Operant Training
Operant Training - Related Videos
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.
06:57
Pavlovian Conditioned Approach Training in Rats
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Cited by 30 •
2016
Here, we present a protocol to elicit Pavlovian conditioned approach behavior in rats. This procedure can be used to measure individual differences in the tendency to approach and attribute incentive salience to reward-related cues and investigate addiction vulnerability.
08:30
Operant Procedures for Assessing Behavioral Flexibility in Rats
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Cited by 69 •
2015
The ability to assess executive functions such as behavioral flexibility in rats is useful for investigating the neurobiology of cognition in both intact animals and disease models. Here we describe automated tasks for assessing strategy shifting and reversal learning, which are particularly sensitive to disruptions in prefrontal cortical networks.
07:43
Quantifying Social Motivation in Mice Using Operant Conditioning
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Cited by 35 •
2015
This article describes a new protocol for the quantitative measurement of social motivation in mice using operant conditioning for a social reward. The protocol is useful for the measurement of social motivation in mouse models of autism and other disorders of social behavior.
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...
FAQs
The consequence assigned to a response determines whether that behavior becomes more or less likely. Reinforcement strengthens a desired action, whereas punishment reduces an unwanted action. When reinforcement is absent, a response can also decline. Comparing these consequence conditions lets researchers measure how behavioral performance changes and identify which outcomes most effectively influence learning.
Shaping builds a complex behavior gradually by reinforcing successive approximations, meaning responses that increasingly resemble the target action. This approach avoids requiring the complete behavior at the start and allows training to progress through manageable steps. In neuroscience experiments, shaping helps establish reliable behavioral responses that can later be measured alongside brain function.
Controlled cues indicate when a response is relevant, while reinforcement schedules determine how consequences are delivered across training. Varying these elements gives researchers a structured way to examine performance, reward processing, and motivation. Because the cues, responses, and schedules are controlled, changes in behavior can be related more clearly to the learning conditions.
A basic procedure links a controlled cue to an observable response and then assigns a planned consequence, such as reinforcement or punishment. Researchers can introduce shaping when the target response is complex and select a reinforcement schedule to organize delivery. Repeated measurement of performance across these conditions provides a behavioral record for studying learning.
Operant training creates controlled situations in which an individual chooses or performs responses and experiences their consequences. Researchers can then examine how performance changes as reward-related conditions vary. These behavioral patterns provide a way to study reward processing, motivation, and decision-making, while also helping connect observed actions with the neural circuits involved in learning.
The method produces observable performance under controlled cues, responses, and reinforcement conditions, making it useful for assessing behavior in animal models. Researchers can compare how animals acquire or modify responses and relate those outcomes to changes in brain function. This connection between measurable behavior and neural activity supports investigations of learning and its underlying circuits.