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   1 %!TEX TS-program = pdflatex
   2 %!TEX encoding = Latin1
   3 %!TEX root = perrinet09int.tex
   4 %-------------------------------------------------------------------------------------------%
   5 \begin{frame}%\frametitle{Take-home message}%
   6 \bibliographystyle{plainnat}%
   7 {\tiny
   8 \begin{thebibliography}{3}
   9 
  10 \bibitem[Perrinet(2007)]{Perrinet06}
  11 Laurent~U. Perrinet.
  12 \newblock \emph{Topics in Dynamical Neural Networks: From Large Scale Neural
  13   Networks to Motor Control and Vision}, volume 142 of \emph{The European
  14   Physical Journal (Special Topics)}, chapter Dynamical Neural Networks:
  15   modeling low-level vision at short latencies, pages 163--225.
  16 \newblock Springer Berlin / Heidelberg, mar 2007.
  17 %\newblock \doi{10.1140/epjst/e2007-00061-7}.
  18 \newblock URL \url{http://incm.cnrs-mrs.fr/LaurentPerrinet/Publications/Perrinet06}.
  19 \newblock URL \url{http://dx.doi.org/10.1140/epjst/e2007-00061-7}.
  20 
  21 \bibitem[Perrinet(2007]{Perrinet07neurocomp}
  22 Laurent~U. Perrinet and Guillaume S.~Masson,
  23 \newblock Modeling spatial integration in the ocular following response using a probabilistic framework.
  24 \newblock \emph{Journal of {P}hysiology ({P}aris)}
  25 \newblock URL \url{http://incm.cnrs-mrs.fr/LaurentPerrinet/Publications/Perrinet07neurocomp}
  26 \newblock 2007.
  27 
  28 
  29 \bibitem[Perrinet(2007]{Barthelemy07}
  30 Fr{\'e}d{\'e}ric Barth{\'e}lemy, Laurent~U. Perrinet, Eric Castet and Guillaume S.~Masson,
  31 \newblock Dynamics of distributed {1{D}} and {2{D}} motion representations for short-latency ocular following.
  32 \newblock \emph{Vision {R}esearch}, Volume 48 (4), p.~501--22
  33 \newblock URL \url{http://incm.cnrs-mrs.fr/LaurentPerrinet/Publications/Barthelemy07}
  34 \newblock 2007.
  35 
  36 \end{thebibliography}
  37 }%
  38 \end{frame}%
  39 %-------------------------------------------------------------------------------------------%
  40 
  41 
  42 \begin{frame}%
  43 \begin{tabular}{cccccc}%
  44 latency & \uncover<2->{barberpole:} & \uncover<3->{bipartite} \\
  45  effect & \uncover<2->{1D motion} & \uncover<3->{stimulus} \\
  46 \includegraphics[width=.21\columnwidth]{dot-latency}&%
  47 \uncover<2->{\includegraphics[width=.21\columnwidth]{barberpole_steps_init}&}%
  48 \uncover<3->{\includegraphics[width=.21\columnwidth]{surround_steps_init}}\\%
  49 sharpening & \uncover<2->{barberpole: }& \uncover<3->{surround }\\
  50 of CRF & \uncover<2->{2D motion} & \uncover<3->{suppression}\\
  51 \includegraphics[width=.21\columnwidth]{CRF_ofr}&%
  52 \uncover<2->{\includegraphics[width=.21\columnwidth]{barberpole_steps_particles}&}%
  53 \uncover<3->{\includegraphics[width=.21\columnwidth]{surround-sup}}%
  54 \end{tabular}%
  55 \end{frame}%
  56 
  57 %-------------------------------------------------------------------------------------------%
  58 \begin{frame}
  59 		\includegraphics[width=\linewidth]{Condensation}%
  60 \end{frame}
  61 %-------------------------------------------------------------------------------------------%
  62 
  63 %-------------------------------------------------------------------------------------------%
  64 \begin{frame}\frametitle{Homeostasis: histogram equalization}%
  65 \includegraphics [width=1\textwidth]{../Learning/07-09-05_MIPM/figures/laughlin}
  66 \end{frame}
  67 %-------------------------------------------------------------------------------------------%
  68 

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