Known task demands
Each trial is designed to probe attention, inhibition, speed, consistency, or working memory.
Technology
RETINA uses controlled cognitive tasks to elicit informative eye movements, pupil responses, and reaction-time signals, then synchronizes those signals with stimulus timing to generate objective neurocognitive metrics.
Eye movements are most informative when the system knows what the person was asked to do, what stimulus appeared, when it appeared, where it appeared, and how the person responded. RETINA controls that context.
Each trial is designed to probe attention, inhibition, speed, consistency, or working memory.
Stimulus events, gaze behavior, pupil windows, and manual responses are aligned at the trial level.
Reports preserve data quality, task context, and audit trails instead of reducing the session to a black-box score.
The operator launches a structured session and confirms the participant can complete the task.
RETINA displays controlled cues and targets with defined timing and locations.
The system records eye movements, pupil dynamics, manual responses, blinks, and timing metadata.
Algorithms compute trial-level and aggregate measures of speed, consistency, inhibition, attention, cognitive load, and data validity.
Outputs can support research review, longitudinal monitoring, and future regulated clinical workflows.
A composite measure designed to summarize speed and cognitive control during structured task performance.
Saccadic and manual response timing under controlled cognitive conditions.
Consistency, inhibition, distractibility, and response regulation under cognitive load.
Headset-based delivery can reduce room-level distractions, standardize visual presentation, place sensors close to the eyes, and support scalable deployment beyond specialized laboratory settings.
Current prototypes use headset-based delivery. Future deployments may evolve as hardware, sensors, and validation requirements mature.