added all my stuff

This commit is contained in:
2014-11-12 18:39:02 +01:00
parent 0fdcf2f82e
commit 350ee7ca2b
160 changed files with 5869 additions and 253 deletions

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BASENAME=pointprocesses
TEXFILE=$(BASENAME).tex
DVIFILE=$(BASENAME).dvi
PSFILE=$(BASENAME).ps
PDFFILE=$(BASENAME).pdf
FOILSFILE=foils.pdf
THUMBNAILSFILE=thumbnails.pdf
HTMLBASENAME=$(BASENAME)h
HTMLTEXFILE=$(BASENAME)h.tex
HTMLDIR=$(BASENAME)h
GPTFILES=$(wildcard *.gpt)
GPTTEXFILES=$(GPTFILES:.gpt=.tex)
all: ps pdf talk again watchps watchpdf foils thumbs html html1 epsfigs clean cleanup cleanplots help
.PHONY: epsfigs
# thumbnails:
thumbs: $(THUMBNAILSFILE)
$(THUMBNAILSFILE): $(TEXFILE) $(GPTTEXFILES)
sed -e 's/setboolean{presentation}{true}/setboolean{presentation}{false}/; s/usepackage{crop}/usepackage[frame]{crop}/' $< > thumbsfoils.tex
pdflatex thumbsfoils | tee /dev/stderr | fgrep -q "Rerun to get cross-references right" && pdflatex thumbsfoils || true
pdfnup --nup 2x4 --no-landscape --paper a4paper --trim "-1cm -1cm -1cm -1cm" --outfile $@ thumbsfoils.pdf '1-19'
rm thumbsfoils.*
# transparencies:
foils: $(FOILSFILE)
$(FOILSFILE): $(TEXFILE) $(GPTTEXFILES)
sed -e 's/setboolean{presentation}{true}/setboolean{presentation}{false}/' $< > tfoils.tex
pdflatex tfoils | tee /dev/stderr | fgrep -q "Rerun to get cross-references right" && pdflatex tfoils || true
pdfnup --nup 1x2 --orient portrait --trim "-1mm -1mm -1mm -1mm" --frame true --delta "1cm 1cm" --paper a4paper --outfile tfoils2.pdf tfoils.pdf
pdfnup --nup 1x1 --orient portrait --trim "-2cm -2cm -2cm -2cm" --paper a4paper --outfile $@ tfoils2.pdf
rm tfoils.* tfoils2.pdf
# talk:
talk: $(PDFFILE)
pdf: $(PDFFILE)
$(PDFFILE): $(TEXFILE) $(GPTTEXFILES)
pdflatex -interaction=scrollmode $< | tee /dev/stderr | fgrep -q "Rerun to get cross-references right" && pdflatex -interaction=scrollmode $< || true
# batchmode (no output, no stop on error)
# nonstopmode / scrollmode (no stop on error)
# errorstopmode (stop on error)
again :
pdflatex $(TEXFILE)
watchpdf :
while true; do ! make -q pdf && make pdf; sleep 0.5; done
# html
html : $(HTMLTEXFILE) $(GPTTEXFILES)
rm -f $(HTMLDIR)/*
htlatex $<
mkdir -p $(HTMLDIR)
mv $(HTMLBASENAME).html $(HTMLDIR)
mv $(HTMLBASENAME)*.* $(HTMLDIR)
mv z*.gif $(HTMLDIR)
cd $(HTMLDIR); for i in *.gif; do convert -page +0+0 $$i tmp.gif; mv tmp.gif $$i; done; rmtex $(HTMLBASENAME)
#$(HTMLTEXFILE) : $(TEXFILE) Makefile
# sed 's/setboolean{html}{false}/setboolean{html}{true}/; s/\\colorbox{white}{\(.*\)}/\1/g' $< > $@
html1 : $(HTMLTEXFILE) $(GPTTEXFILES)
latex2html -dir $(HTMLDIR) -mkdir -subdir -nonavigation -noinfo -image_type png -notransparent -white -split 0 $<
sed 's-<I>Date:</I>--' $(HTMLDIR)/$(HTMLDIR).html > tmp.html
cp tmp.html $(HTMLDIR)/index.html
mv tmp.html $(HTMLDIR)/$(HTMLDIR).html
$(HTMLTEXFILE) : $(TEXFILE)
sed '/^%nohtml/,/^%endnohtml/d; s/\\colorbox{white}{\(.*\)}/\1/g' $< > $@
# eps of all figures:
epsfigs:
mkdir -p epsfigs; \
for i in $(GPTFILES); do \
{ sed -n -e '1,/\\begin{document}/p' $(TEXFILE); echo "\texpicture{$${i%%.*}}"; echo "\end{document}"; } > tmp.tex; \
latex tmp.tex; \
dvips tmp.dvi; \
ps2eps tmp.ps; \
mv tmp.eps epsfigs/$${i%%.*}.eps; \
rm tmp.*; \
done
# plots:
%.tex: %.gpt whitestyles.gp
gnuplot whitestyles.gp $<
epstopdf $*.eps
clean :
rm -f *~
rmtex $(BASENAME)
rm -f $(GPTTEXFILES)
cleanup :
rm -f *~
rmtex $(BASENAME)
rm -f $(PSFILE) $(PDFFILE) $(FOILSFILE) $(THUMBNAILSFILE)
rm -f $(GPTTEXFILES)
rm -f -r $(HTMLDIR)
cleanplots :
sed -n -e '/\\begin{document}/,/\\end{document}/p' $(TEXFILE) | fgrep '\input{' | grep -v '^%' | sed 's/.*input{\(.*\).tex}.*/\1.gpt/' > plot.fls
mkdir -p unusedplots
for i in *.gp*; do \
grep -q $$i plot.fls || { grep -q $$i $$(<plot.fls) && echo $$i || mv $$i unusedplots; }; \
