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Angela J. Yu
Researcher at University of California, San Diego
Publications - 85
Citations - 5319
Angela J. Yu is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Bayesian inference & Inference. The author has an hindex of 23, co-authored 81 publications receiving 4670 citations. Previous affiliations of Angela J. Yu include University of California & University of California, San Francisco.
Papers
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Uncertainty, neuromodulation, and attention.
Angela J. Yu,Peter Dayan +1 more
TL;DR: This formulation is consistent with a wealth of physiological, pharmacological, and behavioral data implicating acetylcholine and norepinephrine in specific aspects of a range of cognitive processes and suggests a class of attentional cueing tasks that involve both neuromodulators and how their interactions may be part-antagonistic, part-synergistic.
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Should I stay or should I go? How the human brain manages the trade-off between exploitation and exploration
TL;DR: A brief review of work on exploration versus exploitation is provided, how exploration and exploitation may be mediated in the brain is discussed and some promising future directions for research are highlighted.
Journal ArticleDOI
Phasic norepinephrine: a neural interrupt signal for unexpected events.
Peter Dayan,Angela J. Yu +1 more
TL;DR: It is proposed that it is unexpected changes in the world within the context of a task that activate the noradrenergic interrupt signal, and this idea is quantified in a Bayesian model of a well-studied visual discrimination task, demonstrating that the model captures a rich repertoire of nor adrenergic responses at the sub-second temporal resolution.
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Upregulation of Cyclin B1 by miRNA and its implications in cancer
Vera Huang,Robert F. Place,Victoria Portnoy,Ji Wang,Zhongxia Qi,Zhe-Jun Jia,Angela J. Yu,Marc A. Shuman,Jingwei Yu,Long-Cheng Li +9 more
TL;DR: The findings reveal an endogenous system by which miRNA functions to activate Ccnb1 expression in mouse cells and manipulate in vivo tumor development/growth.
Proceedings Article
Sequential effects: Superstition or rational behavior?
Angela J. Yu,Jonathan D. Cohen +1 more
TL;DR: It is shown that prior belief in non-stationarity can induce experimentally observed sequential effects in an otherwise Bayes-optimal algorithm, and parameter-tuning of the leaky-integration process is possible, using stochastic gradient descent based only on the noisy binary inputs.