The Science of Neural Interface Systems

By Nicholas G. Hatsopoulos, John P. Donoghue. Annual Review of Neuroscience, 2009

379 citations recorded by the source corpus.

The ultimate goal of neural interface research is to create links between the nervous system and the outside world either by stimulating or by recording from neural tissue to treat or assist people with sensory, motor, or other disabilities of neural function. Although electrical stimulation systems have already reached widespread clinical application, neural interfaces that record neural signals to decipher movement intentions are only now beginning to develop into clinically viable systems to help paralyzed people. We begin by reviewing state-of-the-art research and early-stage clinical recording systems and focus on systems that record single-unit action potentials. We then address the potential for neural interface research to enhance basic scientific understanding of brain function by offering unique insights in neural coding and representation, plasticity, brain-behavior relations, and the neurobiology of disease. Finally, we discuss technical and scientific challenges faced by these systems before they are widely adopted by severely motor-disabled patients.

Subfields: Biomedical Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/29772abbbd87f16bfb56d462027ed4db1f0805b7

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In Biomedical Engineering

In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

Dynamics of Active Sensing and Perceptual Selection (2010, background): “Rhythm in motor routines used in Active Sensing Motor output is modulated by motor cortical oscillatory rhythms in the delta (1–3 Hz), theta (5–7 Hz), mu (8–12 Hz), and beta (13–30 Hz) bands [6–11], and in our view, the motor system’s imposition of these rhythms on sensory inflow is a critical facto”
Progress in Neuroengineering for brain repair: New challenges and open issues (2018, background): “For example, BMIs and brain prostheses were designed with the ultimate goal of restoring a missing function or enhancing a poor one, following brain injury or neurological disorder (Berger et al., 2011, 2012; Hatsopoulos and Donoghue, 2009; Lebedev and Nicolelis, 2006; Mussa-Ivaldi and Miller, 2003;”
Cortical control of arm movements: a dynamical systems perspective. (2013, background): “This knowledge recently helped investigators to design cortically controlled neural prosthetic systems aimed at restoring motor function to paralyzed patients (for recent reviews, see, e.g., Green & Kalaska 2011, Hatsopoulos & Donoghue 2009).”