Browse wide-ranging research at the frontiers of neuroscience supported by Wu Tsai Neurosciences Institute grants, awards, and training fellowships.
Projects
A principled investigation into the heterogeneous coding properties of medial entorhinal cortex that support accurate spatial navigation
Navigation through an environment to a remembered location is a critical skill we use every day. How does our brain accomplish such a task? Over the last few decades, several lines of evidence have suggested that a brain region called medial entorhinal cortex (MEC) supports navigation by encoding information our location and movement within an environment.
Understanding why neurons die in disease
Many neurological diseases feature the death of neurons, but the mechanisms that mediate cell death in these disorders are unknown. Astrogliosis, the response of a cell-type called “astrocytes” to injury, is common to most diseases of the central nervous system (CNS), and recent studies in our lab suggest that some reactive astrocytes may release a protein that is potently toxic to neurons.
High-speed force probes for deconstructing the biophysics of mechanotransduction
The purpose of this collaborative project is to study neuronal mechanisms associated with social stress. In particular we will test whether the energy producing systems, known as mitochondria, in a specific set of brain cells are important to confer resilience to stressful stimuli. This research may lead to treatments of stress and anxiety disorders.
NeuroChoice Initiative (Phase 2)
Stanford NeuroTechnology Initiative (Phase 2)
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 digital bi-directional retinal prostheses for restoration of vision.
Stanford Brain Rejuvenation Project (Phase 2)
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.
Neuro-circuit interventional research consortium for understanding the brain and improving treatment
Combining a detailed understanding of brain circuits with technology that modulates neural activity to develop improved ways of treating mental health conditions.
NeuroVision Initiative
The goal is to forge an inter-disciplinary collaboration between physicists, biologists, chemists, and translational medical scientists by inventing new ways of visualizing the brain, from individual molecules to neuronal circuits to entire brain regions, from a normally functioning neuron to a diseased brain.
The NeuroFab: The hub for new ideas in neuro-engineering
Creating an incubator for next-generation neural interface platforms.
Brain-machine interfaces: Science, engineering, and application
Developing technology to interface with the brain and create intelligent prosthetics.
Stroke Collaborative Action Network
Breaches barriers in our understanding of stroke to develop therapies and improve stroke recovery.
NeuroChoice: Optimizing Choice - from neuroscience to public policy
Geometric analysis and variability mapping in human white matter brain structures
Understanding the relationship between structure and function in the human brain is a key interest in neuroscience. In recent years the focus is turning to understanding the role of the white matter in human cognition, brain function and neurological disorders.
Understanding cellular responses induced by chronic implantation of electrodes using a novel human neural differentiation platform
Electrodes implanted in the brain have great potential, with applications in neurodegenerative disease, brain-computer interfaces, and more. However, the presence of electrodes in brain tissue causes a response known as gliosis, in which a scar forms around the electrode, reducing its effectiveness and access to neurons.
Modeling proprioceptive deficits for the design of novel sensory augmentation for post-stroke movement rehabilitation
Stroke is the main cause of adult disability; 80% of survivors sustain motor (movement) deficits that interfere with activities of daily living. There exists no proven therapeutic strategy for motor recovery of the upper extremity following stroke.
High-speed nanomechanical probing of auditory mechano-sensitive cells
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-sensory cells perform this task within microseconds and can do so for sub-nanomechanical stimuli.
Quantitative imaging for multi-scale modeling of neurological diseases
My proposed visit to the Van De Ville lab is centered on the idea to expand our methods beyond brain tumors to other neurological diseases using the Van De Ville lab’s expertise in neuro-imaging. Imaging genomics has been focused mainly on oncology; however, other neurological diseases can be studied in the same way.
Improve reproducibility and transparency in the field of neuroimaging by applying nonparametricstatistical methods and writing R packages.
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.
Biologically plausible neural algorithms for learning structured sequences
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 to experience – underlies such remarkable behavior.
Neural mechanisms of learning multiple motor skills and implications for motor rehabilitation
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.
Engineering versatile deep neural networks that model cortical flexibility
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 allocate resources towards learning novel tasks is largely unknown both neuroscientifically and algorithmically.
Answering research questions in neural control through crowdsourced challenges
Human movement results from the coordination of muscles, tendons, joints, and other physiological elements.
Deep brain microstimulation for memory recovery
Yi Lui's project aims to use deep brain microstimulation (DBMS), which causes even less brain damage and has higher spatial resolution than DBS, for memory recovery.
Determining higher-order organization of control and epileptic brain networks at single cell resolution
Dr. Darian Hadjiabadi aims to identify higher-order features of neuronal circuits responsible for seizure initiation and propagation by quantifying mesoscale-network reorganization in genetic models of zebra sh that faithfully recapitulate seizure dynamics in humans.