Factorial variation of saccade vigor with dual decision processes
Wanyi Lyu1,2,3, Harry Parmar4, Thomas R Reppert5
1Department of Biology, York University, Toronto, ON M3J1P3 Canada.
Biorxiv : the Preprint Server for Biology
|September 5, 2025
Summary
This study shows that eye movement speed (saccade velocity) is affected by how easily monkeys can identify visual cues and target locations. Faster saccade velocity correlates with quicker decision-making and fewer errors in a visual search task.
Area of Science:
- Neuroscience
- Cognitive Science
- Computational Neuroscience
Background:
- Traditional decision-making models assume independent decision and action processes.
- Limb movement studies reveal evidence quality impacts movement dynamics.
- The relationship between evidence quality and eye movement control remains underexplored.
Purpose of the Study:
- To investigate if saccade velocity is modulated by evidence quality in a visual search task.
- To determine how stimulus-response cue discriminability and singleton localizability affect saccade dynamics.
- To explore individual differences in decision-making strategies based on error patterns and saccade velocity.
Main Methods:
- Monkeys performed a visual search GO/NOGO task with manipulated cue elongation and color similarity.
- Factorial manipulation of stimulus-response cue discrimination and singleton localization efficiency.
- Analysis of response times, error rates, and saccade velocity in relation to task parameters.
Main Results:
- Saccade velocity was higher on correct trials and inversely proportional to response time.
- Both stimulus-response cue discriminability and singleton localizability independently affected saccade velocity.
- Distinct patterns in error rates and saccade velocity suggested varied decision-making strategies across individuals.
- Error response times were influenced by localization and response selection errors.
Conclusions:
- Saccade vigor is influenced by the evidence processing and endpoint selection stages of decision-making.
- Incorporating saccade dynamics provides crucial constraints for biologically plausible computational models.
- This research addresses the challenge of model mimicry in decision-making research.
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