[projects] fixed noiseficurves
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@@ -2,22 +2,22 @@
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\newcommand{\ptitle}{Orientation tuning}
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\input{../header.tex}
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\firstpagefooter{Supervisor: Jan Benda}{phone: 29 74573}%
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\firstpagefooter{Supervisor: Jan Benda}{}%
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{email: jan.benda@uni-tuebingen.de}
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\begin{document}
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\input{../instructions.tex}
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%%%%%%%%%%%%%% Questions %%%%%%%%%%%%%%%%%%%%%%%%%
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In the visual cortex V1 orientation sensitive neurons respond to bars
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in dependence on their orientation. In this project we explore the
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question:
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How is the orientation of a bar encoded by the activity of a
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population of orientation sensitive neurons?
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\begin{questions}
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\question In the visual cortex V1 orientation sensitive neurons
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respond to bars in dependence on their orientation. In this project
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we explore the question:
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How is the orientation of a bar encoded by the activity of a
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population of orientation sensitive neurons?
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\question Orientation tuning of the neurons
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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 characterized
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@@ -30,13 +30,6 @@
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times are given in seconds. The stimulation with the bar starts a
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time $t_0=0$ and ends at time $t_1=200$\,ms.
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Then the population activity of the 6 neurons was measured in
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response to arbitrarily oriented bars. The responses of the 6
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neurons to 50 presentation of a bar are stored in the
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\texttt{spikes} variables of the \texttt{population*.mat} files.
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The \texttt{angle} variable holds the angle of the presented bar.
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\continue
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\begin{parts}
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\part Illustrate the spiking activity of the V1 cells in response
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to different orientation angles of the bars by means of spike
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@@ -56,7 +49,17 @@
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modulation depth of the firing rate, and $a$ is an offset.
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Why is there a factor two in the argument of the cosine?
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\end{parts}
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\question Inferring stimulus orientation from neural activity
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In the second part of the experiment the population activity of the
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6 neurons was measured in response to arbitrarily oriented bars. The
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responses of the 6 neurons to 50 presentation of a bar are stored in
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the \texttt{spikes} variables of the \texttt{population*.mat} files.
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The \texttt{angle} variable holds the angle of the presented bar.
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\begin{parts}
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\part How can the orientation angle of the presented bar be read
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out from one trial of the population activity of the 6 neurons?
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One possible method is the so called ``population vector'' where
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