Detection and Classification of Extracellular Action Potential Recordings

摘要: Publisher Summary This chapter focuses on the discrete-time detection and classification of action potentials (APs)—or spikes—in extracellular neural recordings. These spikes are usually recorded over a finite number time instants in presence noise. The theories estimation play crucial role processing signals, largely because highly stochastic nature these signals direct impact this has any subsequent information extraction. Detection theory is rooted statistical hypothesis testing, which one needs to decide generative model, or hypothesis, among many possible ones, may have generated observed signals. degree complexity task can be viewed as directly proportional “closeness” candidate models (i.e., becomes more complex get closer together geometrical sense). Estimation then used estimate values parameters underlying each model.