Visual suppression of low-spatial frequency information during eye movements is believed to contribute to a stable perception of our visual environment. While visual perception has been studied extensively during saccades, vergence has been somewhat neglected. Here, we show that convergence eye movements reduce contrast sensitivity to low spatial frequency information around the onset of the eye movements, but do not affect sensitivity to higher spatial frequencies. This suggests that visual suppression elicited by convergence eye movements may have the same temporal and spatial characteristics as saccadic suppression.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.visres.2013.07.008DOI Listing

Publication Analysis

Top Keywords

eye movements
20
visual suppression
12
convergence eye
12
spatial frequency
8
visual
5
eye
5
movements
5
spatial
4
frequency selectivity
4
selectivity visual
4

Similar Publications

Emerging biomarkers in Gaucher disease.

Adv Clin Chem

January 2025

Center for Orphan Drug Research, Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, United States. Electronic address:

Gaucher disease (GD) is a rare lysosomal disorder characterized by the accumulation of glycosphingolipids in macrophages resulting from glucocerebrosidase (GCase) deficiency. The accumulation of toxic substrates, which causes the hallmark symptoms of GD, is dependent on the extent of enzyme dysfunction. Accordingly, three distinct subtypes have been recognized, with type 1 GD (GD1) as the common and milder form, while types 2 (GD2) and 3 (GD3) are categorized as neuronopathic and severe.

View Article and Find Full Text PDF

Subsets of extraocular motoneurons produce kinematically distinct saccades during hunting and exploration.

Curr Biol

January 2025

Department of Neuroscience, Physiology & Pharmacology, UCL, Gower Street, London WC1E 6BT, UK. Electronic address:

Animals construct diverse behavioral repertoires by moving a limited number of body parts with varied kinematics and patterns of coordination. There is evidence that distinct movements can be generated by changes in activity dynamics within a common pool of motoneurons or by selectively engaging specific subsets of motoneurons in a task-dependent manner. However, in most cases, we have an incomplete understanding of the patterns of motoneuron activity that generate distinct actions and of how upstream premotor circuits select and assemble such motor programs.

View Article and Find Full Text PDF

Microsaccade selectivity as discriminative feature for object decoding.

iScience

January 2025

School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran 14399-57131, Iran.

Microsaccades, a form of fixational eye movements, help maintain visual stability during stationary observations. This study examines the modulation of microsaccadic rates by various stimulus categories in monkeys and humans during a passive viewing task. Stimulus sets were grouped into four primary categories: human, animal, natural, and man-made.

View Article and Find Full Text PDF

We present a case of a young woman who presented with blurring of vision in her right eye, worsening on near work. Detailed ophthalmic and neurological evaluation was done, which revealed light near dissociation, vermiform iris movements, constriction to diluted pilocarpine with absent deep tendon reflexes. Laboratory investigation indicated mild iron deficiency anemia and reduced vitamin D3 level.

View Article and Find Full Text PDF

Diagnosis of Parkinson's disease by eliciting trait-specific eye movements in multi-visual tasks.

J Transl Med

January 2025

School of Information and Communication Engineering, Dalian University of Technology, No. 2 Linggong Road, 116024, Dalian, China.

Background: Parkinson's Disease (PD) is a neurodegenerative disorder, and eye movement abnormalities are a significant symptom of its diagnosis. In this paper, we developed a multi-task driven by eye movement in a virtual reality (VR) environment to elicit PD-specific eye movement abnormalities. The abnormal features were subsequently modeled by using the proposed deep learning algorithm to achieve an auxiliary diagnosis of PD.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!