Neuroscience News

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.

By stretching the length of deep sleep, Tucker’s device aims to boost that overnight wash cycle. Someday soon, he hopes, something like it will be widely used by people to clear their heads — literally.

A new string-like implant can monitor fluctuations in brain chemicals, like a fitness tracker for the brain.

Ten images have been selected as winners of the inaugural Andrew Olson Scientific Image Awards, presented by the Neuroscience Microscopy Service (NMS) and sponsored by the Wu Tsai Neurosciences Institute and Carl Zeiss.

A deep-learning method can detect autism’s “fingerprints” on a brain scan and predict a person’s social-communication difficulties, according to a new study by Kaustubh Supkekar and colleagues.

Former Wu Tsai Neuro interdisciplinary postdoctoral scholar Sergey Stavisky discusses his passion for developing brain computer interfaces to restore speech and movement to people with paralysis.

Wu Tsai Neuro faculty scholar Guosong Hong and colleagues have developed the first non-invasive technique for controlling targeted brain circuits in behaving animals from a distance. The tool gives neuroscientists the ability to flexibly test the function

Neuralink, Elon Musk’s brain chip, plans to test this year on human subjects. Wu Tsai Neuro affiliate Paul Nuyujukian discusses what this means for brain implant science?