Chapter 22

Neural Decoding II

Continuous Variables

Pascal Wallisch

In this chapter, you will look at how to decode a continuous, time-varying stimulus from neuronal signals. Specifically, this chapter will address how to decode the instantaneous hand position from a population of motor cortical neurons recorded from a macaque monkey. You will also see how information about how the hand position changes over time can be used to improve your decoding.


kinematic; mean spike count; Bayesian statistics; maximum a posteriori estimation; recursive Bayesian estimation; state equation; observation equation

22.1 Goals of This Chapter

The preceding chapter explored methods of decoding movement direction from neuronal signals. The movement direction was ...

Get MATLAB for Neuroscientists, 2nd Edition now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.