New artificial intelligence technology reveals previously unknown cell components. The findings may shed new light on human development and diseases.
A new machine-learning algorithm is able to teach itself to smell within a few minutes of training. As it learns, the system builds an artificial network that mimics the brain's olfactory system.
A new deep learning algorithm identified key features underlying success in the art world. Researchers report a link between exploration and exploitation was associated with artistic success.
Findings could advance the development of deep learning networks based on real neurons that will enable them to perform more complex and more efficient learning processes.
Artificial IntelligenceDeep LearningFeaturedMachine LearningNeurologyNeuroscienceOpen Neuroscience Articles
··3 min readNovel AI technology allows researchers to understand which brain regions directly interact with each other, which helps guide the placement of electrodes for DBS to treat neurological diseases.
A new AI algorithm can predict the onset of Alzheimer's disease with an accuracy of over 99% by analyzing fMRI brain scans.
A new artificial intelligence algorithm analyzes personal risk factors to accurately predict stroke recurrence in patients.
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A new AI algorithm can independently discover and categorize an animal's behavior by analyzing patterns of body movements.
Researchers discuss different current neural network models and consider the steps that need to be taken to make them more realistic, and thus more useful, as possible.
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Combining artificial intelligence technology with raw data from brain activity, researchers accelerate the understanding of how neural activity impacts specific behaviors.
A new AI model can accurately classify a brain tumor of one of six common cancer types from a single MRI brain scan image.
Artificial neural networks modeled on human brain connectivity can effectively perform complex cognitive tasks.
