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How to place a Parabola/Distribution on top of a node in Tikz?
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I'm trying right now to place a distribution (preferably a Gaussian curve) on top of a node within TikzPicture. The distribution should ideally be slightly offset vertically from the node, although that is not essential. The code I am trying to extend is as follows:
begintikzpicture[shorten >=1pt,->,draw=black!50, node distance=2.5cm, scale=1.5]
tikzstyleevery pin edge=[<-,shorten <=1pt]
tikzstyleneuron=[circle,fill=black!25,minimum size=17pt,inner sep=0pt]
tikzstyleinput neuron=[neuron, fill=green!50];
tikzstyleoutput neuron=[neuron, fill=red!50];
tikzstylehidden neuron=[neuron, fill=blue!50];
tikzstyleannot = [text width=4em, text centered]
% Draw the input layer nodes
foreach name / y in 1,...,4
% This is the same as writing foreach name / y in 1/1,2/2,3/3,4/4
node[input neuron, pin=left:Input y] (I-name) at (0,-y) ;
% Draw the hidden layer nodes
foreach name / y in 1,...,5
path[yshift=0.5cm]
node[hidden neuron] (H-name) at (2.5cm,-y cm) ;
% Draw the output layer node
node[output neuron,pin=[pin edge=->]right:Output, right of=H-3] (O) ;
% Connect every node in the input layer with every node in the
% hidden layer.
foreach source in 1,...,4
foreach dest in 1,...,5
path (I-source) edge (H-dest);
% Connect every node in the hidden layer with the output layer
foreach source in 1,...,5
path (H-source) edge (O);
% Annotate the layers
node[annot,above of=H-1, node distance=1cm] (hl) Hidden layer;
node[annot,above of=I-1, node distance=1cm] Input layer;
node[annot,above of=O] Output layer;
endtikzpicture
Resulting in
What I would ideally have is something similar to the following:
tikz-pgf nodes edge
edited Aug 21 at 11:28
Phelype Oleinik
16k33466
asked Aug 21 at 11:25
Tom Pinder
133
add a comment |Â
up vote
2
down vote
favorite
I'm trying right now to place a distribution (preferably a Gaussian curve) on top of a node within TikzPicture. The distribution should ideally be slightly offset vertically from the node, although that is not essential. The code I am trying to extend is as follows:
begintikzpicture[shorten >=1pt,->,draw=black!50, node distance=2.5cm, scale=1.5]
tikzstyleevery pin edge=[<-,shorten <=1pt]
tikzstyleneuron=[circle,fill=black!25,minimum size=17pt,inner sep=0pt]
tikzstyleinput neuron=[neuron, fill=green!50];
tikzstyleoutput neuron=[neuron, fill=red!50];
tikzstylehidden neuron=[neuron, fill=blue!50];
tikzstyleannot = [text width=4em, text centered]
% Draw the input layer nodes
foreach name / y in 1,...,4
% This is the same as writing foreach name / y in 1/1,2/2,3/3,4/4
node[input neuron, pin=left:Input y] (I-name) at (0,-y) ;
% Draw the hidden layer nodes
foreach name / y in 1,...,5
path[yshift=0.5cm]
node[hidden neuron] (H-name) at (2.5cm,-y cm) ;
% Draw the output layer node
node[output neuron,pin=[pin edge=->]right:Output, right of=H-3] (O) ;
% Connect every node in the input layer with every node in the
% hidden layer.
