Modelling Prosaccade Latencies across Multiple Decision-Making Tasks.

Area of Science:

• Neuroscience
• Cognitive Psychology
• Computational Neuroscience

Background:

• Oculomotor decision-making is crucial for visually guided behavior.
• The Linear Approach to Threshold with Ergodic Rate (LATER) model explains saccadic latency in various tasks.
• Investigating model parameter consistency across tasks can reveal underlying neural mechanisms.

Purpose of the Study:

• To assess if Linear Approach to Threshold with Ergodic Rate (LATER) model parameters are preserved across different oculomotor decision-making tasks.
• To determine if a common decision-making mechanism underlies performance in step, countermanding, and Wheeless tasks.
• To investigate how task demands influence oculomotor decision-making processes.

Main Methods:

• Measured saccadic latencies in 23 human observers across three tasks: step, countermanding, and Wheeless.
• Modeled prosaccadic latencies using the Linear Approach to Threshold with Ergodic Rate (LATER) model.
• Compared reaction times and model parameters across tasks.

Main Results:

• No significant differences in reaction times or LATER model parameters were found between the step and Wheeless tasks.
• Countermanding tasks exhibited prolonged latencies, attributed to a slower decision signal rise and elevated threshold.
• These findings suggest increased caution in the countermanding task.

Conclusions:

• Common neural machinery likely underlies oculomotor decision-making.
• This machinery can be flexibly adapted based on specific task requirements.
• The LATER model effectively captures decision-making processes across varied oculomotor tasks.