Microsaccade selectivity as discriminative feature for object decoding

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. Distinct post-stimulus microsaccade patterns were identified across these categories, enabling successful decoding of the stimulus category with accuracy and recall of up to 85%. We observed that microsaccade rates are independent of pupil size changes. Neural data showed that category classification in the inferior temporal (IT) cortex peaks earlier than changes in microsaccade rates, suggesting feedback from the IT cortex influences eye movements after stimulus discrimination. These results contribute to neurobiological models, enhance human-machine interfaces, optimize experimental visual stimuli, and deepen understanding of microsaccades' role in object decoding.

Authors

Institutions

Publication Details

Journal
iScience
Published
2024-12-12
DOI
https://doi.org/10.1016/j.isci.2024.111584
Primary Topic
Fractal and DNA sequence analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Microsaccade selectivity as discriminative feature for object decoding

Salar Nouri, Jalaledin Noroozi, Ramin Toosi, Niloufar Faridani et al.
iScience
Fractal and DNA sequence analysis
article

Microsaccade selectivity as discriminative feature for object decoding

Salar Nouri, Jalaledin Noroozi, Ramin Toosi, Niloufar Faridani, Mohammad-Reza A. Dehaqani, Amirali Soltani Tehrani
article en

Abstract

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. Distinct post-stimulus microsaccade patterns were identified across these categories, enabling successful decoding of the stimulus category with accuracy and recall of up to 85%. We observed that microsaccade rates are independent of pupil size changes. Neural data showed that category classification in the inferior temporal (IT) cortex peaks earlier than changes in microsaccade rates, suggesting feedback from the IT cortex influences eye movements after stimulus discrimination. These results contribute to neurobiological models, enhance human-machine interfaces, optimize experimental visual stimuli, and deepen understanding of microsaccades' role in object decoding.

iScienceVol. 28(1)
University of Tehran (IR), Institute for Research in Fundamental Sciences (IR)
Reduced inequalities
Openalex Percentile: Top 80%
Fractal and DNA sequence analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Microsaccade selectivity as discriminative feature for object decoding — Salar Nouri, Jalaledin Noroozi, et al. · iScience (2024) | TGRS Research Map | TGRS