foreach source in 1,...,4
foreach dest in 1,...,5
path (I-source) edge (H-dest);
% Connect every node in the hidden layer with the output layer
foreach source in 1,...,5
path (H-source) edge (O);
% Annotate the layers
node[annot,above of=H-1, node distance=1cm] (hl) Hidden layer;
node[annot,above of=I-1, node distance=1cm] Input layer;
node[annot,above of=O] Output layer;
endtikzpicture
Resulting in
What I would ideally have is something similar to the following:
tikz-pgf nodes edge
edited Aug 21 at 11:28
Phelype Oleinik
16k33466
asked Aug 21 at 11:25
Tom Pinder
133
add a comment |Â
up vote
2
down vote
favorite
up vote
2
down vote
favorite
I'm trying right now to place a distribution (preferably a Gaussian curve) on top of a node within TikzPicture. The distribution should ideally be slightly offset vertically from the node, although that is not essential. The code I am trying to extend is as follows:
begintikzpicture[shorten >=1pt,->,draw=black!50, node distance=2.5cm, scale=1.5]
tikzstyleevery pin edge=[<-,shorten <=1pt]
tikzstyleneuron=[circle,fill=black!25,minimum size=17pt,inner sep=0pt]
tikzstyleinput neuron=[neuron, fill=green!50];
tikzstyleoutput neuron=[neuron, fill=red!50];
tikzstylehidden neuron=[neuron, fill=blue!50];
tikzstyleannot = [text width=4em, text centered]
% Draw the input layer nodes
foreach name / y in 1,...,4
% This is the same as writing foreach name / y in 1/1,2/2,3/3,4/4
node[input neuron, pin=left:Input y] (I-name) at (0,-y) ;
% Draw the hidden layer nodes
foreach name / y in 1,...,5
path[yshift=0.5cm]
node[hidden neuron] (H-name) at (2.5cm,-y cm) ;
% Draw the output layer node
node[output neuron,pin=[pin edge=->]right:Output, right of=H-3] (O) ;
% Connect every node in the input layer with every node in the
% hidden layer.
foreach source in 1,...,4
foreach dest in 1,...,5
path (I-source) edge (H-dest);
% Connect every node in the hidden layer with the output layer
foreach source in 1,...,5
path (H-source) edge (O);
% Annotate the layers
node[annot,above of=H-1, node distance=1cm] (hl) Hidden layer;
node[annot,above of=I-1, node distance=1cm] Input layer;
node[annot,above of=O] Output layer;
endtikzpicture
Resulting in
What I would ideally have is something similar to the following:
tikz-pgf nodes edge
edited Aug 21 at 11:28
Phelype Oleinik
16k33466
asked Aug 21 at 11:25
Tom Pinder
133
I'm trying right now to place a distribution (preferably a Gaussian curve) on top of a node within TikzPicture. The distribution should ideally be slightly offset vertically from the node, although that is not essential. The code I am trying to extend is as follows:
begintikzpicture[shorten >=1pt,->,draw=black!50, node distance=2.5cm, scale=1.5]
tikzstyleevery pin edge=[<-,shorten <=1pt]
tikzstyleneuron=[circle,fill=black!25,minimum size=17pt,inner sep=0pt]
tikzstyleinput neuron=[neuron, fill=green!50];
tikzstyleoutput neuron=[neuron, fill=red!50];
tikzstylehidden neuron=[neuron, fill=blue!50];
tikzstyleannot = [text width=4em, text centered]
% Draw the input layer nodes
foreach name / y in 1,...,4
% This is the same as writing foreach name / y in 1/1,2/2,3/3,4/4
node[input neuron, pin=left:Input y] (I-name) at (0,-y) ;
% Draw the hidden layer nodes
foreach name / y in 1,...,5
path[yshift=0.5cm]
node[hidden neuron] (H-name) at (2.5cm,-y cm) ;
% Draw the output layer node
node[output neuron,pin=[pin edge=->]right:Output, right of=H-3] (O) ;
% Connect every node in the input layer with every node in the
% hidden layer.
foreach source in 1,...,4
foreach dest in 1,...,5
path (I-source) edge (H-dest);
% Connect every node in the hidden layer with the output layer
foreach source in 1,...,5
path (H-source) edge (O);
% Annotate the layers
node[annot,above of=H-1, node distance=1cm] (hl) Hidden layer;
node[annot,above of=I-1, node distance=1cm] Input layer;
node[annot,above of=O] Output layer;
endtikzpicture
Resulting in
What I would ideally have is something similar to the following:
tikz-pgf nodes edge
edited Aug 21 at 11:28
Phelype Oleinik
16k33466
asked Aug 21 at 11:25
Tom Pinder
133
edited Aug 21 at 11:28
Phelype Oleinik
16k33466
edited Aug 21 at 11:28
Phelype Oleinik
16k33466
edited Aug 21 at 11:28
Phelype Oleinik
16k33466
16k33466
asked Aug 21 at 11:25
Tom Pinder
133
asked Aug 21 at 11:25
Tom Pinder
133
asked Aug 21 at 11:25
Tom Pinder
133
133
add a comment |Â
add a comment |Â
2 Answers
2
active
oldest
votes
up vote
5
down vote
accepted
You can embed it in the neuron style with the path picture key:
neuron/.style=
circle,fill=black!25,minimum size=17pt,inner sep=0pt,
path picture=
draw[red,thick,-] plot[domain=-0.3:0.3,samples=11,smooth] (x,0.05*g(x));
,
,
I've defined the Gaussian as
tikzset
declare function=
sig = 0.1;
mu = 0;
g(x) = 1/(sig*sqrt(2*pi)) * exp(-1/2 * ((x-mu)/sig)^2);
This results in:
Note that I also changed your tikzstyle commands, because it is considered deprecated.