done >> plot.fls
for i in $$(<plot.fls); do \
sed "s/\([^'\" ]*\.dat\)/\n\1\n/g;" $$i | fgrep .dat; \
done | sort | uniq > dat.fls
mkdir -p unuseddata
for i in *.dat; do \
grep -q $$i dat.fls || mv $$i unuseddata; \
done
rm dat.fls plot.fls
help :
@echo -e \
"make pdf: make the pdf file of the talk.\n"\
"make foils: make black&white postscript foils of the talk.\n"\
"make thumbs: make color thumbnails of the talk.\n"\
"make again: run latex and make the pdf file of the talk,\n"\
" no matter whether you changed the .tex file or not.\n\n"\
"make watchpdf: make the pdf file of the talk\n"\
" whenever the tex file is modified.\n"\
"make html: make a html version of the paper (in $(HTMLDIR)).\n\n"\
"make clean: remove all intermediate files,\n"\
" just leave the source files and the final .ps and .pdf files.\n"\
"make cleanup: remove all intermediate files as well as\n"\
" the final .ps and .pdf files.\n"\
"make cleanplots: move all unused .gpt and .dat files\n"\
" into unusedplots/ and unuseddata/, respectively."

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% Copyright 2007 by Till Tantau
%
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%
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\documentclass{beamer}
%%%%% title %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\title[]{Scientific Computing --- Point Processes}
\author[]{Jan Benda}
\institute[]{Neuroethology}
\date[]{WS 14/15}
\titlegraphic{\includegraphics[width=0.3\textwidth]{UT_WBMW_Rot_RGB}}
%%%%% beamer %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\setcounter{tocdepth}{1}
%%%%% packages %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\usepackage[english]{babel}
\usepackage{amsmath}
\usepackage{bm}
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%\usepackage{multimedia}
\usepackage{dsfont}
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%%%% graphics %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\usepackage{graphicx}
\newcommand{\texpicture}[1]{{\sffamily\small\input{#1.tex}}}
%%%%% listings %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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aboveskip=10pt
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{document}
\begin{frame}[plain]
\frametitle{}
\vspace{-1cm}
\titlepage % erzeugt Titelseite
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}
\frametitle{Content}
\tableofcontents
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section{Point processes}
\begin{frame}
\frametitle{Point process}
\vspace{-3ex}
\texpicture{pointprocessscetchA}
A point process is a stochastic (or random) process that generates a sequence of events
at times $\{t_i\}$, $t_i \in \reZ$.
For each point process there is an underlying continuous-valued
process evolving in time. The associated point process occurs when
the underlying continuous process crosses a threshold.
Examples:
\begin{itemize}
\item Spikes/heartbeat: generated by the dynamics of the membrane potential of neurons/heart cells.
\item Earth quakes: generated by the pressure dynamics between the tectonic plates on either side of a geological fault line.
\item Onset of cricket/frogs/birds/... songs: generated by the dynamics of the state of a nervous system.
\end{itemize}
\end{frame}
\begin{frame}
\frametitle{Point process}
\texpicture{pointprocessscetchB}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section{Homogeneous Poisson process}
\begin{frame}
\frametitle{Homogeneous Poisson process}
The probability $p(t)\delta t$ of an event occuring at time $t$
is independent of $t$ and independent of any previous event
(independent of event history).
The probability $P$ for an event occuring within a time bin of width $\Delta t$
is
\[ P=\lambda \cdot \Delta t \]
for a Poisson process with rate $\lambda$.
