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A novel task for the investigation of action acquisition.

Stafford T, Thirkettle M, Walton T, Vautrelle N, Hetherington L, Port M, Gurney K, Redgrave P - PLoS ONE (2012)

Bottom Line: The task allows the study of how the specific elements of behaviour which cause the reinforcing signal are identified, refined and stored by the participant.Most importantly it allows for repeated measures, since when a novel action is acquired the criterion for triggering reinforcement can be changed requiring a new action to be discovered.Here, we present data using both humans and rats as subjects, showing that our task is easily scalable in difficulty, adaptable across species, and produces a rich set of behavioural measures offering new and valuable insight into the action learning process.

View Article: PubMed Central - PubMed

Affiliation: Department of Psychology, University of Sheffield, Sheffield, United Kingdom. t.stafford@shef.ac.uk

ABSTRACT
We present a behavioural task designed for the investigation of how novel instrumental actions are discovered and learnt. The task consists of free movement with a manipulandum, during which the full range of possible movements can be explored by the participant and recorded. A subset of these movements, the 'target', is set to trigger a reinforcing signal. The task is to discover what movements of the manipulandum evoke the reinforcement signal. Targets can be defined in spatial, temporal, or kinematic terms, can be a combination of these aspects, or can represent the concatenation of actions into a larger gesture. The task allows the study of how the specific elements of behaviour which cause the reinforcing signal are identified, refined and stored by the participant. The task provides a paradigm where the exploratory motive drives learning and as such we view it as in the tradition of Thorndike [1]. Most importantly it allows for repeated measures, since when a novel action is acquired the criterion for triggering reinforcement can be changed requiring a new action to be discovered. Here, we present data using both humans and rats as subjects, showing that our task is easily scalable in difficulty, adaptable across species, and produces a rich set of behavioural measures offering new and valuable insight into the action learning process.

Show MeSH
Task difficulty can be calibrated by adjusting target size Performance shown for different targets.Human subjects (N = ).
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pone-0037749-g006: Task difficulty can be calibrated by adjusting target size Performance shown for different targets.Human subjects (N = ).

Mentions: Figure 6 shows that the task is easily scalable in difficulty, in this case by adjusting the size of a spatially defined target. This means the task has the potential to be individually calibrated for difficulty, so that all subjects can be recorded while attempting the task at the limit of their abilities. Thus the task can be adapted to different populations, for example children or groups with neuropsychological conditions.


A novel task for the investigation of action acquisition.

Stafford T, Thirkettle M, Walton T, Vautrelle N, Hetherington L, Port M, Gurney K, Redgrave P - PLoS ONE (2012)

Task difficulty can be calibrated by adjusting target size Performance shown for different targets.Human subjects (N = ).
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3366962&req=5

pone-0037749-g006: Task difficulty can be calibrated by adjusting target size Performance shown for different targets.Human subjects (N = ).
Mentions: Figure 6 shows that the task is easily scalable in difficulty, in this case by adjusting the size of a spatially defined target. This means the task has the potential to be individually calibrated for difficulty, so that all subjects can be recorded while attempting the task at the limit of their abilities. Thus the task can be adapted to different populations, for example children or groups with neuropsychological conditions.

Bottom Line: The task allows the study of how the specific elements of behaviour which cause the reinforcing signal are identified, refined and stored by the participant.Most importantly it allows for repeated measures, since when a novel action is acquired the criterion for triggering reinforcement can be changed requiring a new action to be discovered.Here, we present data using both humans and rats as subjects, showing that our task is easily scalable in difficulty, adaptable across species, and produces a rich set of behavioural measures offering new and valuable insight into the action learning process.

View Article: PubMed Central - PubMed

Affiliation: Department of Psychology, University of Sheffield, Sheffield, United Kingdom. t.stafford@shef.ac.uk

ABSTRACT
We present a behavioural task designed for the investigation of how novel instrumental actions are discovered and learnt. The task consists of free movement with a manipulandum, during which the full range of possible movements can be explored by the participant and recorded. A subset of these movements, the 'target', is set to trigger a reinforcing signal. The task is to discover what movements of the manipulandum evoke the reinforcement signal. Targets can be defined in spatial, temporal, or kinematic terms, can be a combination of these aspects, or can represent the concatenation of actions into a larger gesture. The task allows the study of how the specific elements of behaviour which cause the reinforcing signal are identified, refined and stored by the participant. The task provides a paradigm where the exploratory motive drives learning and as such we view it as in the tradition of Thorndike [1]. Most importantly it allows for repeated measures, since when a novel action is acquired the criterion for triggering reinforcement can be changed requiring a new action to be discovered. Here, we present data using both humans and rats as subjects, showing that our task is easily scalable in difficulty, adaptable across species, and produces a rich set of behavioural measures offering new and valuable insight into the action learning process.

Show MeSH