Merge branch 'master' of whale.am28.uni-tuebingen.de:scientificComputing

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Jan Grewe 2017-01-24 10:00:17 +01:00
commit 792b09e2b8
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\vspace{1ex} \vspace{1ex}
The {\bf code} and the {\bf presentation} should be uploaded to The {\bf code} and the {\bf presentation} should be uploaded to
ILIAS at latest on Wednesday, February 8th, 23:59h. We will ILIAS at latest on Thursday, February 9th, 12:59h. We will
store all presentations on one computer to allow fast store all presentations on one computer to allow fast
transitions between talks. The presentations start on transitions between talks. The presentations start on Thursday,
Thursday 9:00h. Please hand in your presentation as a pdf file. Bundle February 9th at 1:00h c.t.. Please hand in your presentation as
everything (the pdf, the code, and the data) into a {\em a pdf file. Bundle everything (the pdf, the code, and the data)
single} zip-file. into a {\em single} zip-file.
\vspace{1ex} \vspace{1ex}
The {\bf code} should be exectuable without any further The {\bf code} should be executable without any further
adjustments from our side. A single {\em main} script should adjustments from our side. A single \texttt{main.m} script should
coordinate the analysis by calling functions and sub-scripts and coordinate the analysis by calling functions and sub-scripts and
should produce the {\em same} figures that you use in your should produce the {\em same} figures that you use in your
slides. The code should be properly commented and comprehensible slides. The code should be properly commented and comprehensible
by a third persons (use proper and consistent variable and by a third person (use proper and consistent variable and
function names). function names).
\vspace{1ex} \vspace{1ex}
@ -34,11 +34,11 @@
The {\bf presentation} should be {\em at most} 10min long and be The {\bf presentation} should be {\em at most} 10min long and be
held in English. In the presentation you should (i) briefly held in English. In the presentation you should (i) briefly
describe the problem, (ii) explain how you solved it describe the problem, (ii) present figures introducing, showing,
algorithmically (don't show your entire code), and (iii) present and discussing your results, and (iii) explain how you solved
figures showing your results. All data-related figures you show the problem algorithmically (don't show your entire code). All
in the presentation should be produced by your program. It is data-related figures you show in the presentation should be
always a good idea to illustrate the problem with basic plots of produced by your program. It is always a good idea to illustrate
the raw-data. the problem with basic plots of the raw-data. Make sure the axis
labels are large enough!
}} }}

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respond to bars in dependence on their orientation. respond to bars in dependence on their orientation.
How is the orientation of a bar encoded by the activity of a 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 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 by presenting them bars in a range of 12 orientation angles. Each
orientation was presented 50 times. Each of the \texttt{unit*.mat} orientation was presented 50 times. Each of the \texttt{unit*.mat}
files contains the responses of one of the neurons. In there, files contains the responses of one of the neurons. In there,
@ -76,14 +76,24 @@
gain factor that sets the maximum firing rate. gain factor that sets the maximum firing rate.
\part How can the orientation angle of the presented bar be read \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 out from one trial of the population activity of the 6 neurons?
called ``population vector''. Think of another (simpler) method. 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, Think of another (simpler) method how the orientation of the bar
and estimate the orientation angle of the bar by two different methods. 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 \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{parts}
\end{questions} \end{questions}