Daniel Bullard

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Discrete jumps in knowledge, as exemplified by single-trial learning, are critical to survival. Despite its importance, however, one-trial learning remains understudied. We sought to better understand the brain activity adaptations that track punctuated changes in associative knowledge by studying visual-motor associative learning with functional magnetic(More)
When presented with a problem-solving task, children sometimes fail to discern relevant pieces of information. Instead, they base their judgment on irrelevant information, sometimes ignoring corrective feedback. How could experience highlight relevant information? Using insights from complexity science, the current paper tests the usefulness of adding(More)
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