added README to the projects

This commit is contained in:
Jan Benda 2018-02-07 11:11:16 +01:00
parent 52c5752653
commit 7f771ba07a
5 changed files with 77 additions and 9 deletions

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projects/README Normal file
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project_adaptation_fit
OK
project_eod
Needs to be checked!
project_eyetracker
OK
project_fano_slope
OK
project_fano_test
OK
project_fano_time
OK
project_ficurves
OK
project_input_resistance
What is the problem with this project?
project_isicorrelations
Need to program a solution!
project_isipdffit
Too technical
project_lif
OK
project_mutualinfo
OK
project_noiseficurves
OK
project_numbers
We might add some more involved statistical analysis
project_pca_natural_images
Needs PCA...
project_photoreceptor
OK - text needs to be improved
Maybe also add how responses are influenced by unstable resting potential
Maybe more cells...
project_populationvector
OK
project_qvalues
Interesting! But needs solution.
project_random_walk
Improve it! Provide code exmaples for plotting world and making movies
project_serialcorrelation
OK
project_spectra
Needs improvements and a solution
project_stimulus_reconstruction
OK Fix equation?
project_vector_strength
OK Maybe add something for explainiong the vector strength (average unit vector).

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%%%%% layout %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%% layout %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\usepackage[left=20mm,right=20mm,top=25mm,bottom=25mm]{geometry} \usepackage[left=20mm,right=20mm,top=25mm,bottom=25mm]{geometry}
\pagestyle{headandfoot} \pagestyle{headandfoot}
\header{\textbf{\large Scientific Computing Project: \ptitle}}{}{\textbf{\large January 18th, 2018}} \header{\textbf{\large Scientific Computing Project:}}{}{\textbf{\large \ptitle}}
\runningfooter{}{\thepage}{} \runningfooter{}{\thepage}{}
\setlength{\baselineskip}{15pt} \setlength{\baselineskip}{15pt}

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stimulus could happen to be lower than the number of spikes evoked stimulus could happen to be lower than the number of spikes evoked
by the smaller stimulus. by the smaller stimulus.
The central questions of this project are: The central questions of this project are:
\begin{itemize} \begin{itemize}
\item How can an upstream neuron discriminate two stimuli based \item How can an upstream neuron discriminate two stimuli based
@ -45,7 +44,7 @@
\end{itemize} \end{itemize}
The neuron is implemented in the file \texttt{lifboltzmannspikes.m}. The neuron is implemented in the file \texttt{lifboltzmannspikes.m}.
Call it with the following parameters: Call it with the following parameters:\vspace{-5ex}
\begin{lstlisting} \begin{lstlisting}
trials = 10; trials = 10;
tmax = 50.0; tmax = 50.0;
@ -76,9 +75,7 @@ spikes = lifboltzmanspikes(trials, input, tmax, gain);
Plot the tuning curve for four different neurons that differ in Plot the tuning curve for four different neurons that differ in
their \texttt{gain} property. Use 0.1, 0.2, 0.5 and 1 as values their \texttt{gain} property. Use 0.1, 0.2, 0.5 and 1 as values
for the \texttt{gain} parameter. for the \texttt{gain} parameter. Why is this parameter called 'gain'?
Why is this parameter called 'gain'?
\part Show two raster plots for the responses to two different \part Show two raster plots for the responses to two different
stimuli with $I_1=10$ and $I_2=11$. Set the gain of the neuron to stimuli with $I_1=10$ and $I_2=11$. Set the gain of the neuron to
@ -102,7 +99,7 @@ spikes = lifboltzmanspikes(trials, input, tmax, gain);
that quantifies how well the two stimuli can be distinguished that quantifies how well the two stimuli can be distinguished
based on the spike counts. Plot the dependence of this measure as based on the spike counts. Plot the dependence of this measure as
a function of the gain of the neuron. a function of the gain of the neuron.
%
For which gains can the two stimuli perfectly discriminated? For which gains can the two stimuli perfectly discriminated?
\underline{Hint:} A possible readout is to set a threshold \underline{Hint:} A possible readout is to set a threshold

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\part Plot the spike counts of both neurons appropriately. \part Plot the spike counts of both neurons appropriately.
\part Use {\em Eden, U. T., \& Kramer, M. (2010). Drawing \part Use {\em Eden, U. T., \& Kramer, M. (2010). Drawing
inferences from Fano factor calculations. Journal of inferences from Fano factor calculations. Journal of
neuroscience methods, 190(1), 149--152} to construct a test that Neuroscience Methods, 190(1), 149--152} to construct a test that
uses the Fano factor as test statistic and tests against the Null uses the Fano factor as test statistic and tests against the Null
hypothesis that the spike counts come from a Poisson process. hypothesis that the spike counts come from a Poisson process.
\part Implement the test and use it on the data above. \part Implement the test and use it on the data above.

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@ -115,7 +115,8 @@ time = [0.0:dt:tmax]; % t_i
r = \frac{n-1}{t_n - t_1} r = \frac{n-1}{t_n - t_1}
\end{equation} \end{equation}
What do you observe? Does the firing rate encode the frequency of What do you observe? Does the firing rate encode the frequency of
the stimulus? the stimulus? Look at the spike trains in response the sine waves
to figure out what is going on.
\end{parts} \end{parts}
\end{questions} \end{questions}