Browse wide-ranging research at the frontiers of neuroscience supported by Wu Tsai Neurosciences Institute grants, awards, and training fellowships.
Projects
Nanoscale to circuit-level computational and experimental studies of the biophysical mechanism of ultrasound-mediated mechanical neurostimulation
Although ultrasonic neurostimulation has the potential to outperform traditional treatments for many debilitating neurological disorders, it remains unclear how ultrasound affects nervous system activity on the molecular level.
Elucidating mechanisms of microglial tiling
In a process called tiling, homeostatic microglia homogenously organize in a grid-like fashion to achieve efficient surveillance of the brain. The molecular mechanisms underlying tiling are unknown. I hypothesize that microglia use cell-surface proteins to sense density of neighboring microglia, thereby contributing to constant cell-to-cell distances.
Elucidating the biophysical mechanisms of latrophilin activation in excitatory synapse formation
Curiosity-driven social learning and interaction in artificial agents and humans
In order to reach the level of intelligence that humans possess, artificial agents need to be able to autonomously interact with other agents and humans and build rich models of how other minds work as a result of these interactions.
Restoring multi-limb motion in people with paralysis via brain-computer interface
Intracortical brain-computer interfaces (iBCIs) can restore lost communication and motor function for people with severe speech and motor impairment due to neurological injury or disease. iBCIs measure neural activity from the brain, decode this activity into control signals, and use these signals to guide prosthetic devices such as computer cursors and prosthetic arms.
Assessing the generalizability of individual brain models
Cognitive neuroscience has traditionally focused on identifying the neural basis of psychological traits or state effects across large samples of participants. Recently, researchers have pushed towards providing more precise estimates of individual functional organization to better understand both psychological constructs as well as their supporting neural mechanisms.
Next-generation brain imaging in freely moving animals
Calcium imaging in freely behaving animals allows for the tracking of neuronal activity under approximately normal behavioral conditions. However, the slow response time of calcium imaging inhibits high resolution voltage and temporal measurements. To address this issue, modern molecular tools have been developed to optically report the high-speed dynamics of neurons more accurately.
Optogenetic screening of the gut-brain axis via an internal light source
The gut-brain axis is implicated in many essential physiological and psychological functions, ranging from feeding, emotion, motivation, to memory. As a critical component of the gut-brain axis, vagal sensory neurons exhibit distinct projection patterns to target specific visceral organs.
Structural analysis of chloride channel CLC-2
Membrane transport proteins are essential for life. They transport essential nutrients and minerals across the membrane barrier that surrounds each cell in the human body. This transport is necessary for every living process – from eating and breathing to learning and doing daily work.
Restoring vision with epiretinal prostheses
Millions of people are blind, yet we still don’t have the technology to satisfactorily restore vision. I aim to create a prosthetic device to do so. This device can be implanted in the eyes of a blind patient, resting on a tissue layer called the retina.
Improving BCI generalizability with multi-task modeling and autocalibration
Brain-computer interfaces (BCIs) are systems that enable using neural activity to control and interact with external devices. For people who lose the ability to move or speak due to injury or disease, BCIs provide a potential avenue to restore this loss of function.
Massively parallel microwire arrays for deep brain stimulation
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.
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.
Understanding a complete neural computation in the primate visual system
Understanding the brain requires understanding how the neurons that constitute it perform computations, and how those computations relate to human behavior.
Investigation of synapse formation by novel nanoscale imaging techniques
Synaptic junctions linking individual neurons constitute the fundamental building blocks of our brain. Understanding their inner working is crucial to unravel the mechanisms by which our brain processes information. However, imaging structures at a relevant sub-synaptic level is challenging and has often hampered advances in neuroscience.
Enabling cell-based therapy of spinal cord injury through injectable hydrogels
Spinal cord injury (SCI) causes permanent damage to about 12,000 new patients in the US each year, primarily young adults. A common result of SCI is paralysis, and unfortunately, less than 1% of SCI patients have full neurological recovery by the time of hospital discharge.
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.
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.