Tracking fast neural adaptation by globally adaptive point process estimation for brain-machine interface

HIGHLIGHTS

• who: Manuscript received March and colleagues from the Hong Kong University of Science and Technology, Hong Kong (e-mail: have published the research: Tracking Fast Neural Adaptation by Globally Adaptive Point Process Estimation for Brain-Machine Interface, in the Journal: (JOURNAL)
• what: To identify active neurons in brain control and track their tuning property changes the authors propose a globally adaptive point process method (GaPP) to estimate neural modulation state from spike trains decompose states into hyper preferred direction and reconstruct kinematics in a dual-model framework. The authors implement method on real data from . . .
  

   

  

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