\documentclass[a4paper,12pt,pdftex]{exam} \newcommand{\ptitle}{Serial ISI correlations} \input{../header.tex} \firstpagefooter{Supervisor: Jan Benda}{phone: 29 74573}% {email: jan.benda@uni-tuebingen.de} \begin{document} \input{../instructions.tex} The gymnotiform weakly electric fish \textit{Apteronotus leptorhynchus} has an active electrosensory system. An electric organ generates an electric field surrounding the fish. Electroreceptive organs distributed over the whole body of the fish sense minute perturbations of the electric field caused by objects close to the fish. P-unit electroreceptor afferents send information from the electroreceptive organs to the brain. They are spontaneously active when the fish is not electrically stimulated, that is when the electroreceptors are only stimulated by the fish's own unperturbed electric field. In this project we want to analyze how the baseline firing rates and the serial correlations of the interspike intervals vary between different P-units. In the file \texttt{baselinespikes.mat} you find two variables: \texttt{cells} is a cell-array with the names of the recorded cells and \texttt{spikes} is a cell array containing the spike times in seconds of recorded spontaneous activity for each of these cells. \begin{questions} \question Baseline firing rates \begin{parts} \part Load the data! How many cells are contained in the file? \part Plot the spike rasters of a few cells. For the presentation, choose a few cells based on the results of this project. By just looking on the spike rasters, what are the differences between the cells? \part Compute the firing rate of each cell, i.e. number of spikes per time. Illustrate the results by means of a histogram and/or box whisker plot. \end{parts} \question Serial correlations \begin{parts} \part Compute and plot the serial correlations between interspike intervals up to lag 10. What do you observe? In what way are the interspike-interval correlations similar betwen the cells? How do they differ? \part Illustrate relevant serial correlations with a return map. How is the return map related to what you see in the corresponding raster plot? How is it related to the corresponding serial correlation? \part Implement a permutation test for computing the significance at an appropriate significance level of the serial correlations. Keep in mind that you test the correlations at 10 different lags. At which lags are the serial correlations statistically significant? \part Are the serial correlations somehow dependent on the firing rate? Plot the significant correlations against the firing rate. Do you observe any dependence? Use an appropriate statistical test to support your observation. \end{parts} \end{questions} \end{document}