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Funded Research Projects

NeuroHealth | Seed Grant
This proposal brings together faculty with this diverse expertise to develop the first gold standard test of auditory-vocal affect. Once developed, validated, and normed, we will deploy this test in the clinical context of autism to quantify impairments and direct neurobiological investigation.
NeuroHealth | Seed Grant
This team will leverage the power of silicon probes to record from hundreds of neurons in mouse epilepsy models to understand neural correlates of the pre-seizure EEG. These results will be used to optimize a real-time seizure prediction algorithm that will be tested in human patients.
NeuroEngineering | Seed Grant
We propose to design a lightweight, wearable system for integrated ultrasonic drug uncaging and fUS neuroimaging to noninvasively pharmacologically modulate a brain target and then image the resultant changes in neural activity without significant motion limitations.
NeuroDiscovery | SIGF - Graduate Fellowship
Lead Researcher(s): Isabel Low
Behavioral state—such as alertness or exhaustion—dramatically impacts how our brains function. Yet, in spite of the key role that it plays in cognition, how behavioral state influences brain function remains a central mystery in neuroscience.
NeuroDiscovery | SIGF - Graduate Fellowship
Lead Researcher(s): Jeffrey Wang
Developing a platform of biocompatible nanoparticles that uncage a drug payload upon ultrasound application.
NeuroHealth | Neuroscience:Translate
Lead Researcher(s): Dennis Wall, James Landay
System uses computer vision algorithms and emotion classifiers integrated into gameplay to detect emotion in the child’s face via the phone’s front camera to determine agreement with the displayed prompt, along with other features such as gaze, eye contact, and joint attention.
NeuroEngineering | Neuroscience:Translate
Developing a protein-engineered nerve implant that mimics the biochemical and mechanical cues of native tissue in order to enhance the potential for neural regeneration following injury.
NeuroHealth | Neuroscience:Translate
Developing an automated seizure detection and localization system based on deep neural networks, EEG data, and real-time video with the goal to dramatically increase neurologist diagnostic capabilities while improving quality of care.
NeuroEngineering | Neuroscience:Translate
The goal of the project is to develop this promising technology for clinical application, moving beyond new scientific insights and making a real-world impact.
NeuroEngineering | Neuroscience:Translate
Project's stimulation method may provide a powerful tool to reduce disability after a stroke, and the wearable form factor allows users to receive intensive therapy during their normal daily routine

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