A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural ...

A new scalable workflow for analyzing multiple ensemble datasets incorporates SMARTTR, an R package supporting network analysis, visualization, and the import of external datasets.

Recent discoveries of how the brain works have shifted focus to brain networks, offering potential new hope for people ...

Dreams, and likely nightmares, are experienced universally across humans and animals, but neuroscientists still do not know why.

Matthew Leming, Ph.D., and Hyungsoon Im, Ph.D. of the Center for Systems Biology at Massachusetts General Hospital, are the ...

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

A new study reveals that inhibitory neurons born later in development mature more quickly than earlier ones, allowing them to catch up and integrate evenly into neural networks.

Rats exhibit significant recovery of locomotor function following incomplete spinal cord injuries, albeit with altered gait expression and reduced speed and stepping frequency. These changes likely ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from ...

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From the smallest fragment of brain tissue, the intricate blueprint of the entire brain is beginning to emerge. Researchers at Baylor College of Medicine are making several time-consuming aspects of ...