Description

Decoding motor intent from recorded neural signals is essential for the development of effective neural-controlled prostheses. To facilitate the development of online decoding algorithms we have developed a software platform

Decoding motor intent from recorded neural signals is essential for the development of effective neural-controlled prostheses. To facilitate the development of online decoding algorithms we have developed a software platform to simulate neural motor signals recorded with peripheral nerve electrodes, such as longitudinal intrafascicular electrodes (LIFEs). The simulator uses stored motor intent signals to drive a pool of simulated motoneurons with various spike shapes, recruitment characteristics, and firing frequencies.

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    Contributors
    Date Created
    • 2014-11-14
    Resource Type
  • Text
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    Identifier
    • Digital object identifier: 10.3389/fnins.2014.00371
    • Identifier Type
      International standard serial number
      Identifier Value
      1662-4548
    • Identifier Type
      International standard serial number
      Identifier Value
      1662-453X

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    Abdelghani, Mohamed N., Abbas, James J., Horch, Kenneth W., & Jung, Ranu (2014). A functional model and simulation of spinal motor pools and intrafascicular recordings of motoneuron activity in peripheral nerve. FRONTIERS IN NEUROSCIENCE, 8:371. http://dx.doi.org/10.3389/fnins.2014.00371

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