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Full-Text Articles in Computational Neuroscience
Memoir Dataset: Quantifying Image Memorability In Adolescents, Gal Almog, Yalda Mohsenzadeh
Memoir Dataset: Quantifying Image Memorability In Adolescents, Gal Almog, Yalda Mohsenzadeh
Undergraduate Student Research Internships Conference
Every day, humans observe and interact with hundreds of images and scenes; whether it be on a cellphone, on television, or in print. Yet a vast majority of these images are forgotten, some immediately and some after variable lengths of time. Memorability is indeed a property intrinsic to all images that can be extracted, as well as predicted. While memory itself is a process that occurs in the brain of an individual, the concept of memorability is an intrinsic, continuous property of a stimulus that can be both measured and manipulated. We selected images from the MemCat data set that …
Reflexivity In Financial Markets: A Neuroeconomic Examination Of Uncertainty And Cognition In Financial Markets, Steven Pikelny
Reflexivity In Financial Markets: A Neuroeconomic Examination Of Uncertainty And Cognition In Financial Markets, Steven Pikelny
Senior Projects Spring 2011
Financial markets exist to disperse the risks of an unknown future in an economy. But for this process to work in an optimal fashion, investors – and subsequently markets – must have a way to interpret uncertainty. The investor rationality and market efficiency literature utilizes a methodology inadequate to address this fact, so I supplement it with the perspectives of epistemology, economic sociology, neuroscience, cognitive science, and philosophy of mind. This approach suggests that what is commonly viewed as market “inefficiency” is not necessarily caused by investor irrationality, but rather by the inherent nature of the epistemological problem faced by …