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MATLAB for Neuroscientists, 2nd Edition by Nicholas G. Hatsopoulos, Adam Seth Dickey, Tanya I. Baker, Marc D. Benayoun, Michael E. Lusignan, Pascal Wallisch

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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.

Keywords

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 ...

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