Neuroscience News

Brain-computer interface technology assisted with language learning AI allows paralyzed individuals to speak by reading brain activity and decoding it into speech according to new research co-authored by Wu Tsai Neuro affiliate Erin Kunz.

Using brain implants, machine learning and a predictive model, researchers at Stanford Medicine and Wu Tsai Neuro decoded a woman’s attempts to speak at a rate that begins to approach natural conversation.

Our brains remember how to formulate words even if the muscles responsible for saying them out loud are incapacitated. A brain-computer hookup is making the dream of restoring speech a reality in a Stanford Medicine study, which includes Wu Tsai Neuro aff

Wu Tsai Neuro affiliate Bo Wang’s team expanded mouse brain tissue to improve the resolution of spatial transcriptomics techniques. Their method — called Ex-ST — greatly improves the ability to map brain circuits by cell type.

Erin Kunz, third year PhD student in Electrical Engineering, started her career developing autonomous vehicles at General Motors (GM) — but now she uses her software engineering and machine learning skills in the Neural Prosthetics Translational Lab.

Linderman’s research group builds computational tools to extract simple structures from high-dimensional datasets, enhancing our understanding of the brain and its processes. He spoke with us about his work and the McKnight award.

Touch is one of the most important human senses. It lets us connect with the world—and each other. Roboticists like Allison Okamura—today’s podcast guest—think we should be building technology that helps us reconnect through the power of touch.

Institute scholar Paul Nuyujukian and Mark Churchland remember the great Krishna Shenoy, who passed away earlier this year.

Are bionic eyes in our future? In today's podcast, we talk to Professor EJ Chichilnisky of the Stanford Artificial Retina Project about how electronic implants could reverse blindness in people with retinal disease.

The Wu Tsai Neurosciences Institute and Institute for Human-Centered Artificial Intelligence (HAI) at Stanford are pleased to announce their first year of Neuroscience and AI awards, which support ambitious proposals that reimagine the ways in which t

Interdisciplinary Postdocs and Brain Resilience Scholars will advance knowledge of brain health and aging.

New insights into the drivers of aging are emerging from research using an automated system for care and monitoring of hundreds of short-lived fish developed in the Wu Tsai Neuroscience Institute’s Sandbox Laboratory.

Stanford bioengineering professor Kwabena Boahen looks toward dendrites for a completely novel way of thinking about computer chips.

The Phil and Penny Knight Initiative for Brain Resilience is proud to announce the recipients of its inaugural 2022 Innovation and Catalyst Grants.

Tool-builder Sean Bendall discusses Multiplexed Ion Beam Imaging (MIBI), a powerful new tissue imaging technology that might shine a light on key questions in neurodegenerative disease, including what makes some brains seemingly resilient to Alzheimer’s.

Clever design leads to a polymer that combines stretchiness with high electrical conductivity.