Complete MWE:
documentclass[tikz,margin=2mm]standalone
usepackagetikz
tikzset
declare function=
sig = 0.1;
mu = 0;
g(x) = 1/(sig*sqrt(2*pi)) * exp(-1/2 * ((x-mu)/sig)^2);
begindocument
begintikzpicture[
shorten >=1pt,
->,
draw=black!50,
node distance=2.5cm,
scale=1.5,
every pin edge/.style=<-,shorten <=1pt,
neuron/.style=
circle,fill=black!25,minimum size=17pt,inner sep=0pt,
path picture=
draw[red,thick,-] plot[domain=-0.3:0.3,samples=11,smooth] (x,0.05*g(x));
,
,
input neuron/.style=neuron, fill=green!50,
output neuron/.style=neuron, fill=red!50,
hidden neuron/.style=neuron, fill=blue!50,
annot/.style=text width=4em, text centered,
]
% Draw the input layer nodes
foreach name / y in 1,...,4
% This is the same as writing foreach name / y in 1/1,2/2,3/3,4/4
node[input neuron, pin=left:Input y] (I-name) at (0,-y) ;
% Draw the hidden layer nodes
foreach name / y in 1,...,5
path[yshift=0.5cm]
node[hidden neuron] (H-name) at (2.5cm,-y cm) ;
% Draw the output layer node
node[output neuron,pin=[pin edge=->]right:Output, right of=H-3] (O) ;
% Connect every node in the input layer with every node in the
% hidden layer.
foreach source in 1,...,4
foreach dest in 1,...,5
path (I-source) edge (H-dest);
% Connect every node in the hidden layer with the output layer
foreach source in 1,...,5
path (H-source) edge (O);
% Annotate the layers
node[annot,above of=H-1, node distance=1cm] (hl) Hidden layer;
node[annot,above of=I-1, node distance=1cm] Input layer;
node[annot,above of=O] Output layer;
endtikzpicture
enddocument
answered Aug 21 at 14:07
Max
5,89811727
add a comment |Â
up vote
1
down vote
Pretty bad code, but it works (node style – only works when using scalebox with scale factor unqeual to 0 or 1 and some othre bugs):
documentclass[border=.5cm,tikz]standalone
tikzset
neuron/.style=
append after command=
pgfextra
node[thick,draw=blue!70,fill=blue!20,circle,inner sep=1cm] (a) at (tikzlastnode) ;
draw[thick,red] (a.west) parabola ([xshift=1cm,yshift=.5cm]a.west) to[bend left=50] ([xshift=-1cm,yshift=.5cm]a.east);
draw[thick,red] (a.east) parabola ([xshift=-1cm,yshift=.5cm]a.east);
begindocument
begintikzpicture
scalebox.5[.5]node[neuron] at (0,0) ;
endtikzpicture
enddocument
The output:
answered Aug 21 at 11:54
current_user
2,419428
1
It seems that this works in isolation, however, it causes an error when integrated into the code snippet I pasted in the original question. Do you know this is?
– Tom Pinder
Aug 21 at 12:54
add a comment |Â
2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
5
down vote
accepted
You can embed it in the neuron style with the path picture key:
neuron/.style=
circle,fill=black!25,minimum size=17pt,inner sep=0pt,
path picture=
draw[red,thick,-] plot[domain=-0.3:0.3,samples=11,smooth] (x,0.05*g(x));
,
,
I've defined the Gaussian as
tikzset
declare function=
sig = 0.1;
mu = 0;
g(x) = 1/(sig*sqrt(2*pi)) * exp(-1/2 * ((x-mu)/sig)^2);
This results in:
Note that I also changed your tikzstyle commands, because it is considered deprecated.
