Network neuroscience theory best predictor of intelligence

 

Recent evidence in network neuroscience indicates that general intelligence may depend on system-wide network mechanisms, suggesting that the spatially localized predictions of standard theories may be necessary but not sufficient to account for the neural architecture of intelligence. To investigate this key theoretical issue, we directly compared the predictions of local versus global theories within a connectome-based predictive modeling framework, demonstrating that general intelligence can be predicted by local functional connectivity profiles but is most accurately explained by global profiles of whole-brain connectivity.

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The Cambridge Handbook of Intelligence and Cognitive Neuroscience

The Cambridge Handbook of Intelligence Cognitive Neuroscience reviews state-of-the-art research emerging from the rapidly developing neuroscience literature on human intelligence, with particular emphasis on theoretical innovation, methodological advances, and applications for research on cognitive enhancement, clinical translation, and education and public policy.

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Empathy in Artificial Intelligence

An article by Forbes features research on the neurobiology of emotional intelligence and addresses implications for the design of artificial intelligence.

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By imaging the brain, scientists can predict a person’s aptitude for training

U. of I. psychology professor Aron Barbey and his colleagues found that the relative size of specific brain regions predicted how much a person would benefit from interventions designed to enhance fluid intelligence.

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DARPA Awards $10M to Barbey and colleagues for projects on human performance optimization.

 


“Our goal in this project is to improve how the individual war fighter identifies, measures, and tracks personalized biomarkers and therefore to help them prepare more effectively for specialized roles in their military career” said Aron Barbey, a professor of psychology. “We will work closely with Lawrence Livermore National Laboratory as part of the test and evaluation team for the Measuring Biological Aptitude program.”

The Defense Advanced Research Projects Agency will fund two projects for research on human performance optimization within United States war fighters at the Beckman Institute for Advanced Science and Technology.

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Mensa honors Barbey for neuroscience research on human intelligence

 

For Neuroscience Research on the Network Architecture of Human Intelligence, Barbey Wins the Second Mensa Foundation Prize

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Advancing the Science of Human and Machine Intelligence: Forging Connections between Psychology, Neuroscience, and Engineering.

Barbey edits Special Issue in the Journal Intelligence, entitled “Advancing the Science of Human and Machine Intelligence: Forging Connections between Psychology, Neuroscience, and Engineering.”

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The Biological Roots of Intelligence

An article by The Scientist explores the biological roots of intelligence, featuring the Network Neuroscience Theory and contemporary research on human intelligence.

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Larger sample sizes needed to increase reproducibility in neuroscience studies

CHAMPAIGN, Ill. — Small sample sizes in studies using functional MRI to investigate brain connectivity and function are common in neuroscience, despite years of warnings that such studies likely lack sufficient statistical power. A new analysis reveals that task-based fMRI experiments involving typical sample sizes of about 30 participants are only modestly replicable. This means that independent efforts to repeat the experiments are as likely to challenge as to confirm the original results.

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