IEEE-5332822 (pdf) Neural prosthetic systems: Current problems and future directions
- Where there is unlikely to be improvements: spike sorting and spiking models.
- Where there are likely to be dramatic improvements: non-stationarity of recorded waveforms, limitations of a linear mappings between neural activity and movement kinematics, and the low signal to noise ratio of the neural data.
- Compare different sorting methods: threshold, single unit, multiunit, relative to decoding.
- Plot waveform changes over an hour -- this contrasts with earlier work (?) {1032}
- Figure 5: there is no obvious linear transform between neural activity and the kinematic parameters.
- Suggest that linear models need to be replaced by the literature of how primates actually make reaches.
- Discuss that offline performance is not at all the same as online; in the latter the user can learn and adapt on the fly!
____References____
Chestek, C.A. and Cunningham, J.P. and Gilja, V. and Nuyujukian, P. and Ryu, S.I. and Shenoy, K.V. Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE 3369 -3375 (2009) |