Chapter 15. Temporal Data Mining for Neuroscience
Wu-chun Feng, Yong Cao, Debprakash Patnaik and Naren Ramakrishnan
Today, multielectrode arrays (MEAs) capture neuronal spike streams in real time, thus providing dynamic perspectives into brain function. Mining such spike streams from these MEAs is critical toward understanding the firing patterns of neurons and gaining insight into the underlying cellular activity. However, the acquisition rate of neuronal data places a tremendous computational burden on the subsequent temporal data mining of these spike streams. Thus, computational neuroscience seeks innovative approaches toward tackling this problem and eventually solving it efficiently and in real time.
In this chapter, we present a solution ...