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Neural processes for learning and mo...

Noyce, Abigail LaBombard.

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Neural processes for learning and monitoring sequential regularities in changeable environments.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Neural processes for learning and monitoring sequential regularities in changeable environments./
作者:	Noyce, Abigail LaBombard.
面頁冊數:	108 p.
附註:	Source: Dissertation Abstracts International, Volume: 75-06(E), Section: B.
Contained By:	Dissertation Abstracts International75-06B(E).
標題:	Cognitive psychology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3611649
ISBN:	9781303725449

Neural processes for learning and monitoring sequential regularities in changeable environments.
Noyce, Abigail LaBombard.

Neural processes for learning and monitoring sequential regularities in changeable environments. - 108 p.

Source: Dissertation Abstracts International, Volume: 75-06(E), Section: B.

Thesis (Ph.D.)--Brandeis University, 2014.

This item is not available from ProQuest Dissertations & Theses.

The world is largely stable and predictable. Humans and other organisms are sensi- tive to that stability, and use it to support cognitive processes. This work consists of a series of studies that explore how humans learn about such stability, use that infor- mation to generate predictions about forthcoming sensory input, and detect when such predictions are inadequate. First, I present a modeling study that quantified the distributions of errors that people make on a complex, visuomotor sequence learning task, and examine the serial position dynamics of several parameters describing short-term visual memory. Both precision and capacity for these sequences increases with familiarity, and the worst-represented items show the largest increases. Next, I present an experiment that used the same task to understand the effects of deviant items within familiar sequences. By measuring ERPs to new, familiar, and deviant items, I dissociate the neural activity associated with detecting a deviant from that associated with encoding task-relevant stimulus characteristics. Finally, I present an experiment investigating the role of prediction in a task that is stochastic, rather than sequential, and in which deviant events occurred among the distractors rather than among the task-relevant stimuli. Unexpected events among the distractors seem to obligatorily attract attention, enhancing or impairing performance. Further, I show that the individual differences in the neural response to such unexpected events is predicted by temperament. Together, these studies illuminate how the brain learns about predictability in a range of settings, and leverages such predictability to facilitate cognition.

ISBN: 9781303725449Subjects--Topical Terms:

523881
Cognitive psychology.

Neural processes for learning and monitoring sequential regularities in changeable environments.
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