Complete MWE:
documentclass[tikz,margin=2mm]standalone
usepackagetikz
tikzset
declare function=
sig = 0.1;
mu = 0;
g(x) = 1/(sig*sqrt(2*pi)) * exp(-1/2 * ((x-mu)/sig)^2);
begindocument
begintikzpicture[
shorten >=1pt,
->,
draw=black!50,
node distance=2.5cm,
scale=1.5,
every pin edge/.style=<-,shorten <=1pt,
neuron/.style=
circle,fill=black!25,minimum size=17pt,inner sep=0pt,
path picture=
draw[red,thick,-] plot[domain=-0.3:0.3,samples=11,smooth] (x,0.05*g(x));
,
,
input neuron/.style=neuron, fill=green!50,
output neuron/.style=neuron, fill=red!50,
hidden neuron/.style=neuron, fill=blue!50,
annot/.style=text width=4em, text centered,
]
% Draw the input layer nodes
foreach name / y in 1,...,4
% This is the same as writing foreach name / y in 1/1,2/2,3/3,4/4
node[input neuron, pin=left:Input y] (I-name) at (0,-y) ;
% Draw the hidden layer nodes
foreach name / y in 1,...,5
path[yshift=0.5cm]
node[hidden neuron] (H-name) at (2.5cm,-y cm) ;
% Draw the output layer node
node[output neuron,pin=[pin edge=->]right:Output, right of=H-3] (O) ;
% Connect every node in the input layer with every node in the
% hidden layer.
foreach source in 1,...,4
foreach dest in 1,...,5
path (I-source) edge (H-dest);
% Connect every node in the hidden layer with the output layer
foreach source in 1,...,5
path (H-source) edge (O);
% Annotate the layers
node[annot,above of=H-1, node distance=1cm] (hl) Hidden layer;
node[annot,above of=I-1, node distance=1cm] Input layer;
node[annot,above of=O] Output layer;
endtikzpicture
enddocument
answered Aug 21 at 14:07
Max
5,89811727
add a comment |Â
up vote
5
down vote
accepted
You can embed it in the neuron style with the path picture key:
neuron/.style=
circle,fill=black!25,minimum size=17pt,inner sep=0pt,
path picture=
draw[red,thick,-] plot[domain=-0.3:0.3,samples=11,smooth] (x,0.05*g(x));
,
,
I've defined the Gaussian as
tikzset
declare function=
sig = 0.1;
mu = 0;
g(x) = 1/(sig*sqrt(2*pi)) * exp(-1/2 * ((x-mu)/sig)^2);
This results in:
Note that I also changed your tikzstyle commands, because it is considered deprecated.
Complete MWE:
documentclass[tikz,margin=2mm]standalone
usepackagetikz
tikzset
declare function=
sig = 0.1;
mu = 0;
g(x) = 1/(sig*sqrt(2*pi)) * exp(-1/2 * ((x-mu)/sig)^2);
begindocument
begintikzpicture[
shorten >=1pt,
->,
draw=black!50,
node distance=2.5cm,
scale=1.5,
every pin edge/.style=<-,shorten <=1pt,
neuron/.style=
circle,fill=black!25,minimum size=17pt,inner sep=0pt,
path picture=
draw[red,thick,-] plot[domain=-0.3:0.3,samples=11,smooth] (x,0.05*g(x));
,
,
input neuron/.style=neuron, fill=green!50,
output neuron/.style=neuron, fill=red!50,
hidden neuron/.style=neuron, fill=blue!50,
annot/.style=text width=4em, text centered,
]
% Draw the input layer nodes
foreach name / y in 1,...,4
% This is the same as writing foreach name / y in 1/1,2/2,3/3,4/4
node[input neuron, pin=left:Input y] (I-name) at (0,-y) ;
% Draw the hidden layer nodes
foreach name / y in 1,...,5
path[yshift=0.5cm]
node[hidden neuron] (H-name) at (2.5cm,-y cm) ;
% Draw the output layer node
node[output neuron,pin=[pin edge=->]right:Output, right of=H-3] (O) ;
% Connect every node in the input layer with every node in the
% hidden layer.
foreach source in 1,...,4
foreach dest in 1,...,5
path (I-source) edge (H-dest);
% Connect every node in the hidden layer with the output layer
foreach source in 1,...,5
path (H-source) edge (O);
% Annotate the layers
node[annot,above of=H-1, node distance=1cm] (hl) Hidden layer;
node[annot,above of=I-1, node distance=1cm] Input layer;
node[annot,above of=O] Output layer;
endtikzpicture
enddocument
answered Aug 21 at 14:07
Max
5,89811727
add a comment |Â
up vote
5
down vote
accepted
up vote
5
down vote
accepted
You can embed it in the neuron style with the path picture key:
neuron/.style=
circle,fill=black!25,minimum size=17pt,inner sep=0pt,
path picture=
draw[red,thick,-] plot[domain=-0.3:0.3,samples=11,smooth] (x,0.05*g(x));
,
,
I've defined the Gaussian as
tikzset
declare function=
sig = 0.1;
mu = 0;
g(x) = 1/(sig*sqrt(2*pi)) * exp(-1/2 * ((x-mu)/sig)^2);
This results in:
Note that I also changed your tikzstyle commands, because it is considered deprecated.
