adaptation of the assignments to the modern times

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2015-11-02 09:22:57 +01:00
parent 328e06b2c0
commit 0bdc7eab98
7 changed files with 61 additions and 59 deletions

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@@ -6,8 +6,8 @@
\pagestyle{headandfoot}
\runningheadrule
\firstpageheadrule
\firstpageheader{Scientific Computing}{Project Assignment}{11/05/2014
-- 11/06/2014}
\firstpageheader{Scientific Computing}{Project Assignment}{11/02/2015
-- 11/05/2015}
%\runningheader{Homework 01}{Page \thepage\ of \numpages}{23. October 2014}
\firstpagefooter{}{}{{\bf Supervisor:} Jan Grewe}
\runningfooter{}{}{}
@@ -44,15 +44,14 @@ electroreceptors of the weakly electric fish \textit{Apteronotus
certain intensity, i.e. the \textit{contrast} which is also stored
in the file.
\begin{parts}
\part Estimate for each stimulus intensity the
PSTH and plot it. You will see that there are three parts. (i)
The first 200 ms is the baseline (no stimulus) activity. (ii)
During the next 1000 ms the stimulus was switched on. (iii) After
stimulus offset the neuronal activity was recorded for further 825
ms.
\part Estimate the adaptation time-constant of the adaptation for
both the stimulus on- and offset. To do this fit an exponential
function to the data. For the decay use:
\part Estimate for each stimulus intensity the PSTH and plot
it. You will see that there are three parts. (i) The first
200\,ms is the baseline (no stimulus) activity. (ii) During the
next 1000\,ms the stimulus was switched on. (iii) After stimulus
offset the neuronal activity was recorded for further 825\,ms.
\part Estimate the adaptation time-constant for both the stimulus
on- and offset. To do this fit an exponential function to the
data. For the decay use:
\begin{equation}
f_{A,\tau,y_0}(t) = y_0 + A \cdot e^{-\frac{t}{\tau}},
\end{equation}
@@ -62,7 +61,7 @@ electroreceptors of the weakly electric fish \textit{Apteronotus
\begin{equation}
f_{A,\tau, y_0}(t) = y_0 + A \cdot \left(1 - e^{-\frac{t}{\tau}}\right ),
\end{equation}
\part Plot the decays into the data.
\part Plot the best fits into the data.
\part Plot the estimated time-constants as a function of stimulus intensity.
\end{parts}
\end{questions}