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Related Experiment Video

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An Open Source Platform for Presenting Dynamic Visual Stimuli.

Kyra Swanson¹, Samantha R White¹, Michael W Preston¹

¹Department of Neuroscience, American University, Washington, DC 20016.

|April 3, 2021

Summary

Researchers developed an affordable, open-source platform for visual stimulus presentation in operant behavior studies. This system enables complex, visually-guided tasks in rodents, offering a customizable and cost-effective alternative.

Keywords:

Arduino decision making discrimination open source psychophysics visual

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Published on: May 12, 2019

Area of Science:

Neuroscience
Behavioral Science
Biomedical Engineering

Background:

Operant behavior research commonly utilizes visual stimuli for response control and discrimination.
Existing visual stimulus systems for rodent studies are often expensive, proprietary, and lack customization.
Primate and human studies typically employ advanced displays like LCD or OLED, which are less common or adaptable in rodent research.

Purpose of the Study:

To develop an open-source, customizable, and low-cost platform for presenting visual stimuli in operant conditioning paradigms.
To integrate this platform with a 3D-printed operant response device for rodent studies.
To demonstrate the platform's capability in training rats for visually-guided operant tasks.

Main Methods:

Designed and implemented an open-source visual stimulus presentation platform utilizing an 8x8 LED matrix, expandable to larger arrays.
Combined the LED matrix platform with a 3D-printed operant response device.
Trained laboratory rats to perform nosepoke responses and discriminate between two visual cues using the developed system.

Main Results:

Successfully developed a low-cost (<$70 USD per device in 2020) and highly modifiable visual stimulus platform.
Demonstrated the platform's efficacy in training rats for location-independent visual discrimination tasks.
The system supports complex visual stimuli, including dynamic and moving patterns.

Conclusions:

The developed open-source platform provides a cost-effective solution for implementing sophisticated visually-guided operant behavior in rodents.
This system overcomes limitations of commercial, closed-source alternatives, offering greater flexibility and affordability.
The platform facilitates advanced behavioral neuroscience research by enabling precise control over visual cues.