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Seeing is feeling – How Artificial Intelligence is helping us understand emotions
Recently published research supported by NIMH and NIDA sheds light on how our brains process visual information with emotional features by incorporating machine-learning innovations and human brain-imaging. The researchers started with an existing neural network, AlexNet, which enables computers to recognize objects and adapted it using prior research that identified stereotypical emotional responses to images. This new network, EmoNet, was then asked to categorize 25,000 images into 20 categories such as craving, sexual desire, horror, awe and surprise. EmoNet could accurately and consistently categorize 11 of the emotion types and reliably rate the emotional intensity of the images.
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How Connections with Coworkers Affect Our Reaction to Toxic Management
Differences in attachment style can drive the way we bond with our colleagues, making all the difference under unsupportive, or outright abusive, management.
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Video: APS Panel Discusses Nexus of Impact and Life
Can social science’s impact be boiled down to improving and enriching lives? In recent years, there has been an uptake in requirements from funders across the globe to prove impact of scholarly work, and simultaneously, intensified scrutiny about the value of social and behavioral science.
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You 2.0: Rebel With A Cause
A few years ago, social scientist Francesca Gino was browsing the shelves at a bookstore when she came across an unusual-looking book in the cooking section: Never Trust a Skinny Italian Chef by Massimo Bottura. The recipes in it were playful, quirky — and improbable. Snails were paired with coffee sauce, veal tongue with charcoal powder. Francesca, who is Italian, says remixing classic recipes like this is a kind of heresy in Italian cooking. "We really cherish the old way," she says.
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‘Mind in Motion’ Review: No Ideas but in Things
How are we to think of how we think? Are our minds a separate internal world in which we manipulate mere proxies—symbols, ideas, representations—for real things? Are they software running in the brain whose connection to the real, “external” world is then a further mystery in need of explanation? Or is it rather that we are embodied all the way down, such that even our most abstract thoughts—about mathematics, say, or relations between ideas—are still creatures of our creaturely nature? In “Mind in Motion,” the distinguished cognitive scientist Barbara Tversky makes the case that our embodiment as living, acting creatures is no mere add-on to our problem-solving cognitive capacities.
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Become a Tenure-Track Scientist Within the NIH Intramural Research Program
Psychological scientists interested in a tenure-track research position within the National Institutes of Health (NIH) will want to know about a unique opportunity to earn a position via an innovative application initiative. Now in its 11th year, the NIH Earl Stadtman Investigators Program offers tenure-track positions to researchers conducting cutting-edge behavioral or biomedical science. These positions are housed with the NIH intramural research program, which is NIH’s internal research wing. “The Stadtman Tenure-Track Investigators search seeks to identify talent through a broad search that can focus on specific areas of science or enable the candidates to bring their ideas to us.
