"Social interactions require fast and efficient person perception, which is best achieved through the process of categorization. However, this process can produce pernicious outcomes, particularly in the case of stigma. This study used fMRI to investigate the neural correlates involved in forming both explicit ("Do you like or dislike this person?") and implicit ("Is this a male or female?") judgments of people possessing well-established stigmatized conditions (obesity, facial piercings, transsexuality, and unattractiveness), as well as normal controls. Participants also made post-scan disgust ratings on all the faces that they viewed during imaging. These ratings were subsequently examined (modeled linearly) in a parametric analysis. Regions of interest that emerged include areas previously demonstrated to respond to aversive and disgust-inducing material (amygdala and insula), as well as regions strongly associated with inhibition and control (anterior cingulate and lateral prefrontal cortex). Further, greater differences in activation were observed in the implicit condition for both the amygdala and prefrontal cortical regions in response to the most negatively perceived faces. Specifically, as subcortical responses (e.g., amygdala) increased, cortical responses (e.g., lateral PFC and anterior cingulate) also increased, indicating the possibility of inhibitory processing. These findings help elucidate the neural underpinnings of stigma"
A new algorithm may give quantum computers a new, practical job: quickly solving monster linear equations. Such problems are at the heart of complex processes such as image and video processing, genetic analyses and even Internet traffic control.
"Explore simultaneously in space and time with Time Machine
Each Time Machine on this page captures a process in extreme detail over space and time, with billions of pixels of explorable resolution. Choose a time machine and zoom into the image while traveling backwards or forwards through time. Select a Time Warp and the time machine's authors will take you on a guided space-time tour with text annotations explaining what you are viewing. You can even learn how to create your own Time Machines and Warps."
"Researchers at MIT's McGovern Institute for Brain Research have developed a new mathematical model to describe how the human brain visually identifies objects. The model accurately predicts human performance on certain visual-perception tasks, which suggests that it's a good indication of what actually happens in the brain, and it could also help improve computer object-recognition systems."
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