OpenEyeSim: A biomechanical model for simulation of closed-loop visual perception.

Area of Science:

• Biomechanical modeling
• Computational neuroscience
• Ophthalmology

Background:

• Understanding the human oculomotor system is crucial for studying visual perception and motor control.
• Existing models may not fully capture the complexity of extraocular muscle dynamics and their role in the perception-action cycle.

Purpose of the Study:

• Introduce OpenEyeSim, a novel 3D biomechanical model of human extraocular muscles.
• Provide a platform for developing models of joint learning in visual representations and eye-movement control.
• Facilitate the study of oculomotor control and learning in normal and abnormal visual development.

Main Methods:

• Developed a detailed three-dimensional biomechanical model of human extraocular muscles.
• Incorporated a visualization of a virtual environment.
• Based model architecture and dynamic muscle properties on human oculomotor system measurements.

Main Results:

• The OpenEyeSim model successfully reproduces various types of human eye movements.
• The model can calculate the metabolic costs associated with eye movements.
• The model is capable of simulating different eye disorders, including forms of strabismus.

Conclusions:

• OpenEyeSim offers a robust platform for investigating the complexities of oculomotor control and learning.
• The model has applications in studying visual development, perception-action cycles, and ocular pathologies.
• This tool can advance research in both typical and atypical visual system development.