\includegraphics[width=1\textwidth]{poissonraster100hz}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section{Interval statistics}
\begin{frame}
\frametitle{Rate}
Rate of events $r$ (``spikes per time'') measured in Hertz.
\begin{itemize}
\item Number of events $N$ per observation time $W$: $r = \frac{N}{W}$
\item Without boundary effects: $r = \frac{N-1}{t_N-t_1}$
\item Inverse interval: $r = \frac{1}{\mu_{ISI}}$
\end{itemize}
\end{frame}
\begin{frame}
\frametitle{(Interspike) interval statistics}
\begin{itemize}
\item Histogram $p(T)$ of intervals $T$. Normalized to $\int_0^{\infty} p(T) \; dT = 1$
\item Mean interval $\mu_{ISI} = \langle T \rangle = \frac{1}{n}\sum\limits_{i=1}^n T_i$
\item Variance of intervals $\sigma_{ISI}^2 = \langle (T - \langle T \rangle)^2 \rangle$\vspace{1ex}
\item Coefficient of variation $CV_{ISI} = \frac{\sigma_{ISI}}{\mu_{ISI}}$
\item Diffusion coefficient $D_{ISI} = \frac{\sigma_{ISI}^2}{2\mu_{ISI}^3}$
\vfill
\end{itemize}
\includegraphics[width=0.45\textwidth]{poissonisih100hz}\hfill
\includegraphics[width=0.45\textwidth]{lifisih16}
\end{frame}
\begin{frame}
\frametitle{Interval statistics of homogeneous Poisson process}
\begin{itemize}
\item Exponential distribution of intervals $T$: $p(T) = \lambda e^{-\lambda T}$
\item Mean interval $\mu_{ISI} = \frac{1}{\lambda}$
\item Variance of intervals $\sigma_{ISI}^2 = \frac{1}{\lambda^2}$
\item Coefficient of variation $CV_{ISI} = 1$
\end{itemize}
\vfill
\includegraphics[width=0.45\textwidth]{poissonisihexp20hz}\hfill
\includegraphics[width=0.45\textwidth]{poissonisihexp100hz}
\end{frame}
\begin{frame}
\frametitle{Interval return maps}
Scatter plot between succeeding intervals separated by lag $k$.
\vfill
Poisson process $\lambda=100$\,Hz:
\includegraphics[width=1\textwidth]{poissonreturnmap100hz}\hfill
\end{frame}
\begin{frame}
\frametitle{Serial interval correlations}
Correlation coefficients between succeeding intervals separated by lag $k$:
\[ \rho_k = \frac{\langle (T_{i+k} - \langle T \rangle)(T_i - \langle T \rangle) \rangle}{\langle (T_i - \langle T \rangle)^2\rangle} = \frac{{\rm cov}(T_{i+k}, T_i)}{{\rm var}(T_i)} \]
\begin{itemize}
\item $\rho_0=1$ (correlation of each interval with itself).
\item Poisson process: $\rho_k =0$ for $k>0$ (renewal process!)
\end{itemize}
\vfill
\includegraphics[width=0.7\textwidth]{poissonserial100hz}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section{Count statistics}
\begin{frame}
\frametitle{Count statistics}
Histogram of number of events $N$ (counts) within observation window of duration $W$.
\vfill
\includegraphics[width=0.48\textwidth]{poissoncounthist100hz10ms}\hfill
\includegraphics[width=0.48\textwidth]{poissoncounthist100hz100ms}
\end{frame}
\begin{frame}
\frametitle{Count statistics of Poisson process}
Poisson distribution:
\[ P(k) = \frac{(\lambda W)^ke^{\lambda W}}{k!} \]
\vfill
\includegraphics[width=0.48\textwidth]{poissoncounthistdist100hz10ms}\hfill
\includegraphics[width=0.48\textwidth]{poissoncounthistdist100hz100ms}
\end{frame}
\begin{frame}
\frametitle{Count statistics --- Fano factor}
Statistics of number of events $N$ within observation window of duration $W$.
\begin{itemize}
\item Mean count: $\mu_N = \langle N \rangle$
\item Count variance: $\sigma_N^2 = \langle (N - \langle N \rangle)^2 \rangle$
\item Fano factor (variance divided by mean): $F = \frac{\sigma_N^2}{\mu_N}$
\item Poisson process: $F=1$
\end{itemize}
\vfill
Poisson process $\lambda=100$\,Hz:
\includegraphics[width=1\textwidth]{poissonfano100hz}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section{Integrate-and-fire models}
\begin{frame}
\frametitle{Integrate-and-fire models}
Leaky integrate-and-fire model (LIF):
\[ \tau \frac{dV}{dt} = -V + RI + D\xi \]
Whenever membrane potential $V(t)$ crosses the firing threshold $\theta$, a spike is emitted and
$V(t)$ is reset to $V_{reset}$.
\begin{itemize}
\item $\tau$: membrane time constant (typically 10\,ms)
\item $R$: input resistance (here 1\,mV (!))
