Jennifer L. Collinger
University of Pittsburgh, Veterans Health Administration, Center for the Neural Basis of Cognition
Papers
16
Total Citations
1,138
H-Index
11
About
Jennifer L. Collinger is a pioneering researcher in neural engineering, specializing in brain-computer interfaces (BCIs) for restoring motor and sensory function in individuals with paralysis. Her major contributions lie in developing bidirectional BCIs that not only allow users to control prosthetic limbs with their thoughts but also receive tactile feedback directly from the brain. In her landmark 2021 study (579 citations), she demonstrated that evoking tactile sensations via intracortical microstimulation significantly improves robotic arm control, enabling more dexterous grasping. Her work has been instrumental in translating BCI technology from animal models to human clinical trials, as highlighted in her 2013 collaborative study (71 citations). Collinger has also advanced the field by integrating vision-guided autonomous robotics with BCIs (113 citations in 2016), creating hybrid systems that enhance neuroprosthetic performance during complex tasks. Her research addresses critical challenges such as artifact-free neural recordings (59 citations in 2018) and implicit grasp force representation (27 citations in 2018), paving the way for more intuitive and functional prosthetic control. Through her innovative blend of neuroscience, robotics, and human-centered design, Collinger is reshaping the future of assistive technology for people with tetraplegia.
Research Focus
Key Achievements
Top Papers
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- 6Artifact-free recordings in human bidirectional brain–computer interfaces59 citations · 2018
- 7Autonomy Infused Teleoperation with Application to BCI Manipulation46 citations · 2015
- 8Implicit Grasp Force Representation in Human Motor Cortical Recordings27 citations · 2018
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- 10Autonomy Infused Teleoperation with Application to BCI Manipulation18 citations · 2015