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a collaborative knowledge base characterizing the state of current thought in Cognitive Science.
is a feedback driven classification learning task in which a subject is presented with a stimuli (ex-geometric shapes) and has to classify them into one of two categories (ex-rainy or sunny weather), and then receives feedback on if the response was correct or incorrect. This may or may not be presented with other stimuli (ex-tones of different frequencies), but the goal of the task is to only pay attention the the classification task at hand.


Definition contributed by Anonymous
single-task weather prediction has been asserted to measure the following CONCEPTS
Phenotypes associated with single-task weather prediction

Disorders

No associations have been added.

Traits

No associations have been added.

Behaviors

No associations have been added.


IMPLEMENTATIONS of single-task weather prediction
No implementations have been added.
EXTERNAL DATASETS for single-task weather prediction
Classification learning and reversal
Classification learning and tone-counting
CONDITIONS

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

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.

INDICATORS

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).

Term BIBLIOGRAPHY

Interactive memory systems in the human brain.
Poldrack RA, Clark J, Paré-Blagoev EJ, Shohamy D, Creso Moyano J, Myers C, Gluck MA
Nature (Nature)
2001 Nov 29

Modulation of competing memory systems by distraction.
Foerde K, Knowlton BJ, Poldrack RA
Proceedings of the National Academy of Sciences of the United States of America (Proc Natl Acad Sci U S A)
2006 Aug 1