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Funded Research Projects

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
NeuroDiscovery | Postdoctoral Fellowship
Lead Researcher(s): Tal Iram
Dr. Iram will use brain intrinsic and systemic regulators of aging, in an attempt to accelerate maturation of human-derived brain organoids. This has the potential to produce the first ever aged human brain 3D cultures and identify factors which accelerate brain aging.
NeuroDiscovery | Postdoctoral Fellowship
Lead Researcher(s): Miguel Garcia
Dr. Miguel Garcia believes that identifying the mechanism of myelin wrapping is important in understanding neural development and is a critical first step towards creating much needed therapeutic approaches to stimulate remyelination in patients with demyelinating diseases.
NeuroEngineering | Postdoctoral Fellowship
Lead Researcher(s): Dante Muratore
Dr. Dante Muratore's goal is to design the next generation of neural interfaces that allow single-cell resolution when communicating with the nervous system. To achieve this, he has conceived a new way of reading information from the neural system.
NeuroDiscovery | Postdoctoral Fellowship
Lead Researcher(s): Jessica Nowicki
By performing a molecular and neural network analysis across behaviorally divergent pair bonding species, Dr. Jessica Nowicki will use the power of comparative analysis to reveal core mechanisms that regulate pair bonding.
NeuroDiscovery | Postdoctoral Fellowship
Lead Researcher(s): Daniel Bear
Dr. Daniel Bear propose to augment state-of-the-art neural networks with two biologically-inspired properties: the ability to represent the physical world as it changes over time and the ability to learn from self-created signals rather than explicit human instruction.
NeuroEngineering | SIGF - Graduate Fellowship
Lead Researcher(s): Khaled Kamal Saab
The project aims to alleviate this bottleneck by developing a weak supervision system that optimally deals with time-series data and takes advantage of multiple data modalities.
NeuroEngineering | SIGF - Graduate Fellowship
Lead Researcher(s): Yi Liu
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.