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Funded Research Projects

NeuroHealth | Seed Grant
Lead Researcher(s): Elizabeth Mormino, Anthony Wagner
By measuring the aggregation of Tau protein in healthy older adults as well as those with Alzheimer's disease dementia using positron emission tomography imaging combined with high-resolution magnetic resonance imaging, this team hopes to predict who is at most risk for dementia in the future.
NeuroDiscovery | Seed Grant
Lead Researcher(s): Bianxiao Cui
A faculty team bridging chemistry and pain research will use optogenetics to understand an important signaling pathway involved in chronic pain.
NeuroEngineering | SIGF - Graduate Fellowship
Lead Researcher(s): Kevin Feigelis
In the course of everyday functioning, animals (including humans) are constantly faced with real-world environments in which they are required to shift unpredictably between multiple, sometimes unfamiliar, tasks. But how brains support this rapid adaptation of decision making schema, and how they...
NeuroDiscovery | Big Idea
We propose to connect diverse faculty to deepen interdisciplinary understanding of the neural mechanisms supporting addictive choice by combining conceptual, experimental, and clinical approaches that bridge historically disparate fields of inquiry.
NeuroHealth | Big Idea
The Stanford Brain Rejuvenation Project is an initiative by leading aging researchers, neuroscientists, chemists, and engineers to understand the basis of brain aging and rejuvenation and how they relate to neurodegeneration.
NeuroEngineering | Big Idea
Lead Researcher(s): Nicholas Melosh, E.J. Chichilnisky
Our goal is to develop the next generation of neural interfaces that match the resolution and performance of the biological circuitry. We will focus on two signature efforts to spearhead the necessary advances: high-density wire bundles for electrical recording and stimulation, and analog and...
NeuroEngineering | SIGF - Graduate Fellowship
Lead Researcher(s): Xulu Sun
A hallmark of the motor system is its ability to execute different skilled movements as the situation warrants, thanks to the flexibility of motor learning. Despite many behavioral studies on motor learning, the neural mechanisms of motor memory formation and modification remain unclear. Xulu Sun...
NeuroDiscovery | EPFL-Stanford Exchange
Lead Researcher(s): Chris Stock
Humans naturally learn to generate and process complicated sequential patterns. For example, a concert pianist can learn an enormous repertoire of memorized music. In neuroscience, it is widely thought that synaptic plasticity – the process by which the connections between neurons change response...
NeuroDiscovery | EPFL-Stanford Exchange
Lead Researcher(s): Joy A. Franco
Our ability to detect and interpret sounds relies on specialized sensory cells within the snail-shaped hearing organ of the inner ear—the cochlea. These hair cells sense physical movement and then convert that mechanical stimulus into a biological signal that we perceive as sound. These mechano-...
NeuroDiscovery | EPFL-Stanford Exchange
Lead Researcher(s): Christof Seiler
Brain data analyses involves many steps and every step is prone to errors and uncertainties. Ignoring uncertainties can potentially leading to overconfident conclusions. To improve reproducibility it is important to propagate errors throughout the anlaysis. One crucial step in functional imaging ...