The new devices, which monitor neural activity from within blood vessels, show long-term stability in rats and could one day deliver electrical stimulation.
Spectrum: Autism Research News
Tag: machine learning
A new technique used to create see-through rodents can help scientists analyze how the nervous system interacts with other body systems.
Here is a roundup of news and research for the week of 26 June.
A machine-learning technique applied to brain imaging data appears to predict a person’s mix of verbal intelligence, social affect and repetitive behaviors.
The tool connects to electrodes implanted in people with epilepsy or other brain conditions and can monitor and regulate neurons during everyday activities.
A new method that merges tissue expansion, light-sheet microscopy and automated image segmentation can reconstruct neural circuits in about a week.
The machine-learning approach could help identify how brain structure differs between autistic and non-autistic infants, the researchers say.
A theoretical neuroscientist, Kennedy uses a blend of computational modeling and real-world experiments to understand how brain activity shapes the behaviors of animals that model autism and other conditions.
The vast stretches of DNA that don’t code for proteins could fill key knowledge gaps about autism genetics. But making sense of it all won’t be easy.