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Deep neural networks exhibit potential in modelling human auditory systems.

Artificial Intelligence, Brain and cognitive sciences, Hearing, Machine learning, McGovern Institute, National Institutes of Health (NIH), Research, School of Science, UncategorizedMarch 7, 202440Views0Likes0Comments
MIT researchers have been utilizing computational models derived from deep neural networks which mimic the structure and function of the human auditory system, a development that could help in the design of better hearing aids, cochlear implants, and brain-machine interfaces. This represents a significant step in understanding how the human brain processes sound and how…

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Intricate and unknown phrases influence the brain’s linguistic network to exert more effort.

Artificial Intelligence, Brain and cognitive sciences, Computer science and technology, Language, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Neuroscience, Research, School of Engineering, School of Science, UncategorizedMarch 7, 202435Views0Likes0Comments
A study by MIT neuroscientists, utilising an artificial language network, discovered the type of sentences most likely to stimulate the brain’s key language processing centers. The study concluded that complex sentences, with unusual grammar or unexpected meaning, generate stronger responses. In contrast, simplistic sentences marginally engaged these regions, while nonsensical sequences of words had little…

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