A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

A new ‘biomimetic’ model of brain circuits and function at multiple scales produced naturalistic dynamics and learning, and ...

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

Researchers have created a protein that can detect the faint chemical signals neurons receive from other brain cells. By ...

Laura holds a Master's in Experimental Neuroscience and a Bachelor's in Biology from Imperial College London. Her areas of expertise include health, medicine, psychology, and neuroscience. Laura holds ...

CAMBRIDGE, MA -- Our daily lives include hundreds of routine habits. Brushing our teeth, driving to work, or putting away the dishes are just a few of the tasks that our brains have automated to the ...

Recent research has identified specific patterns of brain activity that distinguish young children with autism from their ...

Mayo Clinic researchers have developed a new artificial intelligence (AI) tool that helps clinicians identify brain activity patterns linked to nine types of dementia, including Alzheimer's disease, ...

It is now understood that the hippocampus is closely linked to learning and memory (Doidge, 2015; Suzuki, 2015). However, this was not always the case. One prominent experiment investigating memory, ...