Stimulus Visibility Reflected in Microsaccade Activity Jie Cui 1, Melanie Wilke 2, Nikos Logothetis 3, David Leopold 2, Hualou Liang 1 1 School of Health.

Slides:



Advertisements
Similar presentations
Cortical Dynamics Underlying Waves of Perceptual Dominance.
Advertisements

Results and Discussion Logan Pedersen & Dr. Mei-Ching Lien School of Psychological Science, College of Liberal Arts Introduction A classic finding in Psychology.
TWO MOTION SENSOR POPULATIONS, AS REVEALED BY TEST PATTERN TEMPORAL FREQUENCY Neuroethology Group Padualaan 8 NL-3583 CH Utrecht Netherlands
Attention-Dependent Hemifield Asymmetries When Judging Numerosity Nestor Matthews & Sarah Theobald Department of Psychology, Denison University, Granville.
Visual Attention Attention is the ability to select objects of interest from the surrounding environment A reliable measure of attention is eye movement.
Chapter 6: Visual Attention. Overview of Questions Why do we pay attention to some parts of a scene but not to others? Do we have to pay attention to.
Voluntary attention increases the phenomenal length of briefly flashed lines Masin S. C. University of Padua.
Neuronal Coding in the Retina and Fixational Eye Movements Christian Mendl, Tim Gollisch Max Planck Institute of Neurobiology, Junior Research Group Visual.
Visual Hemifields and Perceptual Grouping Sarah Theobald & Nestor Matthews Department of Psychology, Denison University, Granville OH USA The human.
December 1, 2009Introduction to Cognitive Science Lecture 22: Neural Models of Mental Processes 1 Some YouTube movies: The Neocognitron Part I:
Visually-induced auditory spatial adaptation in monkeys and humans Norbert Kopčo, I-Fan Lin, Barbara Shinn-Cunningham, Jennifer Groh Center for Cognitive.
Change blindness and time to consciousness Professor: Liu Student: Ruby.
Attention Modulates Responses in the Human Lateral Geniculate Nucleus Nature Neuroscience, 2002, 5(11): Presented by Juan Mo.
CONCLUSIONS INTRODUCTION METHODS RESULTS Huntington disease (HD) is an autosomal dominant, neurodegenerative disease caused by the expansion of a poly-CAG.
A new neural framework for visuospatial processing Group #4 Alicia Iafonaro Alyona Koneva Barbara Kim Isaac Del Rio.
Experiment 2 (N=10) Purpose: Examine the ability of rare abrupt onsets (20% of trials) to capture attention away from a relevant cue. Design: Half of the.
What is meant by “top-down” and “bottom-up” processing? Give examples of both. Bottom up processes are evoked by the visual stimulus. Top down processes.
Bilateral Superiority in Detecting Gabor Targets Among Gabor Distracters Nestor Matthews Department of Psychology, Denison University, Granville OH
Effect of laterality-specific training on visual learning Jenna Kelly & Nestor Matthews Department of Psychology, Denison University, Granville OH
MIB Transition for Real and After-image Seiichiro Naito, Ryo Shohara, & Makoto Katsumura Human and Information Science, Tokai University, JAPAN P20-61.
Ten participants made bimanual reaching movements with a movement time goal of 500 ms. The trajectories of the hands were recorded with an Optotrak with.
Attention to Orientation Results in an Inhibitory Surround in Orientation Space Acknowledgements Funding for this project was provided to MT through a.
Volume 53, Issue 1, Pages 9-16 (January 2007)
Volume 60, Issue 4, Pages (November 2008)
11/24/2018 Sensory Re-Weighting In Human Postural Control During Moving-Scene Perturbations A. Mahboobin1, P. Loughlin1,2, Ph.D., M. Redfern3,2, Ph.D.,
One-Dimensional Dynamics of Attention and Decision Making in LIP
Backward Masking and Unmasking Across Saccadic Eye Movements
Uwe J Ilg, Stefan Schumann, Peter Thier  Neuron 
Gijsbert Stoet, Lawrence H Snyder  Neuron 
Illusory Jitter Perceived at the Frequency of Alpha Oscillations
Choosing Goals, Not Rules: Deciding among Rule-Based Action Plans
Generalized Flash Suppression of Salient Visual Targets
Choice Certainty Is Informed by Both Evidence and Decision Time
Volume 27, Issue 2, Pages (January 2017)
Minami Ito, Gerald Westheimer, Charles D Gilbert  Neuron 
Volume 27, Issue 20, Pages e3 (October 2017)
Alteration of Visual Perception prior to Microsaccades
Volume 74, Issue 5, Pages (June 2012)
Volume 50, Issue 2, Pages (April 2006)
Attentional Modulations Related to Spatial Gating but Not to Allocation of Limited Resources in Primate V1  Yuzhi Chen, Eyal Seidemann  Neuron  Volume.