\item $D\xi$: additive Gaussian white noise of strength $D$
\item $\theta$: firing threshold (here 10\,mV)
\item $V_{reset}$: reset potential (here 0\,mV)
\end{itemize}
\end{frame}
\begin{frame}
\frametitle{Integrate-and-fire models}
Discretization with time step $\Delta t$: $V(t) \rightarrow V_i,\;t_i = i \Delta t$.\\
Euler integration:
\begin{eqnarray*}
\frac{dV}{dt} & \approx & \frac{V_{i+1} - V_i}{\Delta t} \\
\Rightarrow \quad V_{i+1} & = & V_i + \Delta t \frac{-V_i+RI_i+\sqrt{2D\Delta t}N_i}{\tau}
\end{eqnarray*}
$N_i$ are normally distributed random numbers (Gaussian with zero mean and unit variance)
--- the $\sqrt{\Delta t}$ is for white noise.
\includegraphics[width=0.82\textwidth]{lifraster16}
\end{frame}
\begin{frame}
\frametitle{Interval statistics of LIF}
Interval distribution approaches Inverse Gaussian for large $I$:
\[ p(T) = \frac{1}{\sqrt{4\pi D T^3}}\exp\left[-\frac{(T-\langle T \rangle)^2}{4DT\langle T \rangle^2}\right] \]
where $\langle T \rangle$ is the mean interspike interval and $D$
is the diffusion coefficient.
\vfill
\includegraphics[width=0.45\textwidth]{lifisihdistr08}\hfill
\includegraphics[width=0.45\textwidth]{lifisihdistr16}
\end{frame}
\begin{frame}
\frametitle{Interval statistics of PIF}
For the perfect integrate-and-fire (PIF)
\[ \tau \frac{dV}{dt} = RI + D\xi \]
(the canonical model or supra-threshold firing on a limit cycle)\\
the Inverse Gaussian describes exactly the interspike interval distribution.
\vfill
\includegraphics[width=0.45\textwidth]{pifisihdistr01}\hfill
\includegraphics[width=0.45\textwidth]{pifisihdistr10}
\end{frame}
\begin{frame}
\frametitle{Interval return map of LIF}
LIF $I=15.7$:
\includegraphics[width=1\textwidth]{lifreturnmap16}
\end{frame}
\begin{frame}
\frametitle{Serial correlations of LIF}
LIF $I=15.7$:
\includegraphics[width=1\textwidth]{lifserial16}\\
Integrate-and-fire driven with white noise are still renewal processes!
\end{frame}
\begin{frame}
\frametitle{Count statistics of LIF}
LIF $I=15.7$:
\includegraphics[width=1\textwidth]{liffano16}\\
Fano factor is not one!
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}
\frametitle{Interval statistics of LIF with OU noise}
\begin{eqnarray*}
\tau \frac{dV}{dt} & = & -V + RI + U \\
\tau_{OU} \frac{dU}{dt} & = & - U + D\xi
\end{eqnarray*}
Ohrnstein-Uhlenbeck noise is lowpass filtered white noise.
\includegraphics[width=0.45\textwidth]{lifouisihdistr08-100ms}\hfill
\includegraphics[width=0.45\textwidth]{lifouisihdistr16-100ms}\\
More peaky than the inverse Gaussian!
\end{frame}
\begin{frame}
\frametitle{Interval return map of LIF with OU noise}
LIF $I=15.7$, $\tau_{OU}=100$\,ms:
\includegraphics[width=1\textwidth]{lifoureturnmap16-100ms}
\end{frame}
\begin{frame}
\frametitle{Serial correlations of LIF with OU noise}
LIF $I=15.7$, $\tau_{OU}=100$\,ms:
\includegraphics[width=1\textwidth]{lifouserial16-100ms}\\
OU-noise introduces positive interval correlations!
\end{frame}
\begin{frame}
\frametitle{Count statistics of LIF with OU noise}
LIF $I=15.7$, $\tau_{OU}=100$\,ms:
\includegraphics[width=1\textwidth]{lifoufano16-100ms}\\
Fano factor increases with count window duration.
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}
\frametitle{Interval statistics of LIF with adaptation}
\begin{eqnarray*}
\tau \frac{dV}{dt} & = & -V - A + RI + D\xi \\
\tau_{adapt} \frac{dA}{dt} & = & - A
\end{eqnarray*}
Adaptation $A$ with time constant $\tau_{adapt}$ and increment $\Delta A$ at spike.
\includegraphics[width=0.45\textwidth]{lifadaptisihdistr08-100ms}\hfill
\includegraphics[width=0.45\textwidth]{lifadaptisihdistr65-100ms}\\
Similar to LIF with white noise.
