What can a honey bee tell us about human learning? According to researchers at Virginia Tech and Arizona State University, ...

Researchers develop TweetyBERT, an AI model that automatically decodes canary songs to help neuroscientists understand the neural basis of speech.

Examining brain plasticity and its implications for development, aging, and brain injury recovery.

For decades, scientists have mapped attention, memory, language, and reasoning to separate brain networks — yet one big mystery remained: why does the mind feel like a single, unified system?

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 ...

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 ...

Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and adjust goals even in the face of sudden changes. However, "model-free ...

New research suggests that super-agers generate twice as many neurons as typical older adults. But you don't have to be a ...

Artificial intelligence and neuroscience are getting closer to making human thoughts speak and show themselves in images. This gives new hope to people suffering from paralysis or speech ...

Recently, Nvidia founder Jensen Huang, whose company builds the chips powering today’s most advanced artificial intelligence systems, remarked: “The thing that’s really, really quite amazing is the ...

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...