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

Neuroscience shows traditional teaching is not enough. Instead, an experiential approach can return learning to its natural ...

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 ...

Assistant Professor of Biomolecular Engineering Tal Sharf holds up a specialized chip for recording electrical activity in brain organoids. Artificial intelligence (AI) has proven its incredible ...

Princeton researchers found that the brain excels at learning because it reuses modular “cognitive blocks” across many tasks. Monkeys switching between visual categorization challenges revealed that ...

Teachers are increasingly encouraged to become amateur neuroscientists. For the last decade, educational materials have promoted neuroplasticity, the brain’s capacity for adaptation, as the key to ...

For Martin Schrimpf, the promise of artificial intelligence is not in the tasks it can accomplish. It’s in what AI might reveal about human intelligence. He is working to build a “digital twin” of the ...

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, ...

Education in the brain sciences has evolved significantly, moving beyond conventional single-discipline structures to ...