Neuroscience News

Researchers designed, built, and tested a new focused ultrasound neuromodulation system for preclinical brain research supported by a Seed Grant.

The Wu Tsai Neurosciences Institute at Stanford University is proud to announce the recipients of its fifth round of Seed Grants.

The Wu Tsai Neurosciences Institute is pleased to introduce our newest cohorts of Stanford Interdisciplinary Graduate Fellows (SIGFs).

Karl Deisseroth, Wu Tsai Neuro affiliate and pioneering psychiatrist and engineer, discusses the technologies he’s given to the world and the way those technologies are making life better for people across the globe.

The Wu Tsai Neurosciences Institute is pleased to welcome our newest graduate student fellows in the neurosciences — including trainees entering the NeuroTech Training Program and Mind, Brain, Computation and Technology (MBCT) Student Membership Program.

Stanford undergraduates and local community college students presented their summer research projects in Wu Tsai Neurosciences Institute labs at a poster session last month.

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