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[projects] fixed my projects

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This commit is contained in:
Jan Benda
2020-01-20 17:06:42 +01:00
parent 77ad5ed068
commit 13f826addc
5 changed files with 63 additions and 58 deletions
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6
projects/project_populationvector/populationvector.tex
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@@ -39,7 +39,7 @@
\begin{parts}
\part Illustrate the spiking activity of the V1 cells in response
to different orientation angles of the bars by means of spike
raster plots (of one unit).
raster plots (of a single unit).
\part Plot the firing rate of each of the 6 neurons as a function
of the orientation angle of the bar. As the firing rate compute
@@ -48,7 +48,7 @@
of the neurons.
\part Fit the function \[ r(\varphi) =
g(1+\cos(\varphi-\varphi_0))/2 \] to the measured tuning curves in
g(1+\cos(2(\varphi-\varphi_0)))/2 \] to the measured tuning curves in
order to estimated the orientation angle at which the neurons
respond strongest. In this function $\varphi_0$ is the position of
the peak and $g$ is a gain factor that sets the maximum firing
@@ -69,7 +69,7 @@
data, and estimate the orientation angle of the bar from single
trial data by the two different methods.
\part Compare, illustrate and discuss the performance of your two
\part Compare, illustrate and discuss the performance of the two
decoding methods by using all of the recorded responses (all
\texttt{population*.mat} files). How exactly is the orientation of
the bar encoded? How robust is the estimate of the orientation