\end{frame}
\begin{frame}
\frametitle{Interval return map of LIF with adaptation}
LIF $I=10$, $\tau_{adapt}=100$\,ms:
\includegraphics[width=1\textwidth]{lifadaptreturnmap10-100ms}\\
Negative correlation at lag one.
\end{frame}
\begin{frame}
\frametitle{Serial correlations of LIF with adaptation}
LIF $I=10$, $\tau_{adapt}=100$\,ms:
\includegraphics[width=1\textwidth]{lifadaptserial10-100ms}\\
Adaptation with white noise introduces negative interval correlations!
\end{frame}
\begin{frame}
\frametitle{Count statistics of LIF with adaptation}
LIF $I=10$, $\tau_{adapt}=100$\,ms:
\includegraphics[width=1\textwidth]{lifadaptfano10-100ms}\\
Fano factor decreases with count window duration.
\end{frame}
\end{document}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section{Non stationary}
\subsection{Inhomogeneous Poisson process}
\subsection{Firing rate}
\subsection{Instantaneous rate}
\subsection{Autocorrelation}
\subsection{Crosscorrelation}
\subsection{Joint PSTH}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section{Renewal process}
\subsection{Superthreshold firing}
\subsection{Subthreshold firing}
\section{Non-renewal processes}
\subsection{Bursting}
\subsection{Resonator}
\subsection{Standard distributions}
\subsubsection{Gamma}
\subsubsection{How to read ISI histograms}
refractoriness, poisson tail, sub-, supra-threshold, missed spikes
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section{Correlation with stimulus}
\subsection{Tuning curve}
\subsection{Linear filter}
\subsection{Spatiotemporal receptive field}
\subsection{Generalized linear model}
\begin{frame}
\end{frame}

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/Title (pointprocessscetchB.tex)
/Subject (gnuplot plot)
/Creator (gnuplot 4.6 patchlevel 4)
/Author (jan)
% /Producer (gnuplot)
% /Keywords ()
/CreationDate (Sun Oct 26 17:34:18 2014)
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%%Trailer

View File

@@ -0,0 +1,204 @@
set out 'pointprocessscetchB.tex'
set border 0
set lmarg 4
set rmarg 1
set tmarg 1
set bmarg 1
set xrange [0:11]
unset xtics
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set multiplot
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set size 1, 0.3
set label 1 '\normalsize Event times $\{t_i\}$'
set arrow 1 from 0, 0.5 to 11, 0.5 head filled
set label 2 'Time' at 11, -0.3 center
set label 3 "$t_{1}$" at 0.724649, -0.6 center
set label 4 "$t_{2}$" at 1.67586, -0.6 center
set label 5 "$t_{3}$" at 3.02389, -0.6 center
set label 6 "$t_{4}$" at 3.57466, -0.6 center
set label 7 "$t_{5}$" at 4.15121, -0.6 center
set label 8 "$t_{6}$" at 5.00412, -0.6 center
set label 9 "$t_{7}$" at 6.64549, -0.6 center
set label 10 "$t_{8}$" at 7.81657, -0.6 center
set label 11 "$t_{9}$" at 9.77964, -0.6 center
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e
unset label 3
unset label 4
unset label 5
unset label 6
unset label 7
unset label 8
unset label 9
unset label 10
unset label 11
set origin 0, 0.4
set label 1 '\normalsize Intervals $\{T_i\}, \; T_i = t_{i+1} - t_i$'
set label 3 "$T_{1}$" at 1.20025, -0.5 center
set arrow 3 from 0.724649, 0.2 to 1.67586, 0.2 heads
set label 4 "$T_{2}$" at 2.34987, -0.5 center
set arrow 4 from 1.67586, 0.2 to 3.02389, 0.2 heads
