Funded Projects

This team is developing a device that will enable accurate diagnosis of Parkinson’s disease via telemedicine. They initially introduced the technology of Quantitative DigitoGraphy (QDG) using a repetitive alternating finger tapping (RAFT) task on a musical instrument digital interface (MIDI) keyboard and will use Neuroscience: Translate funding for the next stage of device development.

Sensorineural hearing loss is an increasingly prevalent condition that causes disability to over a third of US adults aged over 65. We are developing a breakthrough device to restore high-frequency hearing that preserves residual hearing through a reversible and minimally invasive approach.

Developing brain organoids and assembloids – three dimensional brain tissues grown in the lab – to study human brain development, evolution and neuropsychiatric disorders.

Creating new tools to help neuroscientists bridge the study of genes and proteins operating in the brain to the study of brain circuits and systems, which could lead to a deeper understanding of brain function and disease.

Elucidating the development of the infant’s brain structure & function.

The NeuroPlant Initiative aims to leverage a botanical armamentarium to manipulate the brain — by building a pipeline to explore chemicals synthesized in plants as potential new treatments for neurological disease and as a window into the chemistry of the brain.

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.

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.

We propose a novel framework for efficient Bayesian cognition called Inference via Abstraction (IvA), which learns to approximate complex world models with simpler abstractions that capture main dependencies, but leverage structure in the prior distribution for efficient inference. We instantiate IvA with a combination of probabilistic graphical models and deep neural networks.

Many neurological injuries and diseases such as brainstem stroke and Amyotrophic Lateral Sclerosis (ALS) result in severe speech impairment, drastically reducing quality of life. Recent progress in brain-computer interfaces (BCI) has allowed these individuals to communicate, but performance is still far lower than typical spoken conversation speeds.

We will comprehensively define the gene network associated with mitochondrial dysfunction in Parkinson's disease using a cutting-edge technology, CRISPR, to understand how these nerve cells die in PD and how we can reverse the cell death to treat the disease.

We propose a new magnetic sensor that is sensitive to picoTesla-scale fields, a localized magnetic stimulator with small form-factor, and a seamless integration of both systems for applications in experimental and clinical neuroscience.

Maternal infection is linked to increased risk of neurodevelopmental disorders such as autism and schizophrenia. This proposal examines how virus-associated cytokines, specifically interferons, affect human neurons modeled in brain organoids or studied directly in fetal brain samples.

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.

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.

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.

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.

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.