[projects] add stimulus reconstruction project
This commit is contained in:
parent
42acd8f2af
commit
2a96e49159
10
projects/project_stimulus_reconstruction/Makefile
Normal file
10
projects/project_stimulus_reconstruction/Makefile
Normal file
@ -0,0 +1,10 @@
|
|||||||
|
latex:
|
||||||
|
pdflatex *.tex > /dev/null
|
||||||
|
pdflatex *.tex > /dev/null
|
||||||
|
|
||||||
|
clean:
|
||||||
|
rm -rf *.log *.aux *.zip *.out auto
|
||||||
|
rm -f `basename *.tex .tex`.pdf
|
||||||
|
|
||||||
|
zip: latex
|
||||||
|
zip `basename *.tex .tex`.zip *.pdf *.dat *.mat
|
58
projects/project_stimulus_reconstruction/stimulus_reconstruction.tex
Executable file
58
projects/project_stimulus_reconstruction/stimulus_reconstruction.tex
Executable file
@ -0,0 +1,58 @@
|
|||||||
|
\documentclass[addpoints,11pt]{exam}
|
||||||
|
\usepackage{url}
|
||||||
|
\usepackage{color}
|
||||||
|
\usepackage{hyperref}
|
||||||
|
|
||||||
|
\pagestyle{headandfoot}
|
||||||
|
\runningheadrule
|
||||||
|
\firstpageheadrule
|
||||||
|
\firstpageheader{Scientific Computing}{Project Assignment}{11/05/2014
|
||||||
|
-- 11/06/2014}
|
||||||
|
%\runningheader{Homework 01}{Page \thepage\ of \numpages}{23. October 2014}
|
||||||
|
\firstpagefooter{}{}{}
|
||||||
|
\runningfooter{}{}{}
|
||||||
|
\pointsinmargin
|
||||||
|
\bracketedpoints
|
||||||
|
|
||||||
|
%\printanswers
|
||||||
|
%\shadedsolutions
|
||||||
|
|
||||||
|
|
||||||
|
\begin{document}
|
||||||
|
%%%%%%%%%%%%%%%%%%%%% Submission instructions %%%%%%%%%%%%%%%%%%%%%%%%%
|
||||||
|
\sffamily
|
||||||
|
% \begin{flushright}
|
||||||
|
% \gradetable[h][questions]
|
||||||
|
% \end{flushright}
|
||||||
|
|
||||||
|
\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
|
||||||
|
\begin{questions}
|
||||||
|
\question .
|
||||||
|
\begin{parts}
|
||||||
|
\part Estimate the STA and plot it for each of the cells.
|
||||||
|
\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 Apply the STA estimated for one neuron to reconstruct
|
||||||
|
the stimulus another neuron has seen.
|
||||||
|
\end{parts}
|
||||||
|
\end{questions}
|
||||||
|
|
||||||
|
\end{document}
|
Reference in New Issue
Block a user