New Columbia research shows that the human brain employs precise, mathematical logic to decision-making, revealing new insight into the brain science that guides learning.
Columbia researchers develop mathematical model that proposes new and critical role for neurons in the brain’s smell center.
New computer algorithm deciphers DNA’s most well-kept secrets; may help find the links between genes and disease.
Series of awards unites experts from different fields and universities; bolsters innovative, team approach to deciphering the complexities of the brain.
This new study upends models of how the brain constructs interpretations of the outside world. The research could shed light on phenomena ranging from eyewitness testimony to stereotyping to autism.
Advance helps to resolve this long-standing scientific question; offers framework to guide future studies of memory.
Ning Qian is exploring how the brain makes sense of the world we see, as well as why people with autism often find it difficult to look at faces.
Statistician John Cunningham examines how the complex communication between motor neurons gives rise to the elegant simplicity of our movements.
How a ‘hack’ to a high-powered microscope — and an innovative statistical technique — stands to change what we see when we peer inside the brain.
Two Zuckerman Institute Principal Investigators are among five Columbia University faculty named as Fellows of the American Association for the Advancement of Science (AAAS).
