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Showing 1–15 of 15 results
Advanced filters: Author: Maryam M. Shanechi Clear advanced filters
  • Brain–machine interfaces are being investigated for recovery of motor function after paralysis. Shanechi et al.present a neural prosthesis that decodes premotor neuronal activity in an alert monkey to activate spinal neurons and muscles that produce target-directed movements in a sedated monkey or avatar.

    • Maryam M. Shanechi
    • Rollin C. Hu
    • Ziv M. Williams
    Research
    Nature Communications
    Volume: 5, P: 1-9
  • Brain machine interfaces (BMI) enable sensorimotor control of movement yet the parameters that may affect these pathways are not known. Here the authors show systematically that increasing the rate of control from brain as well as feedback rates to the subject results in better performance on a BMI task in monkeys.

    • Maryam M. Shanechi
    • Amy L. Orsborn
    • Jose M. Carmena
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-10
  • Naming brain–computer interfaces according to their intended application will assist stakeholders in the evaluation of the benefits and risks of neurotechnologies.

    • Jacob T. Robinson
    • Sumner L. Norman
    • Chong Xie
    Comments & Opinion
    Nature Biomedical Engineering
    Volume: 9, P: 789-791
  • Stimulation therapy for neuropsychiatric disorders is hindered by the complexity and inter-individual and intra-individual variability in symptom manifestations, neural representations and response to therapy. Brain–computer interfaces could model the brain response to stimulation and decode the symptom state of a patient from brain activity as feedback to personalize the stimulation therapy in closed loop.

    • Lucine L. Oganesian
    • Maryam M. Shanechi
    Reviews
    Nature Reviews Bioengineering
    Volume: 2, P: 653-670
  • Using the chronic brain recordings in the anterior cingulate cortex and orbitofrontal cortex in four participants with intractable chronic pain, this study identified objective neural biomarkers of subjective pain experience.

    • Prasad Shirvalkar
    • Jordan Prosky
    • Edward F. Chang
    Research
    Nature Neuroscience
    Volume: 26, P: 1090-1099
  • Brain-machine interfaces (BMIs) have typically focused on performing single-targeted movements. Here the authors report the presence of two subpopulations of neurons in the monkey premotor cortex that allow two planned targets to be simultaneously held in working memory without degradation. They use this finding to develop a BMI that concurrently decodes a full motor sequence in advance of movement and then accurately executes it.

    • Maryam M Shanechi
    • Rollin C Hu
    • Ziv M Williams
    Research
    Nature Neuroscience
    Volume: 15, P: 1715-1722
  • This paper first reviews the work on brain-machine interfaces (BMIs) for restoring lost motor function and then provides a perspective on how BMIs could extend to the new frontier of restoring lost emotional function in neuropsychiatric disorders.

    • Maryam M. Shanechi
    Reviews
    Nature Neuroscience
    Volume: 22, P: 1554-1564