set label 5 "$T_{3}$" at 3.29927, -0.5 center
set arrow 5 from 3.02389, 0.2 to 3.57466, 0.2 heads
set label 6 "$T_{4}$" at 3.86293, -0.5 center
set arrow 6 from 3.57466, 0.2 to 4.15121, 0.2 heads
set label 7 "$T_{5}$" at 4.57767, -0.5 center
set arrow 7 from 4.15121, 0.2 to 5.00412, 0.2 heads
set label 8 "$T_{6}$" at 5.82481, -0.5 center
set arrow 8 from 5.00412, 0.2 to 6.64549, 0.2 heads
set label 9 "$T_{7}$" at 7.23103, -0.5 center
set arrow 9 from 6.64549, 0.2 to 7.81657, 0.2 heads
set label 10 "$T_{8}$" at 8.79811, -0.5 center
set arrow 10 from 7.81657, 0.2 to 9.77964, 0.2 heads
plot '-' w l lt 1 lc rgb 'black' lw 10
0.724649 0
0.724649 1
1.67586 0
1.67586 1
3.02389 0
3.02389 1
3.57466 0
3.57466 1
4.15121 0
4.15121 1
5.00412 0
5.00412 1
6.64549 0
6.64549 1
7.81657 0
7.81657 1
9.77964 0
9.77964 1
e
unset label 3
unset label 4
unset label 5
unset label 6
unset label 7
unset label 8
unset label 9
unset label 10
unset arrow 3
unset arrow 4
unset arrow 5
unset arrow 6
unset arrow 7
unset arrow 8
unset arrow 9
unset arrow 10
set origin 0, 0
set size 1, 0.4
set border 2
set yrange [-0.5:10.5]
set ytics 2 nomirror out
set arrow 1 from 0, 0.0 to 11, 0.0 head filled
set label 2 'Time' at 11, -2.2 center
set label 1 '\normalsize Event counts $\{ n_i \}$' at graph -0.07, graph 1.2
plot '-' w l lt 1 lc rgb 'black' lw 3, \
'-' w p lt 1 lc rgb 'black' pt 7 ps 1.5 lw 2, \
'-' w p lt 1 lc rgb 'white' pt 7 ps 1.0 lw 2, \
'-' w p lt 1 lc rgb 'black' pt 7 ps 1.5 lw 2
0 0
0.724649 0
0.724649 1
1.67586 1
1.67586 2
3.02389 2
3.02389 3
3.57466 3
3.57466 4
4.15121 4
4.15121 5
5.00412 5
5.00412 6
6.64549 6
6.64549 7
7.81657 7
7.81657 8
9.77964 8
9.77964 9
10.7899 9
e
0.724649 0
1.67586 1
3.02389 2
3.57466 3
4.15121 4
5.00412 5
6.64549 6
7.81657 7
9.77964 8
e
0.724649 0
1.67586 1
3.02389 2
3.57466 3
4.15121 4
5.00412 5
6.64549 6
7.81657 7
9.77964 8
e
0.724649 1
1.67586 2
3.02389 3
3.57466 4
4.15121 5
5.00412 6
6.64549 7
7.81657 8
9.77964 9
e
unset multiplot

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@@ -0,0 +1,130 @@
% GNUPLOT: LaTeX picture with Postscript
\begingroup
\makeatletter
\providecommand\color[2][]{%
\GenericError{(gnuplot) \space\space\space\@spaces}{%
Package color not loaded in conjunction with
terminal option `colourtext'%
}{See the gnuplot documentation for explanation.%
}{Either use 'blacktext' in gnuplot or load the package
color.sty in LaTeX.}%
\renewcommand\color[2][]{}%
}%
\providecommand\includegraphics[2][]{%
\GenericError{(gnuplot) \space\space\space\@spaces}{%
Package graphicx or graphics not loaded%
}{See the gnuplot documentation for explanation.%
}{The gnuplot epslatex terminal needs graphicx.sty or graphics.sty.}%
\renewcommand\includegraphics[2][]{}%
}%
\providecommand\rotatebox[2]{#2}%
\@ifundefined{ifGPcolor}{%
\newif\ifGPcolor
\GPcolortrue
}{}%
\@ifundefined{ifGPblacktext}{%
\newif\ifGPblacktext
\GPblacktexttrue
}{}%
% define a \g@addto@macro without @ in the name:
\let\gplgaddtomacro\g@addto@macro
% define empty templates for all commands taking text:
\gdef\gplbacktext{}%
\gdef\gplfronttext{}%
\makeatother
\ifGPblacktext
% no textcolor at all
\def\colorrgb#1{}%
\def\colorgray#1{}%
\else
% gray or color?
