Operant Chambers
Operant Chambers - Related Videos
08:32
Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut
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Cited by 9 •
2020
This protocol describes how to build a small and versatile video camera, and how to use videos obtained from it to train a neural network to track the position of an animal inside operant conditioning chambers. This is a valuable complement to standard analyses of data logs obtained from operant conditioning tests.
10:16
Design and Operation of a Continuous 13C and 15N Labeling Chamber for Uniform or Differential, Metabolic and Structural, Plant Isotope Labeling
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Cited by 39 •
2014
This method explains how to build and operate a continuous 13C and 15N isotope labeling chamber for uniform or differential plant tissue labeling. Representative results from metabolic and structural labeling of Andropogon gerardii are discussed.
07:57
Operating the Glovebox
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2023
Robert M Rioux, Ajay Sathe, Zhifeng Chen, Pennsylvania State University, University Park, PA A glovebox is an isolated enclosure that is designed to maintain an inert atmosphere. The manipulation of chemicals or apparatus is done via the use of gloves, which allow operation while still maintaining an inert atmosphere. A positive pressure is utilized to compensate for any passive leaks. Objects can be transferred in and out of the box using an antechamber that acts as an airlock between the box...
09:02
Building and Operating a Low-Cost Elevated Carbon Dioxide Growth Chamber to Evaluate Microgreen Physiology under Spaceflight-Relevant CO2 Levels
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2026
This protocol describes how to construct and operate a small, low-cost growth chamber capable of maintaining extreme carbon dioxide (exCO2) levels for plant experiments. The chamber enables reproducible studies of microgreen physiology under spaceflight-relevant atmospheric conditions, using a single-board computer-based monitoring and control system and a passive hydroponic wicking system.
08:39
Operant Sensation Seeking in the Mouse
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Cited by 27 •
2010
In this protocol we describe a method of operant learning using sensory stimuli as a reinforcer in the mouse. It requires no prior training or food restriction, and it allows the study of motivated behavior without the use of a pharmacological or natural reinforcer such as food.
FAQs
Programmed reinforcement schedules determine when a response produces food, water, or drug delivery. Lights and tones can signal the current response requirement, allowing researchers to examine how behavior changes when consequences or environmental cues change. Comparing response patterns across schedules helps separate effects on behavioral control from simple changes in the availability of a reinforcer.
Response rate, choice, latency, and drug self-administration provide complementary measures of drug effects. Response rate reflects changes in ongoing performance, latency captures how quickly an animal initiates a response, and choice shows preference between available alternatives. Examining these outcomes across doses and conditions can reveal changes in motivation, learning, or behavioral control.
A compound’s behavioral effect may vary with dose and with the conditions under which responses are reinforced or signaled. Researchers therefore compare doses and experimental conditions rather than relying on a single observation. This approach helps determine whether altered responding reflects changes in motivation, sensitivity to consequences, or interactions between pharmacological treatment and environmental cues.
A typical workflow establishes a defined response, such as lever pressing, and programs its consequence and signaling cues. The researcher then administers a compound, tests selected doses or conditions, and records behavior with software. Response rates, choice, latency, or self-administration outcomes are compared across sessions to characterize treatment-related changes.
The apparatus commonly includes a response device such as a lever, a means of delivering food, water, or a drug, and lights or tones that signal response requirements. Software controls the programmed reinforcement schedule and records behavior. Together, these components provide standardized conditions for comparing responses across doses, treatments, and experimental conditions.
Behavioral results from these studies help characterize drug effects, reinforcement, abuse potential, and interactions between treatments and environmental cues. Drug self-administration can provide information about reinforcing effects, while changes in response rate, choice, or latency describe broader behavioral consequences. These outcomes support preclinical evaluation of neuroactive medicines before further development.