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Deep Neural Networks Show Promise as Models of Human Hearing

Computational models that mimic the structure and function of the human auditory system could help researchers design better hearing aids, cochlear implants, and brain-machine interfaces. A new study from MIT has found that modern computational model

Alexander kellJosh mcdermottGreta tuckuteNational institutes of healthDepartment of energy computational science graduate fellowshipInternational doctoral fellowshipAmerican association of university womenMcgovern institute for brain researchFriends of mcgovern institute fellowshipGovern instituteBrain researchJenelle feather phdNational institutesAmazon fellowshipScience hubAmerican association

The Brain May Learn About the World the Same Way Some Computational Models Do

The Brain May Learn About the World the Same Way Some Computational Models Do
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Anne traftonRylan schaefferMehrdad jazayeriAran nayebiMikail khonaRobert yangIla fieteMcgovern institute for brain researchMcgovern instituteK lisa yang icon centerTerms of serviceNational institutes of healthSimons foundationHelen hay whitney foundationMcknight foundationIcon center

The brain may learn about the world the same way some computational models do

The brain may learn about the world the same way some computational models do
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Aran nayebiRobert yangIla fieteMehrdad jazayeriMikail khonaRylan schaefferIcon centerMcgovern instituteMcgovern institute for brain researchYang integrative computational neuroscienceRishi rajalinghamMeta reality labsBrain researchNeural information processing systemsNeural foundationsMental simulation

The brain may learn about the world the same way some computational models do

The brain may learn about the world the same way some computational models do
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Robert yangRylan schaefferMikail khonaIla fieteAran nayebiMehrdad jazayeriSimons foundationIcon centerK lisa yang icon centerMcgovern institute for brain researchHelen hay whitney foundationMcgovern instituteMcknight foundationNational institutes of healthYang integrative computational neuroscienceRishi rajalingham

The brain may learn about the world the same way some computational models do

New MIT studies support the idea that the brain uses a process similar to a machine-learning approach known as “self-supervised learning.” This type of machine learning allows computational models to learn about visual scenes based solely on the similarities and differences between them, with no labels or other information.

Aran nayebiRylan schaefferIla fieteMehrdad jazayeriRobert yangMikail khonaK lisa yang icon centerNational institutes of healthHelen hay whitney foundationMcgovern institute for brain researchMcgovern instituteMcknight foundationIcon centerSimons foundationYang integrative computational neuroscienceRishi rajalingham