Responses of Collicular Fixation Neurons to Gaze Shift Perturbations in Head- Unrestrained Monkey Reveal Gaze Feedback Control  Woo Young Choi, Daniel.
Volume 24, Issue 13, Pages (July 2014)
Volume 95, Issue 1, Pages e3 (July 2017)
Dynamic Coding for Cognitive Control in Prefrontal Cortex
Saccades actively maintain perceptual continuity
Pieter R. Roelfsema, Henk Spekreijse  Neuron 
A Dedicated Binding Mechanism for the Visual Control of Movement
Multiple Timescales of Memory in Lateral Habenula and Dopamine Neurons
Consequences of the Oculomotor Cycle for the Dynamics of Perception
Neural Mechanisms of Visual Motion Perception in Primates
Volume 28, Issue 15, Pages e5 (August 2018)
Eye Movement Preparation Modulates Neuronal Responses in Area V4 When Dissociated from Attentional Demands  Nicholas A. Steinmetz, Tirin Moore  Neuron 
Ryo Sasaki, Takanori Uka  Neuron  Volume 62, Issue 1, Pages (April 2009)
Redmond G. O’Connell, Michael N. Shadlen, KongFatt Wong-Lin, Simon P
Neuronal Response Gain Enhancement prior to Microsaccades
Xiaomo Chen, Marc Zirnsak, Tirin Moore  Cell Reports 
Consequences of the Oculomotor Cycle for the Dynamics of Perception
Microsaccades Counteract Visual Fading during Fixation
Stephen V. David, Benjamin Y. Hayden, James A. Mazer, Jack L. Gallant 
The Normalization Model of Attention
Short-Term Memory for Figure-Ground Organization in the Visual Cortex
Microsaccades: a neurophysiological analysis
Prefrontal Neurons Coding Suppression of Specific Saccades
Volume 50, Issue 4, Pages (May 2006)
Albert V. van den Berg, Jaap A. Beintema  Neuron 
Gijsbert Stoet, Lawrence H Snyder  Neuron 
John B Reppas, W.Martin Usrey, R.Clay Reid  Neuron 
Manuel Jan Roth, Matthis Synofzik, Axel Lindner  Current Biology 
Visual Motion Induces a Forward Prediction of Spatial Pattern
Neurophysiology of the BOLD fMRI Signal in Awake Monkeys
Presentation transcript:

Stimulus Visibility Reflected in Microsaccade Activity Jie Cui 1, Melanie Wilke 2, Nikos Logothetis 3, David Leopold 2, Hualou Liang 1 1 School of Health Information Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA 2 UCNI/National Institute of Mental Health MSC-4400, 49 Convent Bethesda, MD, USA 3 Max Planck Institute for Biological Cybernetics, Spemmanstraße 38, 72076, Tübingen, Germany University of Texas Health Science Center at Houston E-contact:: Background Methods Average MS Rates Reflect Perceptual States Summary and Conclusion Our eyes are never still, but continuously move even at the moment of fixation. Microsaccades (MSs) are the largest “fixational” eye movements that are rapid and involuntary jerks of the eyes (generally < 1°) [1]. Recent behavior and neurophysiologic evidences suggest their fundamental role in visual processing [2]. However, whether microsaccades facilitate a bottom-up flow of information leading to microsaccade-driven perception, or their behavior is primarily affected by a top-down influence from higher cognitive activity keeps unsolved. If microsaccades play a role in visual perception and their behavior pattern is also influenced by cognitive states of perception, we hypothesize that the behavioral characteristics of microsaccades should be highly correlated with the perceptual states during visual suppression and other multistable perception. Reference Visual Perception Modulates MS Rate Evolution MS Direction Affected by Target Visibility I. Visual Stimulus To test the hypothesis, we analyzed microsaccade behavior observed in three non-human primates (ER, WA and DA) experiencing general flash suppression (GFS) [3]. The figure depicts the specific stimulus sequence that was used to induce a complete disappearance of a salient target (red disk) after surround onset (white dots). A typical trial started with a warning tone to cue the monkey to maintain fixation at a small central disk (yellow dots) ms before surround onset, the target was turned on at a parafoveal location on the screen. In the sessions included in this analysis, all the targets were displayed in the lower half of the screen. The monkey had to hold a level as long as the target was visible and to release it as soon as the target was invisible. The probability of perceptual suppression of the target was adjusted to about 50%. Trials were grouped into three classes: “visible”, “invisible” and “physical disappearance” trials. In physical disappearance trials the targets were removed physically from the screen. Eye movements were identified as microsaccades if peak velocity exceeded 4 standard deviation of the mean with an amplitude less than 36 arcmin (diameter of the fixation window) and duration longer than 8 ms. Figure shows a typical example of eye positions after target onset. Detected microsaccades marked in red are superimposed on the vertical (green) and horizontal (blue) traces. Vertical red dotted lines indicate the onset of microsaccades. More details of one microsaccade are shown in inlet. II. Microsaccade Detection I. Average Rates II. Other Average Parameters Average microsaccade rate after surround on under “invisible” condition is significantly lower than that under “visible” condition, but not that under “physical disappearance”, which indicates that microsaccade rate is strongly influenced by target visibility However, there is no significant difference in the parameters of amplitude, duration and peak velocity for the three perceptual conditions. Therefore, these parameters in general are not sensitive to different perceptual states. Evolution of microsaccade rate was examined as a function of perceptual states. The averaged (Panel A) and the individual variation (Panels B – D) from the three monkeys shows that: An initial strong inhibition of rate irrespective to perceptual conditions In “visible” trials the microsaccade rate promptly rebound to pre-surround-onset level in about 250 ms posterior to the rate minimum In “invisible” trials the rate remains low, reaching pre-onset level later than that in the visible trials In “physical disappearance” trials the rate generally follow that in “invisible” trials. The results suggest that the perceptual suppression of the target is unlikely caused by the reduction of microsaccade rate. The evolution of microsaccade rate is highly modulated by the visual perception of the target. The polar histogram of microsaccade direction reveals a higher “toward-target” (downward) tendency (76.4%) in the visible condition than that (60.5%) in the invisible condition. In the control condition of “physical dis- appearance” the proportion of downward microsaccades is 66.6%. The left figure shows the dynamics of directional frequency per condition, which is the difference between the rate of “toward- target” microsaccades and the rate of “opposite-to-target” ones. The results suggest that more toward-target microsaccades were generated when the target was visible. When the target was in- visible (subjectively or physically), the microsaccades to either directions were generated at an approximately equal rate. Specific patterns of oculomotor activity reflect different states of visibility in GFS experiments  During the perceptual disappearance of a salient target, the microsaccade activities are strongly inhibited, while the activities are promptly recovered when the target keeps visible.  More microsaccades are directed to the target than to the opposite direction when it is visible. When the target is invisible, microsaccades are generated at an approximately equal rate to both directions.  Patterns of microsaccade activities in “physical disappearance” condition follow closely the patterns in “invisible” condition. Therefore, microsaccade absence unlikely directly causes the target suppression. Thus, microsaccade behavior is highly correlated with the perceptual state of target visibility and primarily driven by higher cognitive activity. Microsaccadic rate and direction can be reliable indicators of the inner perceptual states. [1] Martinez-Conde, S., Macknik, S.L. & Hubel D.H. (2004). The role of fixational eye movements in visual perception. Nature Reviews Neuroscience, 5(3), [2] Leopold, D.A., & Logothetis, N.K. (1998). Microsaccades differentially modulate neural activity in the striate and extrastriate visual cortex. Experimental Brain Research, 123(3), [3] Wilke, M., Logothetis, N.K., & Leopold, D.A. (2006). Local field potential reflects perceptual suppression in monkey visual cortex. Proceedings of the National Academy of Science of the United States of America, 103(46), Acknowledgment: NIH R01 MH072034, the Max Planck Society & NSERC Postdoctoral Fellowship to J.C.