ABSTRACT
Recent technological and experimental advances in the capabilities to record signals from neural systems have led to an increase in the types and volume of data collected in neuroscience experiments and hence, is the need for appropriate techniques to analyze those using combinations of likelihood, Bayesian, state-space, time-series and point process approaches. This chapter will cover mathematical and statistical techniques used in neuronal modeling, quantitave EEG analysis and functional neuroimaging studies.
