From f6e8604aea6bf579a1b15d00130bf41f02f86543 Mon Sep 17 00:00:00 2001 From: Fabian Sinz Date: Mon, 3 Nov 2014 09:39:01 +0100 Subject: [PATCH] fano correction --- projects/project_fano_test/fano.tex | 17 ++++------------- 1 file changed, 4 insertions(+), 13 deletions(-) diff --git a/projects/project_fano_test/fano.tex b/projects/project_fano_test/fano.tex index cc38e49..b33ce3f 100644 --- a/projects/project_fano_test/fano.tex +++ b/projects/project_fano_test/fano.tex @@ -38,26 +38,17 @@ $\mu$. It is a common measure in neural coding because a Poisson process---for which each spike is independent of every other---has a Fano factor of one. - - The table contains spike counts from a neuron measured in twelve - trials. - - \begin{center} - \begin{tabular}{cccc} - \multicolumn{4}{c}{\bf number of spikes} \\ \hline\\ - 36 & 28 & 38 & 35\\ - 32 & 30 & 35 & 29\\ - 29 & 24 & 26 & 34 - \end{tabular} - \end{center} + + The accompanying file contains two vectors with spike counts from + two neurons measured in a time window of 1s. \begin{parts} + \part Plot the spike counts of both neurons appropriately. \part Use {\em Eden, U. T., \& Kramer, M. (2010). Drawing inferences from Fano factor calculations. Journal of neuroscience methods, 190(1), 149--152} to construct a test that uses the Fano factor as test statistic and tests against the Null hypothesis that the spike counts come from a Poisson process. - \part Plot the spike counts appropriately. \part Implement the test and use it on the data above. \end{parts}