final fixes

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2017-01-24 09:40:00 +01:00
parent 3af1c4110a
commit d10d67b039
2 changed files with 32 additions and 22 deletions

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@@ -36,10 +36,10 @@
respond to bars in dependence on their orientation.
How is the orientation of a bar encoded by the activity of a
population of orientation sensisitive neurons?
population of orientation sensitive neurons?
In an electrophysiological experiment, 6 neurons have been recorded
simultaneously. First, the tuning of these neurons was characteried
simultaneously. First, the tuning of these neurons was characterized
by presenting them bars in a range of 12 orientation angles. Each
orientation was presented 50 times. Each of the \texttt{unit*.mat}
files contains the responses of one of the neurons. In there,
@@ -76,14 +76,24 @@
gain factor that sets the maximum firing rate.
\part How can the orientation angle of the presented bar be read
out from the population activity of the 6 neurons? One is the so
called ``population vector''. Think of another (simpler) method.
out from one trial of the population activity of the 6 neurons?
One is the so called ``population vector'' where unit vectors
pointing into the direction of the maximum response of each neuron
are weighted by their firing rate. The stimulus orientation is
then the direction of the averaged vectors.
Load one of the \texttt{population*.mat} files, illustrate the data,
and estimate the orientation angle of the bar by two different methods.
Think of another (simpler) method how the orientation of the bar
may be approximately read out from the population.
Load one of the \texttt{population*.mat} files, illustrate the
data, and estimate the orientation angle of the bar by the two
different methods.
\part Compare, illustrate and discuss the performance of your two
decoding methods.
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
from trial to trial?
\end{parts}
\end{questions}