The four-year interdisciplinary project could lead to major breakthroughs in control, modeling, sensing, design, and reliability of power electronic interfaces.
Students challenged to present research in just three minutes!
Neurobiologist and Engineer Investigate Neural Networks That Underpin a Common but Little-Understood Disorder
The six interdisciplinary teams will use state-of-the-art neuroscience tools to translate basic science research into real-world impact.
Clark School staff, students and faculty help historic Silver Spring produce farm become more sustainable.
‘NLGC’ can be used with magnetoencephalography to better understand the neural mechanisms behind sensory processing.
UMD researchers are sorting out how our brains’ neurons organize as we take in, decide and act on information.
$2.88M in NIH funding could lead to brain-aware, tunable hearing devices.
Simulation optimization aims to guide planning and decision making under uncertainty in complex dynamic settings.
The resulting "network of networks" will further the scientific grand challenge of developing neuromorphic artificial intelligence.
The research could help improve prosthetics for people with paraplegia and make possible reconfigurable neuromorphic devices.
The competition recognizes distinguished graduate student researchers in order to help propel their careers and demonstrate the value of high-quality engineering research.
The new UMB-UMCP program has announced its first grants for projects combining AI and medicine.
Researchers from across UMD convene to discuss the latest projects funded by BBI
The Clark School gives this award to a junior faculty member for excellence in teaching.
BBI-affiliated faculty instrumental to "Readout and control of spatiotemporal neuronal codes for behavior"
This paper published in
PNAS develops a signal processing framework for extracting dynamic functional networks from neuronal data at unprecedented resolutions.
Marcus, Fu, Simon and Babadi will build a scalable, risk-sensitive and real time optimization framework tailored to noninvasive neuroimaging data from the human brain.
The brain encodes not only the acoustical properties of sounds, but also the behavioral meanings and decisions we make based on what we hear.
The NSF awards have been issued to U.S. cross-disciplinary teams to conduct innovative research focused on neural and cognitive systems.
Babadi is one of two ECE/ISR professors to win a 2016 NSF CAREER award in signal processing.
