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Revolutionizing Prosthetics is a government-sponsored program focused on maturing the many foundational technologies that comprise neural prosthetic systems. Targeting the needs of amputees and movement-impaired individuals, the program focused on technological advancements in areas such as advanced neural recording devices, neural decoding and en   ...more

As the field of machine learning progresses, a central goal remains to create systems with human-like cognitive capabil- ities, including the ability to generalize knowledge from very few, noisy examples. The area of low-sample machine learn- ing research, including one-shot learning, lacks consensus on proper methods and rigor in comparing human   ...more

Estimating machine learning performance “in the wild” is both an important and unsolved problem. In this paper, we seek to examine, understand, and predict the pointwise competence of classification models. Our contributions are twofold: First, we establish a statistically rigorous definition of competence that generalizes the common notion of cla   ...more

Brain–machine interface (BMI) researchers have traditionally focused on modeling endpoint reaching tasks to provide the control of neurally driven prosthetic arms. Most previous research has focused on achieving an endpoint control through a Cartesian-coordinate-centered approach. However, a joint-centered approach could potentially be used to int   ...more

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Ashley Llorens
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240-228-0312

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Tricia Latham
Patricia.Latham@jhuapl.edu
240-228-8048

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