Learning Flexibility
Learning Flexibility - Related Videos
11:32
A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning
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Cited by 5 •
2022
We have developed a single platform to track animal behavior during two climbing fiber-dependent associative learning tasks. The low-cost design allows integration with optogenetic or imaging experiments directed towards climbing fiber-associated cerebellar activity.
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.
03:47
Implantation of a Flexible Biocompatible Probe in a Glioblastoma Mouse Model
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2025
Source: Lefevre, M. C., et al., Flexible Organic Electronic Devices for Pulsed Electric Field Therapy of Glioblastoma. J. Vis. Exp. (2022)This video demonstrates the implantation of a flexible, biocompatible probe in a glioblastoma mouse model to deliver targeted pulsed electric field therapy for neurotherapeutic applications.
08:52
Novel Object Recognition Test for the Investigation of Learning and Memory in Mice
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Cited by 797 •
2017
The object recognition test (ORT) is a simple and efficient assay for evaluating learning and memory in mice. The methodology is described below.
10:06
An Introduction to Learning and Memory
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2023
Learning is the process of acquiring new information and memory is the retention or storage of that information. Different types of learning, such as non-associative and associative learning, and different types of memory, such as long-term and short-term memory, have been associated with human behaviors. Studying these components in detail helps behavioral scientists understand the neural mechanisms behind these two complex phenomena. JoVE's overview on learning and memory introduces common...
FAQs
Feedback indicates whether a behavior still produces a useful outcome. Organisms can then update the association between an action and its consequence, increasing or decreasing the likelihood of repeating that action. This experience-dependent updating allows behavior to track current conditions instead of relying only on associations formed under earlier environmental circumstances.
A response that once produced a favorable consequence can become ineffective after environmental conditions or goals shift. Learning flexibility requires reducing control by that outdated response while allowing alternative actions to guide behavior. This suppression helps distinguish adaptive adjustment from rigid repetition and supports more effective choices when earlier success no longer predicts current outcomes.
Changes in goals alter which outcomes matter, while changes in consequences alter what actions achieve. By incorporating this information, organisms can revise their behavior even when the physical environment has not changed completely. Studying these shifts reveals how decision-making and cognitive control contribute to selecting strategies that remain aligned with current demands.
Flexible behavior changes when associations between actions and outcomes become unreliable or when circumstances demand a new strategy. Rigid or habitual behavior instead continues to favor established responses despite altered conditions. Comparing these patterns helps behavioral researchers determine whether an organism is using current feedback to guide action or repeating behavior based primarily on past success.
Researchers measure it by examining whether behavior changes after environmental conditions, goals, or consequences are altered. Tasks can reveal whether an organism shifts strategies, suppresses a previously successful response, and acquires a new one. Comparisons across tasks and species help identify common features of behavioral adjustment without treating repeated responding alone as evidence of inflexibility.
These studies can show how effectively an organism updates action-outcome associations, responds to feedback, and replaces an outdated strategy. The resulting behavioral patterns help distinguish adaptive adjustment from persistence of an old response. They also provide evidence relevant to decision-making, cognitive control, and the broader problem of responding effectively in changing environments.
Comparisons across tasks and species help researchers determine which features of flexible adjustment are broadly shared and which depend on particular behavioral demands. Such work places individual findings within a wider study of adaptation, strategy updating, and response to changing conditions. It also supports more careful interpretation of whether a pattern reflects general flexibility or task-specific behavior.
Behavioral measures provide observable evidence of strategy updating, response suppression, and new learning after conditions change. These patterns can then inform investigations of the neural processes that support such adjustments. In this way, research links changes in action and outcome use to cognitive control and the biological systems involved in adapting behavior to current circumstances.