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Statistical Learning as a Novel Intervention for Cortical Blindness
Sponsor: University of Rochester
Summary
This project aims to develop a novel visual training paradigm for use in visually-intact participants and those sufferings from stroke-induced visual impairments. Our task design is built upon theories of statistical learning to reduce the overall training burden while still producing profound improvements to visual abilities. Efficacy will be first established in visually-intact controls before testing in stroke survivors to assess the feasibility of this form of learning in the damaged visual system.
Key Details
Gender
All
Age Range
21 Years - 75 Years
Study Type
INTERVENTIONAL
Enrollment
30
Start Date
2024-11-06
Completion Date
2027-10-01
Last Updated
2026-01-30
Healthy Volunteers
Yes
Conditions
Interventions
Vision Training and Learning Task
Participants will be seated at a computer, and will be shown a random-noise visual stimulus drifting in one of eight directions. Participants will be instructed to indicate the direction of motion they perceive using a Sony Access Controller or a computer keyboard. Sound cues during stimulus presentation will also be used to ensure participants are aware of stimulus onset during the training task. After several repetitions of this visual training, a second set of visual cues will be presented to evaluate participant's learning of the program. Responses will be provided in the same manner by input from the controller or the keyboard.
Locations (1)
University of Rochester Medical Center
Rochester, New York, United States