\ifGPcolor
\def\colorrgb#1{\color[rgb]{#1}}%
\def\colorgray#1{\color[gray]{#1}}%
\expandafter\def\csname LTw\endcsname{\color{white}}%
\expandafter\def\csname LTb\endcsname{\color{black}}%
\expandafter\def\csname LTa\endcsname{\color{black}}%
\expandafter\def\csname LT0\endcsname{\color[rgb]{1,0,0}}%
\expandafter\def\csname LT1\endcsname{\color[rgb]{0,1,0}}%
\expandafter\def\csname LT2\endcsname{\color[rgb]{0,0,1}}%
\expandafter\def\csname LT3\endcsname{\color[rgb]{1,0,1}}%
\expandafter\def\csname LT4\endcsname{\color[rgb]{0,1,1}}%
\expandafter\def\csname LT5\endcsname{\color[rgb]{1,1,0}}%
\expandafter\def\csname LT6\endcsname{\color[rgb]{0,0,0}}%
\expandafter\def\csname LT7\endcsname{\color[rgb]{1,0.3,0}}%
\expandafter\def\csname LT8\endcsname{\color[rgb]{0.5,0.5,0.5}}%
\else
% gray
\def\colorrgb#1{\color{black}}%
\def\colorgray#1{\color[gray]{#1}}%
\expandafter\def\csname LTw\endcsname{\color{white}}%
\expandafter\def\csname LTb\endcsname{\color{black}}%
\expandafter\def\csname LTa\endcsname{\color{black}}%
\expandafter\def\csname LT0\endcsname{\color{black}}%
\expandafter\def\csname LT1\endcsname{\color{black}}%
\expandafter\def\csname LT2\endcsname{\color{black}}%
\expandafter\def\csname LT3\endcsname{\color{black}}%
\expandafter\def\csname LT4\endcsname{\color{black}}%
\expandafter\def\csname LT5\endcsname{\color{black}}%
\expandafter\def\csname LT6\endcsname{\color{black}}%
\expandafter\def\csname LT7\endcsname{\color{black}}%
\expandafter\def\csname LT8\endcsname{\color{black}}%
\fi
\fi
\setlength{\unitlength}{0.0500bp}%
\begin{picture}(6462.00,3740.00)%
\gplgaddtomacro\gplbacktext{%
\csname LTb\endcsname%
\put(122,3587){\makebox(0,0)[l]{\strut{}\normalsize Event times $\{t_i\}$}}%
\put(6329,2947){\makebox(0,0){\strut{}Time}}%
\put(910,2865){\makebox(0,0){\strut{}$t_{1}$}}%
\put(1412,2865){\makebox(0,0){\strut{}$t_{2}$}}%
\put(2123,2865){\makebox(0,0){\strut{}$t_{3}$}}%
\put(2413,2865){\makebox(0,0){\strut{}$t_{4}$}}%
\put(2717,2865){\makebox(0,0){\strut{}$t_{5}$}}%
\put(3167,2865){\makebox(0,0){\strut{}$t_{6}$}}%
\put(4033,2865){\makebox(0,0){\strut{}$t_{7}$}}%
\put(4650,2865){\makebox(0,0){\strut{}$t_{8}$}}%
\put(5685,2865){\makebox(0,0){\strut{}$t_{9}$}}%
}%
\gplgaddtomacro\gplfronttext{%
}%
\gplgaddtomacro\gplbacktext{%
\csname LTb\endcsname%
\put(122,2465){\makebox(0,0)[l]{\strut{}\normalsize Intervals $\{T_i\}, \; T_i = t_{i+1} - t_i$}}%
\put(6329,1825){\makebox(0,0){\strut{}Time}}%
\put(1161,1770){\makebox(0,0){\strut{}$T_{1}$}}%
\put(1767,1770){\makebox(0,0){\strut{}$T_{2}$}}%
\put(2268,1770){\makebox(0,0){\strut{}$T_{3}$}}%
\put(2565,1770){\makebox(0,0){\strut{}$T_{4}$}}%
\put(2942,1770){\makebox(0,0){\strut{}$T_{5}$}}%
\put(3600,1770){\makebox(0,0){\strut{}$T_{6}$}}%
\put(4341,1770){\makebox(0,0){\strut{}$T_{7}$}}%
\put(5168,1770){\makebox(0,0){\strut{}$T_{8}$}}%
}%
\gplgaddtomacro\gplfronttext{%
}%
\gplgaddtomacro\gplbacktext{%
\colorrgb{0.00,0.00,0.00}%
\put(333,268){\makebox(0,0)[r]{\strut{}$0$}}%
\colorrgb{0.00,0.00,0.00}%
\put(333,460){\makebox(0,0)[r]{\strut{}$2$}}%
\colorrgb{0.00,0.00,0.00}%
\put(333,652){\makebox(0,0)[r]{\strut{}$4$}}%
\colorrgb{0.00,0.00,0.00}%
\put(333,844){\makebox(0,0)[r]{\strut{}$6$}}%
\colorrgb{0.00,0.00,0.00}%
\put(333,1036){\makebox(0,0)[r]{\strut{}$8$}}%
\colorrgb{0.00,0.00,0.00}%
\put(333,1228){\makebox(0,0)[r]{\strut{}$10$}}%
\csname LTb\endcsname%
\put(122,1487){\makebox(0,0)[l]{\strut{}\normalsize Event counts $\{ n_i \}$}}%
\put(6329,57){\makebox(0,0){\strut{}Time}}%
}%
\gplgaddtomacro\gplfronttext{%
}%
\gplbacktext
