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This task involves repeatedly predicting the next in a sequence of numbers. The inference problem is embedded in a cover task in which the number corresponded to the horizontal position at which a bag of money would drop from a helicopter concealed behind clouds. The objective is to catch coins in a bucket by predicting where the bag lands, and this is equivalent to inferring the generative mean (i.e., the position of the helicopter) and centering the bucket at that position. Learning rate can be measured by the shift in the participant's prediction and the prediction error.

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predictive-inference helicopter task has been asserted to measure the following CONCEPTS
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Phenotypes associated with predictive-inference helicopter task


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EXTERNAL DATASETS for predictive-inference helicopter task
Functionally Dissociable Influences on Learning Rate in a Dynamic Environment

Experimental conditions are the subsets of an experiment that define the relevant experimental manipulation.


You must specify conditions before you can define contrasts.

In the Cognitive Atlas, we define a contrast as any function over experimental conditions. The simplest contrast is the indicator value for a specific condition; more complex contrasts include linear or nonlinear functions of the indicator across different experimental conditions.


No indicators have yet been associated.

An indicator is a specific quantitative or qualitative variable that is recorded for analysis. These may include behavioral variables (such as response time, accuracy, or other measures of performance) or physiological variables (including genetics, psychophysiology, or brain imaging data).


Functionally dissociable influences on learning rate in a dynamic environment.
McGuire JT, Nassar MR, Gold JI, Kable JW
Neuron (Neuron)
2014 Nov 19