Merge branch 'master' of whale.am28.uni-tuebingen.de:scientificComputing
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\vspace{1ex}
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\vspace{1ex}
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The {\bf code} and the {\bf presentation} should be uploaded to
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The {\bf code} and the {\bf presentation} should be uploaded to
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ILIAS at latest on Wednesday, February 8th, 23:59h. We will
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ILIAS at latest on Thursday, February 9th, 12:59h. We will
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store all presentations on one computer to allow fast
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store all presentations on one computer to allow fast
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transitions between talks. The presentations start on
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transitions between talks. The presentations start on Thursday,
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Thursday 9:00h. Please hand in your presentation as a pdf file. Bundle
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February 9th at 1:00h c.t.. Please hand in your presentation as
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everything (the pdf, the code, and the data) into a {\em
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a pdf file. Bundle everything (the pdf, the code, and the data)
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single} zip-file.
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into a {\em single} zip-file.
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\vspace{1ex}
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\vspace{1ex}
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The {\bf code} should be exectuable without any further
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The {\bf code} should be executable without any further
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adjustments from our side. A single {\em main} script should
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adjustments from our side. A single \texttt{main.m} script should
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coordinate the analysis by calling functions and sub-scripts and
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coordinate the analysis by calling functions and sub-scripts and
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should produce the {\em same} figures that you use in your
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should produce the {\em same} figures that you use in your
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slides. The code should be properly commented and comprehensible
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slides. The code should be properly commented and comprehensible
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by a third persons (use proper and consistent variable and
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by a third person (use proper and consistent variable and
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function names).
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function names).
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\vspace{1ex}
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\vspace{1ex}
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@ -34,11 +34,11 @@
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The {\bf presentation} should be {\em at most} 10min long and be
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The {\bf presentation} should be {\em at most} 10min long and be
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held in English. In the presentation you should (i) briefly
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held in English. In the presentation you should (i) briefly
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describe the problem, (ii) explain how you solved it
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describe the problem, (ii) present figures introducing, showing,
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algorithmically (don't show your entire code), and (iii) present
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and discussing your results, and (iii) explain how you solved
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figures showing your results. All data-related figures you show
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the problem algorithmically (don't show your entire code). All
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in the presentation should be produced by your program. It is
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data-related figures you show in the presentation should be
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always a good idea to illustrate the problem with basic plots of
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produced by your program. It is always a good idea to illustrate
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the raw-data.
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the problem with basic plots of the raw-data. Make sure the axis
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labels are large enough!
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}}
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}}
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@ -36,10 +36,10 @@
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respond to bars in dependence on their orientation.
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respond to bars in dependence on their orientation.
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How is the orientation of a bar encoded by the activity of a
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How is the orientation of a bar encoded by the activity of a
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population of orientation sensisitive neurons?
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population of orientation sensitive neurons?
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In an electrophysiological experiment, 6 neurons have been recorded
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In an electrophysiological experiment, 6 neurons have been recorded
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simultaneously. First, the tuning of these neurons was characteried
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simultaneously. First, the tuning of these neurons was characterized
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by presenting them bars in a range of 12 orientation angles. Each
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by presenting them bars in a range of 12 orientation angles. Each
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orientation was presented 50 times. Each of the \texttt{unit*.mat}
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orientation was presented 50 times. Each of the \texttt{unit*.mat}
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files contains the responses of one of the neurons. In there,
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files contains the responses of one of the neurons. In there,
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@ -76,14 +76,24 @@
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gain factor that sets the maximum firing rate.
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gain factor that sets the maximum firing rate.
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\part How can the orientation angle of the presented bar be read
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\part How can the orientation angle of the presented bar be read
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out from the population activity of the 6 neurons? One is the so
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out from one trial of the population activity of the 6 neurons?
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called ``population vector''. Think of another (simpler) method.
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One is the so called ``population vector'' where unit vectors
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pointing into the direction of the maximum response of each neuron
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are weighted by their firing rate. The stimulus orientation is
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then the direction of the averaged vectors.
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Load one of the \texttt{population*.mat} files, illustrate the data,
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Think of another (simpler) method how the orientation of the bar
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and estimate the orientation angle of the bar by two different methods.
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may be approximately read out from the population.
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Load one of the \texttt{population*.mat} files, illustrate the
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data, and estimate the orientation angle of the bar by the two
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different methods.
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\part Compare, illustrate and discuss the performance of your two
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\part Compare, illustrate and discuss the performance of your two
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decoding methods.
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decoding methods by using all of the recorded responses (all
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\texttt{population*.mat} files). How exactly is the orientation of
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the bar encoded? How robust is the estimate of the orientation
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from trial to trial?
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\end{parts}
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\end{parts}
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\end{questions}
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\end{questions}
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