\put(0,0){\includegraphics{pointprocessscetchB}}%
\gplfronttext
\end{picture}%
\endgroup

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@@ -0,0 +1,67 @@
set tics scale 0.8
set tics out
set format '$%g$'
unset grid
unset key
# on white background:
set style line 1 lt -1 lc rgb "black" lw 2 # border
set border back ls 1
set style line 2 lt 1 lc rgb "black" lw 4 pt 7 ps 2 # thick line
set style line 3 lt 1 lc rgb "black" lw 2 # thin line
set style line 4 lt 3 lc rgb "black" lw 1 # grid line
set style line 10 lt 1 lc rgb "#00DD00" lw 6 # stimulus thick, AM
set style line 11 lt 1 lc rgb "#00DD00" lw 3 # stimulus thin, AM
set style line 15 lt 1 lc rgb "black" lw 15 # stimulus bar
set style line 20 lt 1 lc rgb "yellow" lw 4 # thin spikes cell 1
set style line 21 lt 1 lc rgb "orange" lw 4 # thin spikes cell 2
set style line 22 lt 1 lc rgb "yellow" lw 6 # thick spikes cell 1
set style line 23 lt 1 lc rgb "orange" lw 6 # thick spikes cell 2
set style line 24 lt 1 lc rgb "blue" lw 22 # big sync spikes
set style line 25 lt 1 lc rgb "blue" lw 6 # thick sync spikes
set style line 26 lt 1 lc rgb "orange" lw 4 # all spikes
set style line 30 lt 1 lc rgb "dark-red" lw 6 pt 7 ps 2 # firing rate 1 thick
set style line 31 lt 1 lc rgb "red" lw 6 pt 7 ps 2 # firing rate 2 thick
set style line 32 lt 1 lc rgb "orange" lw 6 pt 7 ps 2 # firing rate 3 thick
set style line 33 lt 1 lc rgb "blue" lw 6 pt 7 ps 2 # firing rate 4 thick
set style line 34 lt 1 lc rgb "gray" lw 6 # firing rate gray thick
set style line 35 lt 1 lc rgb "dark-red" lw 3 pt 7 ps 0.7 # firing rate 1 thin
set style line 36 lt 1 lc rgb "red" lw 3 # firing rate 2 thin
set style line 37 lt 1 lc rgb "orange" lw 3 # firing rate 3 thin
set style line 38 lt 1 lc rgb "blue" lw 3 # firing rate 4 thin
set style line 39 lt 1 lc rgb "gray" lw 3 # firing rate gray thin
set style line 40 lt 1 lc rgb "green" lw 6 pt 5 ps 2 # onset f-I curve thick
set style line 41 lt 1 lc rgb "green" lw 3 pt 5 ps 2 # onset f-I curve thin
set style line 42 lt 1 lc rgb "red" lw 6 pt 7 ps 2 # steady-state f-I curve thick
set style line 43 lt 1 lc rgb "red" lw 3 pt 7 ps 2 # steady-state f-I curve thin
set style line 44 lt 1 lc rgb "blue" lw 6 pt 9 ps 2 # adapted f-I curve thick
set style line 45 lt 1 lc rgb "blue" lw 3 pt 9 ps 2 # adapted f-I curve thin
set style line 47 lt 1 lc rgb "cyan" lw 6 # adaptation level thick
set style line 48 lt 1 lc rgb "cyan" lw 3 # adaptation level thin
set style line 49 lt 1 lc rgb "yellow" lw 3 pt 7 ps 4 # current adaptation point
set style line 50 lt 1 lc rgb "dark-red" lw 4 # membrane voltage 1
set style line 51 lt 1 lc rgb "red" lw 4 # membrane voltage 2
set style line 52 lt 1 lc rgb "orange" lw 4 # membrane voltage 3
set style line 55 lt 1 lc rgb "orange" lw 4 # nerve potential
set style line 60 lt 1 lc rgb "blue" lw 4 # gating variable
set style line 61 lt 1 lc rgb "cyan" lw 4 # gating variable average
set style line 70 lt 1 lc rgb "red" lw 4 # ionic current
set style line 71 lt 1 lc rgb "orange" lw 4 # ionic current average
set style line 80 lt 1 lc rgb "#77FFFF" lw 4 pt 13 ps 2.4# baseline
set style line 81 lt 1 lc rgb "#FF5533" lw 4 pt 9 ps 2.8 # beat
set style line 82 lt 1 lc rgb "yellow" lw 4 pt 7 ps 2.4 # chirp
set style line 83 lt 1 lc rgb "#FF7700" lw 4 pt 11 ps 2.8# beat shuffled
set style line 84 lt 1 lc rgb "#FFAA00" lw 4 pt 5 ps 2.2 # chirp shuffled
set style line 90 lt 1 lc rgb "#77FFFF" lw 2 # EOD thin
set style line 91 lt 1 lc rgb "#77FFFF" lw 4 # EOD thick
set term epslatex input color dashed rounded size 11.4cm, 6.6cm