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Related Experiment Video

Updated: Feb 15, 2026

Author Spotlight: Exploring the Link Between Time Perception of Visual Stimuli and Reading Skills
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Interactive Light Stimulus Generation with High Performance Real-Time Image Processing and Simple Scripting.

László Szécsi1, Ágota Kacsó1, Günther Zeck2

  • 1Computer Graphics Research Group, Budapest University of Technology and Economics, Budapest, Hungary.

Frontiers in Neuroinformatics
|January 13, 2018
PubMed
Summary

We developed GEARS, a user-friendly software for precise light stimulation in neuroscience and ophthalmology. This GPU-accelerated framework simplifies complex visual stimulus generation and real-time control for researchers.

Keywords:
GPUlight stimuluspatterned illuminationpsychophysicsretinavideo processing

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Area of Science:

  • Neuroscience
  • Ophthalmology
  • Computational Vision

Background:

  • Precise spatial and temporal modulation of light stimulation is crucial for research in visual neuroscience, optogenetics, ophthalmology, and visual psychophysics.
  • Existing methods for generating complex visual stimuli can be cumbersome and require advanced programming skills.

Purpose of the Study:

  • To develop a user-friendly and flexible software framework for generating complex light stimuli.
  • To leverage GPU computing power for efficient stimulus generation and real-time parameter modification.
  • To provide built-in support for external equipment and synchronization tasks.

Main Methods:

  • Developed GEARS (GPU-based Eye And Retina Stimulation Software), a C++/Python hybrid utilizing OpenGL graphics.
  • Employed GPU computing and GLSL shading language for computations, with automatic generation of GPU settings and shader programs.
  • Implemented a game programming-inspired approach for stimulus composition using a library of basic components.
  • Utilized C++ for stimulus rendering to omit intermediary libraries and enable efficient processing.

Main Results:

  • GEARS offers an intuitive interface, reducing the need for elaborate programming skills.
  • The software allows interactive modification of stimulus parameters during experiments.
  • It supports external equipment control and synchronization via USB ports.
  • GEARS efficiently handles computationally demanding tasks such as en-masse random number generation and real-time image processing.

Conclusions:

  • GEARS provides a flexible, user-friendly, and powerful solution for generating complex visual stimuli.
  • The framework enhances experimental efficiency and accessibility for researchers in various visual science fields.
  • Its GPU acceleration and intuitive design facilitate advanced research in visual neuroscience and ophthalmology.