Showing 67 results for Neuroscience
Dr. Hava Siegelmann joined DARPA in July 2016 with the goal of developing programs that advance intelligence in computerized devices, focusing on life-long learning, context-aware adaptivity, and user-centered applications.
for Interface Stability over Time (HIST) effort identifies leading mechanisms
of interface degradation and failure. HIST teams are also developing new
invasive and non-invasive histology methods to assess
neural-recording-interface status and performance, accurate predictive models
of interface performance, and methods to reduce the time required to assess and
develop robust interfaces.
The Reliable Central-Nervous-System (CNS)
Interfaces (RCI) effort seeks to demonstrate CNS interfaces that dramatically
extend their performance and lifetime. RCI includes strategies for reliably
recording motor-control information from a variety of sources, such as
single-unit action potentials, local field potentials, electrocorticography
(ECoG) and electroencephalography (EEG). This effort focuses on developing
amputee-relevant behavioral-testing methods to accurately evaluate the
reliability of CNS-interface systems prior to testing in the intended patient
The Reliable Peripheral Interfaces (RPI) effort seeks to
demonstrate peripheral-nervous-system (PNS) interfaces that can reliably extract
motor-control information for intuitive control of high-performance upper-limb
prosthetics. This effort includes a variety of PNS-interface approaches such as
nerve cuffs, penetrating electrode arrays, regenerative interfaces,
tissue-engineered biological constructs, non-penetrating devices, invasive
electromyography (EMG) and sensory-input (stimulation) systems.