Brian White, Karl Gegenfurtner & Dirk Kerzel Remote distractors and an extended.

Slides:



Advertisements
Similar presentations
Attention and neglect.
Advertisements

The Left Visual Field Advantage in Asynchronous Dual-Stream RSVP Tasks: An Investigation of Potential Neural Mechanisms Andrew Clement & Nestor Matthews.
Visual Attention Attention is the ability to select objects of interest from the surrounding environment A reliable measure of attention is eye movement.
Read this article for Friday next week [1]Chelazzi L, Miller EK, Duncan J, Desimone R. A neural basis for visual search in inferior temporal cortex. Nature.
Bilateral Attentional Advantage in Gabor Detection Nestor Matthews & Jenna Kelly Department of Psychology, Denison University, Granville OH USA In.
NEUR 3680 Midterm II Review Megan Metzler
Introduction Saccadic adaptation represents a form of motor learning that compensates for physiological (aging, fatigue etc.) and pathological changes.
Control of Attention and Gaze in the Natural World.
Visual attention reveals changing color in moving objects James E. Hoffman and Scott McLean University of Delaware.
Electrophysiology of Visual Attention. Moran and Desimone (1985) “Classical” RF prediction: there should be no difference in responses in these two conditions.
Test Oct. 21 Review Session Oct 19 2pm in TH201 (that’s here)
Attention as Information Selection. Early Selection Early Selection model postulated that attention acted as a strict gate at the lowest levels of sensory.
Representation of statistical properties 作 者: Sang Chul Chong, Anne Treisman 報告者:李正彥 日 期: 2006/3/23.
Tracking multiple independent targets: Evidence for a parallel tracking mechanism Zenon Pylyshyn and Ron Storm presented by Nick Howe.
Brian White, Karl Gegenfurtner & Dirk Kerzel Random noise textures as visual distractors.
The ‘when’ pathway of the right parietal lobe L. Battelli A. Pascual - LeoneP. Cavanagh.
The Time Course of the Oblique Effect in Orientation Sensitivity Nestor Matthews, Jennifer Cox & Alana Rojewski Department of Psychology, Denison University,
Studying Visual Attention with the Visual Search Paradigm Marc Pomplun Department of Computer Science University of Massachusetts at Boston
Negative Priming Vision vs. Audition Although there have been many studies examining the negative priming phenomenon, virtually all of the existing studies.
Psych 216: Movement Attention. What is attention? Covert and overt selection appear to recruit the same areas of the brain.
Applying statistical tests to microarray data. Introduction to filtering Recall- Filtering is the process of deciding which genes in a microarray experiment.
1 Computational Vision CSCI 363, Fall 2012 Lecture 3 Neurons Central Visual Pathways See Reading Assignment on "Assignments page"
Methods Inhibition of Return was used as a marker of attention capture.  After attention goes to a location it is inhibited from returning later. Results.
1 Computational Vision CSCI 363, Fall 2012 Lecture 31 Heading Models.
Subject wearing a VR helmet immersed in the virtual environment on the right, with obstacles and targets. Subjects follow the path, avoid the obstacels,
Chapter 8: Perceiving Motion
EFFECTS OF STIMULUS WIDTH AND LENGTH ON THE DETECTION THRESHOLDS FOR II-nd ORDER GRATINGS D. Mitov, Ts. Totev, K. Racheva, I. Hristov Institute of Neurobiology,
The effects of working memory load on negative priming in an N-back task Ewald Neumann Brain-Inspired Cognitive Systems (BICS) July, 2010.
Experimental Psychology PSY 433
Spatial Smoothing and Multiple Comparisons Correction for Dummies Alexa Morcom, Matthew Brett Acknowledgements.
 Example: seeing a bird that is singing in a tree or miss a road sign in plain sight  Cell phone use while driving reduces attention and memory for.
The role of working memory in eye-gaze cueing Anna S. Law, Liverpool John Moores University Stephen R. H. Langton, University of Stirling Introduction.
Disrupting face biases in visual attention Anna S. Law, Liverpool John Moores University Stephen R. H. Langton, University of Stirling Introduction Method.
1 Computational Vision CSCI 363, Fall 2012 Lecture 16 Stereopsis.
Bilateral Superiority in Detecting Gabor Targets Among Gabor Distracters Nestor Matthews Department of Psychology, Denison University, Granville OH
Readout of Higher-level Processing in the Discharge of Superior Colliculus Cells Edward L. Keller, Kyoung-Min Lee and Robert M. McPeek The Smith-Kettlewell.
Readout of Higher-level Processing in the Discharge of Superior Colliculus Cells Edward L. Keller, Kyoung-Min Lee and Robert M. McPeek The Smith-Kettlewell.
D. Cheyne 1, J. Martinez-Trujillo 2, E. Simine 2, W. Gaetz 1, J. Tsotsos 2 1 Neuromagnetic Imaging Laboratory, Hospital for Sick Children Research Institute,
Kimron Shapiro & Frances Garrad-Cole The University of Wales, Bangor
Rapid and Persistent Adaptability of Human Oculomotor Control in Response to Simulated Central Vision Loss  MiYoung Kwon, Anirvan S. Nandy, Bosco S. Tjan 
Within a Mixed-Frequency Visual Environment
Brain States: Top-Down Influences in Sensory Processing
Interacting Roles of Attention and Visual Salience in V4
One-Dimensional Dynamics of Attention and Decision Making in LIP
Neuronal Correlates of Metacognition in Primate Frontal Cortex
Caspar M. Schwiedrzik, Winrich A. Freiwald  Neuron 
Visually-induced auditory spatial adaptation in monkeys and humans
Goal-Related Activity in V4 during Free Viewing Visual Search
Ben Scholl, Xiang Gao, Michael Wehr  Neuron 
Caspar M. Schwiedrzik, Winrich A. Freiwald  Neuron 
Fear Conditioning in Humans
The Generality of Parietal Involvement in Visual Attention
Volume 75, Issue 1, Pages (July 2012)
Learning to Link Visual Contours
Dynamic Coding for Cognitive Control in Prefrontal Cortex
Saccades actively maintain perceptual continuity
Volume 96, Issue 6, Pages e6 (December 2017)
Consequences of the Oculomotor Cycle for the Dynamics of Perception
Brain States: Top-Down Influences in Sensory Processing
Wallis, JD Helen Wills Neuroscience Institute UC, Berkeley
Segregation of Object and Background Motion in Visual Area MT
Consequences of the Oculomotor Cycle for the Dynamics of Perception
Volume 64, Issue 6, Pages (December 2009)
Stephen V. David, Benjamin Y. Hayden, James A. Mazer, Jack L. Gallant 
Feature-based attention
Attention Reorients Periodically
Sébastien Marti, Jean-Rémi King, Stanislas Dehaene  Neuron 
Reading Assignments: Lecture 16. Saccades 2 The NSL Book
John B Reppas, W.Martin Usrey, R.Clay Reid  Neuron 
Volume 99, Issue 1, Pages e4 (July 2018)
Presentation transcript:

