Information-seeking, curiosity, and attention: computational and neural mechanisms. Gottlieb, J., Oudeyer, P., Lopes, M., & Baranes, A. Trends in cognitive sciences, 17(11):585–93, November, 2013. ![Information-seeking, curiosity, and attention: computational and neural mechanisms. [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Intelligent animals devote much time and energy to exploring and obtaining information, but the underlying mechanisms are poorly understood. We review recent developments on this topic that have emerged from the traditionally separate fields of machine learning, eye movements in natural behavior, and studies of curiosity in psychology and neuroscience. These studies show that exploration may be guided by a family of mechanisms that range from automatic biases toward novelty or surprise to systematic searches for learning progress and information gain in curiosity-driven behavior. In addition, eye movements reflect visual information searching in multiple conditions and are amenable for cellular-level investigations. This suggests that the oculomotor system is an excellent model system for understanding information-sampling mechanisms.
@article{Gottlieb2013,
title = {Information-seeking, curiosity, and attention: computational and neural mechanisms.},
volume = {17},
issn = {1879-307X},
url = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4193662&tool=pmcentrez&rendertype=abstract},
doi = {10.1016/j.tics.2013.09.001},
abstract = {Intelligent animals devote much time and energy to exploring and obtaining information, but the underlying mechanisms are poorly understood. We review recent developments on this topic that have emerged from the traditionally separate fields of machine learning, eye movements in natural behavior, and studies of curiosity in psychology and neuroscience. These studies show that exploration may be guided by a family of mechanisms that range from automatic biases toward novelty or surprise to systematic searches for learning progress and information gain in curiosity-driven behavior. In addition, eye movements reflect visual information searching in multiple conditions and are amenable for cellular-level investigations. This suggests that the oculomotor system is an excellent model system for understanding information-sampling mechanisms.},
number = {11},
urldate = {2016-01-25},
journal = {Trends in cognitive sciences},
author = {Gottlieb, Jacqueline and Oudeyer, Pierre-Yves and Lopes, Manuel and Baranes, Adrien},
month = nov,
year = {2013},
pmid = {24126129},
keywords = {Animals, Artificial Intelligence, Attention, Attention: physiology, Brain, Brain: physiology, Exploratory Behavior, Exploratory Behavior: physiology, Humans, Information Seeking Behavior, Information Seeking Behavior: physiology, spontaneous behaviour},
pages = {585--93},
}
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