Tag Archives: brains

Dartmouth University: AI Recognizes Faces but Not Like the Human Brain

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Dartmouth University: AI Recognizes Faces but Not Like the Human Brain. “In a recent study published in the Proceedings of the National Academy of Sciences, a Dartmouth research team, in collaboration with the University of Bologna, investigated whether [Deep convolutional neural networks] can model face processing in humans. The results show that AI is not a good model for understanding how the brain processes faces moving with changing expressions because at this time, AI is designed to recognize static images.”

Stanford University: Just Like Your Brain, ChatGPT Solves Problems Better When It Slows Down

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Stanford University: Just Like Your Brain, ChatGPT Solves Problems Better When It Slows Down. “When presented with a problem, your brain has two ways to proceed: quickly and intuitively or slowly and methodically. These two types of processing are known as System 1 and System 2, or as the Nobel Prize-winning psychologist Daniel Kahneman memorably described them, ‘fast’ and ‘slow’ thinking. Large language models like ChatGPT move fast by default.”

Washington Post: Revealing The Smithsonian’s ‘Racial Brain Collection’

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Washington Post: Revealing The Smithsonian’s ‘Racial Brain Collection’. “The vast majority of the remains appear to have been gathered without consent from the individuals or their families, by researchers preying on people who were hospitalized, poor, or lacked immediate relatives to identify or bury them. In other cases, collectors, anthropologists and scientists dug up burial grounds and looted graves. The Natural History Museum has lagged in its efforts to return the vast majority of the remains in its possession to descendants or cultural heirs, The Post’s investigation found. Of at least 268 brains collected by the museum, officials have repatriated only four.”

Newswise: Classic rock music can be recreated from recorded brain activity

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Newswise: Classic rock music can be recreated from recorded brain activity. “Researchers led by Ludovic Bellier at the University of California, Berkeley, US, demonstrate that recognizable versions of classic Pink Floyd rock music can be reconstructed from brain activity that was recorded while patients listened to the song. Published August 15th in the open access journal PLOS Biology, the study used nonlinear modeling to decode brain activity and reconstruct the song, ‘Another Brick in the Wall, Part 1’. Encoding models revealed a new cortical subregion in the temporal lobe that underlies rhythm perception, which could be exploited by future brain-machine-interfaces.”

Yale News: Yale researchers encourage brain data reuse with CAROT

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Yale News: Yale researchers encourage brain data reuse with CAROT. “The ability to map connections between different regions of the brain has helped scientists better understand the brain’s relationship to behavior, how brains differ between people, and how they’re affected by disease. These maps, called connectomes, consist of imaging data superimposed on atlases that define the locations and borders of different brain regions. But there are many different versions of brain atlases, and a connectome built on one can’t be directly compared to one built on another. In a new study, Yale researchers have developed a publicly available tool that allows for those comparisons.”

STAT News: Social media risks for youth mental health highlighted in new surgeon general report

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STAT News: Social media risks for youth mental health highlighted in new surgeon general report. “Amid what he called the worst youth mental health crisis in recent memory, U.S. Surgeon General Vivek Murthy issued an advisory Tuesday warning about social media’s impact on developing young brains.”

The Conversation: Teenage brains are drawn to popular social media challenges – here’s how parents can get their kids to think twice

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The Conversation: Teenage brains are drawn to popular social media challenges – here’s how parents can get their kids to think twice. “Almost all American teens today have access to a smartphone and actively use multiple social media platforms – with YouTube, TikTok, Instagram and Snapchat being the most popular among this age group. Meanwhile, the teenage years are linked to an increase in risk-taking. The human brain isn’t fully developed until a person reaches their mid-20s, and the parts of the brain that relate to reward and doing what feels good develop more quickly than areas linked to decision-making.”

Berkeley News: ‘Raw’ data show AI signals mirror how the brain listens and learns

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Berkeley News: ‘Raw’ data show AI signals mirror how the brain listens and learns. “New research from the University of California, Berkeley, shows that artificial intelligence (AI) systems can process signals in a way that is remarkably similar to how the brain interprets speech, a finding scientists say might help explain the black box of how AI systems operate.”

Harvard Gazette: Using AI to target Alzheimer’s

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Harvard Gazette: Using AI to target Alzheimer’s. “Although investigators have made strides in detecting signs of Alzheimer’s disease using high-quality brain imaging tests collected as part of research studies, a team at Massachusetts General Hospital recently developed an accurate method that relies on routinely collected clinical brain images. The advance could lead to more accurate diagnoses.”

PsyPost: Habitual checking of social media linked to altered brain development in young adolescents

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PsyPost: Habitual checking of social media linked to altered brain development in young adolescents. “New neuroimaging research provides evidence that the frequency of checking social media during adolescent might influence how the brains of teenagers develop. The findings, published in JAMA Pediatrics, indicate the the use of social media is related to developmental changes in neural sensitivity to anticipation of social rewards and punishments.”

Brown University: Study offers neurological explanation for how brains bias partisans against new information

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Brown University: Study offers neurological explanation for how brains bias partisans against new information. “People who share a political ideology have more similar ‘neural fingerprints’ of political words and process new information in similar ways, according to a new analysis led by Brown University researchers.”

Western University: Western researchers develop new open-source app for precise brain mapping

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Western University: Western researchers develop new open-source app for precise brain mapping. “The hippocampus is a small, complex, folded brain structure that holds clues to several brain disorders. It is also one of the most difficult-to-map regions of the brain. After developing a successful technique to digitally unfold the hippocampus, researchers at the Western Institute for Neuroscience have now built a new app using artificial intelligence (AI) to precisely map the structure. As part of a team led by Schulich School of Medicine & Dentistry professor Ali Khan, former PhD student Jordan DeKraker has developed an open-source app, HippUnfold, which uses state-of-the-art AI to digitally unfold the hard-to-reach areas of the hippocampus.”

Phys .org: Artificial neural networks learn better when they spend time not learning at all

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Phys .org: Artificial neural networks learn better when they spend time not learning at all. “Artificial neural networks leverage the architecture of the human brain to improve numerous technologies and systems, from basic science and medicine to finance and social media. In some ways, they have achieved superhuman performance, such as computational speed, but they fail in one key aspect: When artificial neural networks learn sequentially, new information overwrites previous information, a phenomenon called catastrophic forgetting.”

University of Glasgow: Researchers Propose A Roadmap To Understand Whether AI Models And The Human Brain Process Things The Same Way

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University of Glasgow: Researchers Propose A Roadmap To Understand Whether AI Models And The Human Brain Process Things The Same Way. “Researchers use Deep Neural Networks, or DNNs, to model the processing of information, and to investigate how this information processing matches that of humans…. New research, published in the journal Trends in Cognitive Sciences and led by the University of Glasgow’s School of Psychology and Neuroscience, presents a new approach to understand whether the human brain and its DNN models recognise things in the same way, using similar steps of computations.”