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.
Spectrum: Autism Research News
Tag: machine learning
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.
Swiss biotech Stalicla hopes to bring precision medicine to autism. Experts praise efforts to identify autism subgroups, but evidence to support the company’s claims has yet to be seen.
Statistical modeling and machine learning helps blunt the bias in brain imaging studies that exclude young autistic children and those with prominent traits, a new study finds.
Machine-learning tools are widely available and can help speed up studies in animal models of autism. Here’s how to get started with the ‘minimal viable product’ and a few pro tips.
By coupling the tool — called SLEAP — with optogenetics, researchers can determine the neural circuits underlying social behaviors.
Models trained on datasets that lack racial and ethnic diversity perform less accurately on brain scans from Black Americans than their white counterparts.
The machine-learning tool, which automatically counts how many marbles a mouse buries, appears to distinguish between hyperactivity and repetitive behaviors.
By automatically quantifying gait and posture in videos of mice, a new machine-learning tool could accelerate research on how autism-linked mutations or drug treatments affect motor skills.
New software can automatically identify and quantify mouse social behavior from videos, saving researchers time.