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scientificComputing/projects/project_stimulus_reconstruction/stimulus_reconstruction.tex

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\documentclass[addpoints,11pt]{exam}
\usepackage{url}
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\usepackage{hyperref}
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\firstpageheader{Scientific Computing}{Project Assignment}{11/05/2014
-- 11/06/2014}
%\runningheader{Homework 01}{Page \thepage\ of \numpages}{23. October 2014}
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\begin{document}
%%%%%%%%%%%%%%%%%%%%% Submission instructions %%%%%%%%%%%%%%%%%%%%%%%%%
\sffamily
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% \gradetable[h][questions]
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\begin{center}
\input{../disclaimer.tex}
\end{center}
%%%%%%%%%%%%%% Questions %%%%%%%%%%%%%%%%%%%%%%%%%
\section*{Reverse reconstruction of the stimulus evoking neuronal responses.}
During the course we have used the Spike-Triggered-Average to
reconstruct the stimulus a neuron has been stimulated with.
\begin{questions}
\question In the accompanying files you find the spike responses of
P-units and pyramidal neurons of the weakly electric fish
\textit{Apteronotus leptorhynchus}. The respective stimuli are
stored in separate files. Start with the P-unit and, in the end,
apply the same functions to the pyramidal data.
\begin{parts}
\part Estimate the STA and plot it.
\part Implement a function that estimates the reconstruction
error using the mean-square-error and express it relative to the
variance of the original stimulus.
\begin{equation}
err = \frac{1}{N} \cdot \displaystyle\sum^{N}_{i=1}(x_i - \bar{x}),
\end{equation}
with $N$ the number of data points, $x_i$ the current value and
$\bar{x}$, the average of all $x$.
\part Analyze the robustness of the reconstruction. Estimate
the STA with less and less data and estimate the reconstruction
error.
\part Plot the reconstruction error as a function of the data
amount used to estimate the STA.
\part Do the same for the pyramidal neuron, what do you observe?
\end{parts}
\end{questions}
\end{document}