66493

Meeting time and place: Friday 4-6, 560 Evans (Redwood Center conference room)

Email list:

  • Seminar mailing list vs298_unsolved_problems_in_vision@lists.berkeley.edu subscribe

Weekly schedule:

Date Topic/Reading
Friday, Jan. 23 Introduction
Friday, Feb. 13 The V1 classical receptive field
  • Schiller, P. H., Finlay, B. L., & Volman, S. F. (1976). Quantitative studies of single-cell properties in monkey striate cortex. I. Spatiotemporal organization of receptive fields. Journal of neurophysiology, 39(6), 1288-1319. pdf
  • Schiller, P. H., Finlay, B. L., & Volman, S. F. (1976). Quantitative studies of single-cell properties in monkey striate cortex. II. Orientation specificity and ocular dominance. Journal of neurophysiology, 39(6), 1320-1333. pdf
  • Schiller, P. H., Finlay, B. L., & Volman, S. F. (1976). Quantitative studies of single-cell properties in monkey striate cortex. III. Spatial frequency. Journal of Neurophysiology, 39(6), 1334-1351. pdf
  • Finlay, B. L., Schiller, P. H., & Volman, S. F. (1976). Quantitative studies of single-cell properties in monkey striate cortex. IV. Corticotectal cells. Journal of Neurophysiology, 39(6), 1352-1361. pdf
  • Schiller, P. H., Finlay, B. L., & Volman, S. F. (1976). Quantitative studies of single-cell properties in monkey striate cortex. V. Multivariate statistical analyses and models. Journal of Neurophysiology, 39(6), 1362-1374. pdf
Friday, Feb. 20 Fine structure for parallel processing in visual cortex
  • Nassi, J. J., & Callaway, E. M. (2009). Parallel processing strategies of the primate visual system. Nature Reviews Neuroscience, 10(5), 360-372 pdf
  • Horton, J. C., & Adams, D. L. (2005). The cortical column: a structure without a function. Philosophical Transactions of the Royal Society B: Biological Sciences, 360(1456), 837-862. pdf
  • Daniel L. Adams, D.L & Horton, J.C. (2009) Ocular Dominance Columns: Enigmas and Challenges. Neuroscientist 15: 62 pdf
Friday, Feb. 27 (class postponed till 6 March) The stable world problem
  • Stevens, J. K., Emerson, R. C., Gerstein, G. L., Kallos, T., Neufeld, G. R., Nichols, C. W., & Rosenquist, A. C. (1976). Paralysis of the awake human: visual perceptions. Vision research, 16(1), 93-IN9. pdf
  • Cha, O., & Chong, S. C. (2014). The background is remapped across saccades. Experimental brain research, 232(2), 609-618. pdf
  • Hall, N. J., & Colby, C. L. (2011). Remapping for visual stability. Philosophical Transactions of the Royal Society B: Biological Sciences, 366(1564), 528-539. pdf
  • Mathôt, S., & Theeuwes, J. (2011). Visual attention and stability. Philosophical Transactions of the Royal Society B: Biological Sciences, 366(1564), 516-527. pdf
  • Crespi, S., Biagi, L., d'Avossa, G., Burr, D. C., Tosetti, M., & Morrone, M. C. (2011). Spatiotopic coding of BOLD signal in human visual cortex depends on spatial attention. PLoS One, 6(7), e21661. pdf
  • Eye position modulates retinotopic responses in early visual areas: a bias for the straight-ahead direction pdf
Friday, 6 March [postponed till the next week] The stable world problem (see 27 Feb. for readings)
  • video video (Caution, this video can induce motion sickness. Fixate center white spot while watching).
  • Wurtz, R. H. (2008). Neuronal mechanisms of visual stability. Vision research, 48(20), 2070-2089. pdf
Friday, 20 March Today we will continue with Bob Wurtz's review on the stable visual world, getting into:
  • neurons with shifting receptive fields
  • a neural circuit for corollary discharge
  • saccadic suppression
  • trans-saccadic memory
  • attention

As last week, in the second hour we will discuss how to design (and actually implement here at Berkeley) experiments suggested by the material from the first hour.

Friday, 3 April We continue with stable world perception, focusing on Wurtz review article. I will report on my correspondence with Marc Sommer, who did a lot with shifting RFs in physiology experiments.
Friday, 10 April We will begin our focus on visual attention, with some neat videos to get things started.
Friday, 17 April Bruno Olshausen will lead discussion of dynamic routing and visual attention. This is a key research topic in Bruno's lab, so both past work and ideas for future modeling/experiments will be on the menu.

His 1993 publication: "A Neurobiological Model of Visual Attention and Invariant Pattern Recognition Based on Dynamic Routing of Information" is background ready. Please check out this classic paper.

Friday, 24 April Brent Parsons will present two papers for discussion:

Bridgeman, B. (2010). How the brain makes the world appear stable. i-Perception, 1(2), 69. pdf

Deubel, H., Koch, C., & Bridgeman, B. (2010). Landmarks facilitate visual space constancy across saccades and during fixation. Vision research, 50(2), 249-259. pdf

I will present a contrasting paper: Fracasso, A., Kaunitz, L., & Melcher, D. (2015). Saccade kinematics modulate perisaccadic perception. Journal of vision, 15(3), 4. pdf


Additional Materials

  • recent special issue of CurrOpinNeuro journal
  • Olshausen BA Olshausen (2013) Perception as an Inference Problem. pdf
  • Olshausen BA (2012) 20 years of learning about vision: Questions answered, questions unanswered, and questions not yet asked. In: 20 Years of Computational Neuroscience (Symposium of the CNS 2010 annual meeting) pdf
  • Kitaoka, A (2014) Color-dependent motion illusions in stationary images and their phenomenal dimorphism. Perception advance online publication pdf
  • O'Regan, J. K., & Noë, A. (2001). A sensorimotor account of vision and visual consciousness. Behavioral and brain sciences, 24(05), 939-973.pdf
  • Bruno Olshausen lecture (1 July 2014) 20 Years of Learning About Vision: Questions Answered, Questions Unanswered, and Questions Not Yet Asked video
  • Solari, S. V. H., & Stoner, R. (2011). Cognitive consilience: primate non-primary neuroanatomical circuits underlying cognition. Frontiers in neuroanatomy, 5. pdf
  • Dyson, Freeman. The Case for Blunders. The New York Review of Books, 6 March 2014. pdf
  • Machine-Learning Maestro Michael Jordan on the Delusions of Big Data and Other Huge Engineering Efforts, 20 Oct 2014, Lee Gomes, IEEE Specturm link
  • Yann LeCunn responds to Mike Jordan's Spectrum interview link
  • Kravitz, D. J., Saleem, K. S., Baker, C. I., Ungerleider, L. G., & Mishkin, M. (2013). The ventral visual pathway: an expanded neural framework for the processing of object quality. Trends in cognitive sciences, 17(1), 26-49. pdf
  • Vinyals, O. et al. Show and Tell: A Neural Image Caption Generator. 2014 arXiv.1411.4555v1 pdf
  • Koch, C., & Tononi, G. (2011). A test for consciousness. Scientific American, 304(6), 44-47. [pdf https://www.dropbox.com/s/h2bo3swrjr1g1l1/A_Test_for_Consciousness.pdf?dl=0]