A Cornell professor designed a room-size network of sensors that represented a single neuron. He claimed it would grow wiser ...

A central objective in human neuroimaging is to understand the neurobiology underlying cognition and mental health. Machine learning models trained on neuroimaging data are increasingly used as tools ...

Since the birth of artificial intelligence (AI), the journey of understanding human intelligence in neuroscience is on the same path as the pursuit of machine intelligence for graph learning in AI.

For more than a decade, neuroscientists had recordings from monkey brains learning to sort visual patterns. They had analyzed the data, published landmark papers, and moved on. Then a computer model ...

Every time you master a new recipe, remember a phone number, or finally figure out how to fold a fitted sheet, your brain is learning. But new research shows that the brain learns in a more complex ...

Researchers have demonstrated that brain cells learn faster and carry out complex networking more effectively than machine learning by comparing how both a Synthetic Biological Intelligence (SBI) ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...

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 ...

In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain aging at an unprecedented cellular ...

Researchers from Sweden have discovered that the human brain continues to grow new cells in the memory region—called the hippocampus—even into old age. Using advanced tools to examine brain samples ...