Cognitive Neuroengineering
Cognitive neuroscience strives to understand the neural substrates of mental processes by investigating the psychological, computational and neuroscientific bases of cognition. With the growing number of new tools, over the last 20 years neuroengineering has advanced to allow important insights into how the brain encodes information, especially as it relates to sensorimotor processing. Much less is known about the neural mechanisms of cognitive function.
At UC Davis, Cognitive Neuroengineering research focuses on developing better tools to understand human cognition, which can be used to develop effective treatments for cognitive deficits and improve human performance within the work environment, as well as a framework for society’s discussion of privacy, neuroethics, the role of regulatory agencies, and needed limits/restrictions on medical interventions that impact cognition.
Research in this area is supported by 16 faculty members from 7 departments and 4 centers. Research in cognitive Neuroengineering is anchored by the Center for Neuroengineering and Medicine and the Neurology and Neurological Surgery Departments.
Faculty studying cognitive neuroengineering
| Erie D. Boorman, Ph.D. | Learning and decision-making |
| Xiaomo Chen, Ph.D. | Cognitive control and attention |
| Jochen Ditterich, Ph.D. | Neural mechanisms of decision-making; new technology for neuroscience and translational applications |
| Alexandra Duffy, D.O. | Deep brain stimulation; movement disorders |
| Wilsaan M. Joiner, Ph.D. | Sensorimotor integration, motor learning/control and clinical applications. |
| Sanjay Joshi, Ph.D. | Robotics, Human-Machine Interfaces (including Brain-Computer Interfaces), Prosthetics, Artificial Intelligence, Machine Learning, Rehabilitation |
| Zhaodan Kong, Ph.D. | Robotics, human-autonomy teaming, control theory, machine learning, neuroengineering |
| Norika Malhado-Chang, M.D. | Movement disorders |
| Lee M. Miller, Ph.D, | Auditory Neuroscience and Speech Recognition |
| Karen Moxon, Ph.D. | Neural encoding and plasticity, neuroprosthetics, neuroengineering, brain-machine interfaces |
| Carolynn Patten, Ph.D., P.T., F.A.P.T.A. | Neural basis of human movement, investigating human motor control and learning from a perspective of neuromechanics |
| Dan Ragland, Ph.D. | Behavioral, functional neuroimaging and electrophysiology methods; brain networks in learning and memory; effects of schizophrenia on learning and memory |
| Charan Ranganath, Ph.D. | Neural Basis and Functional Organization of Human Learning and Memory |
| Stephen K. Robinson, Ph.D. | Augmentation and extension of human capabilities and performance in safety-critical environments. |
| Jonathon Schofield, Ph.D. | Assistive robotics, rehabilitation engineering, neural-integrated prosthetic limbs, cognition and perception, clinical translation |
| Sergey Stavisky, Ph.D. | Brain-computer interfaces for restoring speech and reach and grasp |
| Jie (JZ) Zheng, Ph.D. | Human memory and emotion, human intracranial electrophysiology and neuromodulation |