Single and Multiple Change Point Detection in Spike Trains: Comparison of Different CUSUM Methods.

ABSTRACT: In a natural environment, sensory systems are faced with ever-changing stimuli that can occur, disappear or change their properties at any time. For the animal to react adequately the sensory systems must be able to detect changes in external stimuli based on its neuronal responses. Since the nervous system has no prior knowledge of the stimulus timing, changes in stimulus need to be inferred from the changes in neuronal activity, in particular increase or decrease of the spike rate, its variability, and shifted response latencies. From a mathematical point of view, this problem can be rephrased as detecting changes of statistical properties in a time series. In neuroscience, the CUSUM (cumulative sum) method has been applied to recorded neuronal responses for detecting a single stimulus c

SUBMITTER: Koepcke L 

PROVIDER: S-EPMC4916211 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature