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Neuroscience

A study utilizing AI in brain imaging investigation discovers children’s neural patterns associated with sex and gender.

Scientists from the University of Pennsylvania and Feinstein Institutes for Medical Research have published a study showing new insights into how sex and gender are represented in the brains of children. The study emphasizes the difference between sex, defined as physiological characteristics present at birth, and gender, which is a spectrum of attitudes, feelings, and…

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The conference emphasizes the magnitude of the mental health issue and innovative approaches to identifying and treating it.

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The brain’s language network has to exert more effort when dealing with complicated and unfamiliar sentences.

Researchers from MIT, led by neuroscience associate professor Evelina Fedorenko, have used an artificial language network to identify which types of sentences most effectively engage the brain’s language processing centers. The study showed that sentences of complex structure or unexpected meaning created strong responses, while straightforward or nonsensical sentences did little to engage these areas.…

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The brain’s language network has to exert more effort when dealing with sentences that are intricate and unknown.

Researchers from MIT have been using a language processing AI to study what type of phrases trigger activity in the brain's language processing areas. They found that complex sentences requiring decoding or unfamiliar words triggered higher responses in these areas than simple or nonsensical sentences. The AI was trained on 1,000 sentences from diverse sources,…

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The brain’s language network has to put in more effort when dealing with complex and unfamiliar sentences.

Scientists from MIT have used an artificial language network to investigate the types of sentences likely to stimulate the brain's primary language processing areas. The research shows that more complicated phrases, owing to their unconventional grammatical structures or unexpected meanings, generate stronger responses in these centres. However, direct and obvious sentences prompt barely any engagement,…

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Intricate and unfamiliar phrases require more effort from the brain’s language processing system.

With the assistance of an artificial language network, MIT neuroscientists have discovered what types of sentences serve to stimulate the brain's primary language processing regions. In a study published in Nature Human Behavior, they revealed that these areas respond more robustly to sentences that display complexity, either due to unconventional grammar or unexpected meaning. Evelina Fedorenko,…

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The language network of our brain has to exert more effort when dealing with intricate and unfamiliar sentences.

Neuroscientists at MIT, with the aid of an artificial language network, have determined the type of sentences that most likely activate the brain's main language processing centers. The recently published study demonstrates that sentences which are more complex, either due to exceptional grammar or unexpected meanings, stimulate stronger responses in these regions. On the other…

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Intricate and unfamiliar phrases cause the brain’s language system to exert more effort.

In collaboration with an artificial language network, neuroscientists at Massachusetts Institute of Technology (MIT) have revealed what type of sentences most significantly engage the brain’s primary language processing areas. The study indicates that sentences featuring unusual grammar or unexpected meaning trigger a heightened response in these language-oriented regions, as opposed to more straightforward phrases, which…

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Unfamiliar and complex sentences increase the workload on the brain’s language processing system.

Using an artificial language network, MIT neuroscientists have found that sentences with unusual grammar or unexpected meanings tend to strongly activate the brain's key language processing centers. In contrast, straightforward sentences cause only minimal engagement of these regions, as do nonsensical sequences of words. The researchers discovered this by analyzing how human participants' brain network…

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The language network in the brain is challenged more when dealing with intricate and new sentences.

Neuroscientists at MIT, assisted by an artificial language network, have discovered that complex sentences with unusual grammar or unexpected meaning, stimulate the brain's key language processing centres more effectively. Interestingly, both straightforward sentences and nonsensical sequences of words had minimal engagement in these regions. The findings were part of a study led by MIT graduate…

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