Brian White, Karl Gegenfurtner & Dirk Kerzel Remote distractors and an extended fixation zone Walker et al. (1997) ~10° amplitude modulated latency increased target axis It’s been suggested that the remote distractor effect is caused by non-target stimulation of a collicular fixation zone. The distributed network of the cells responsible for the effect is believed to extend over a large area, responding to distractors up to 10 deg in the periphery (Walker et al., 1997). The significance of non-target onsets in this central region has been suggested earlier by the notion of a “dead-zone” for express saccades (Weber & Fischer, 1994). Recent research has also suggested that an inhibited saccadic response from a large transient onset (e.g., a display change) is also believed to have a basis in the superior colliculus (SC) (Reingold & Stampe, 2002). Introduction Our aim was to investigate the nature of non-target effects on saccadic latency, in particular its relation to both small, localized non-target stimuli (as employed in a typical remote distractor paradigm), and global non-target onsets (e.g., a display change, Reingold & Stampe, 2002). We tested the effect of a background texture known to have similar statistical properties as natural images, pink noise. In this case, a saccade target (Gabor patch, 4c/deg, SD=0.7deg²) was embedded in the noise (A). We then compared this to a condition similar to a typical remote distractor paradigm by using a small localized patch of the texture as a distractor (B). A similar comparison was made by Weber & Fischer (1994). Purpose and Design Distractors and express saccades Weber & Fischer (1994) Express saccades eliminated in either case These results have important implications for the mechanisms proposed to underlie the effect of distractors on a saccadic response, in particular the SC: While the SC is thought to play an important role in reflexive oculomotor responses, raw visual stimulation of the region representing the fixation zone is not in itself sufficient to produce an increase in latency typically found with remote distractors. Our data suggest that only a localized element (i.e. potential object) can drive collicular fixation neurons. Because the SC can receive direct retinal input in ~40ms, the SC has been implicated as the mechanism behind apparently reflexive effects due to a large transient onset (e.g., “Saccadic Inhibition Effect”, Reingold & Stampe, 2002). If both the remote distractor effect and saccadic inhibition have a basis in the SC, our results suggest further inquiry into the nature of this difference. These effects appear to be temporally separate, and may involve different mechanisms. Reingold & Stampe (2002) Saccadic inhibition in voluntary and reflexive saccades. JOCN, 14, Walker, Deubel, Schneider & Findlay (1997) Effect of remote distractors on saccade programming: Evidence for an extended fixation zone. J Neurophysiol, 78, Weber & Fischer (1994) Differential effects of non-target stimuli on the occurrence of express saccades in man. Vision Research, 34, White, Gegenfurtner & Kerzel (2005) Effects of structured non-target stimuli on saccadic latency. J Neurophysiol, 93, Funding by the Bundesministerium für Bildung und Forschung (Project MODKOG). D. Kerzel supported by the Deutsche Forschungs-gemeinschaft (DFG KE 825/3-1 and 825/4-1, 2). Target: Gabor(4c/deg), Always 4, 7 or 10° left or right of central fixation, and always simultaneous with distractor onset, except for Exp 3 Random noise texture as a “distractor” A B e.g. Possible target, distractor locations 36 x 36 deg patch 2.3 x 2.3 deg patch (2.3 X 2.3 deg patch 36 x 36 deg patch or No-Distractor Control) Non-target onset, fixation offset 0 -T SOA +T SOA EXP 1: We first tested whether a small (2.3X2.3deg) patch of the texture would result in a typical remote distractor effect (e.g., Walker et al. 1997). Results show a sharp latency increase with centrally displayed distractors only (no differences in saccadic error across conditions). EXP 3: Here we examined the time-course of the effect in Exp2: At SOAs <= 0 latencies were consistently elevated for the small patch only (no effect of full background during this period). At SOAs > 0, the pattern reverses as a background facilitates latency. Results EXP 4: Finally, we varied the size of the centrally displayed texture from 1.6°X1.6° to 4.5°X4.5° (included are data in which the edges of the patches were filtered out). The results show a steady decrease in latency as the size of the texture increased. References EXP 2: The key experiment compared the small (2.3X2.3deg) centrally displayed patch to a large (36X36 deg) background of the same texture. Only the small patch caused a significant increase in latency. No effect of the full background on latency or accuracy. Conclusion Dot T4 Dash T7 Solid T10 Effects of structured backgrounds on saccadic latency 1.6 x 1.6 deg patch 4.5 x 4.5 deg patch