Complete MWE:
documentclass[tikz,margin=2mm]standalone
usepackagetikz
tikzset
declare function=
sig = 0.1;
mu = 0;
g(x) = 1/(sig*sqrt(2*pi)) * exp(-1/2 * ((x-mu)/sig)^2);
begindocument
begintikzpicture[
shorten >=1pt,
->,
draw=black!50,
node distance=2.5cm,
scale=1.5,
every pin edge/.style=<-,shorten <=1pt,
neuron/.style=
circle,fill=black!25,minimum size=17pt,inner sep=0pt,
path picture=
draw[red,thick,-] plot[domain=-0.3:0.3,samples=11,smooth] (x,0.05*g(x));
,
,
input neuron/.style=neuron, fill=green!50,
output neuron/.style=neuron, fill=red!50,
hidden neuron/.style=neuron, fill=blue!50,
annot/.style=text width=4em, text centered,
]
% Draw the input layer nodes
foreach name / y in 1,...,4
% This is the same as writing foreach name / y in 1/1,2/2,3/3,4/4
node[input neuron, pin=left:Input y] (I-name) at (0,-y) ;
% Draw the hidden layer nodes
foreach name / y in 1,...,5
path[yshift=0.5cm]
node[hidden neuron] (H-name) at (2.5cm,-y cm) ;
% Draw the output layer node
node[output neuron,pin=[pin edge=->]right:Output, right of=H-3] (O) ;
% Connect every node in the input layer with every node in the
% hidden layer.
foreach source in 1,...,4
foreach dest in 1,...,5
path (I-source) edge (H-dest);
% Connect every node in the hidden layer with the output layer
foreach source in 1,...,5
path (H-source) edge (O);
% Annotate the layers
node[annot,above of=H-1, node distance=1cm] (hl) Hidden layer;
node[annot,above of=I-1, node distance=1cm] Input layer;
node[annot,above of=O] Output layer;
endtikzpicture
enddocument
answered Aug 21 at 14:07
Max
5,89811727
You can embed it in the neuron style with the path picture key:
neuron/.style=
circle,fill=black!25,minimum size=17pt,inner sep=0pt,
path picture=
draw[red,thick,-] plot[domain=-0.3:0.3,samples=11,smooth] (x,0.05*g(x));
,
,
I've defined the Gaussian as
tikzset
declare function=
sig = 0.1;
mu = 0;
g(x) = 1/(sig*sqrt(2*pi)) * exp(-1/2 * ((x-mu)/sig)^2);
This results in:
Note that I also changed your tikzstyle commands, because it is considered deprecated.
Complete MWE:
documentclass[tikz,margin=2mm]standalone
usepackagetikz
tikzset
declare function=
sig = 0.1;
mu = 0;
g(x) = 1/(sig*sqrt(2*pi)) * exp(-1/2 * ((x-mu)/sig)^2);
begindocument
begintikzpicture[
shorten >=1pt,
->,
draw=black!50,
node distance=2.5cm,
scale=1.5,
every pin edge/.style=<-,shorten <=1pt,
neuron/.style=
circle,fill=black!25,minimum size=17pt,inner sep=0pt,
path picture=
draw[red,thick,-] plot[domain=-0.3:0.3,samples=11,smooth] (x,0.05*g(x));
,
,
input neuron/.style=neuron, fill=green!50,
output neuron/.style=neuron, fill=red!50,
hidden neuron/.style=neuron, fill=blue!50,
annot/.style=text width=4em, text centered,
]
% Draw the input layer nodes
foreach name / y in 1,...,4
% This is the same as writing foreach name / y in 1/1,2/2,3/3,4/4
node[input neuron, pin=left:Input y] (I-name) at (0,-y) ;
% Draw the hidden layer nodes
foreach name / y in 1,...,5
path[yshift=0.5cm]
node[hidden neuron] (H-name) at (2.5cm,-y cm) ;
% Draw the output layer node
node[output neuron,pin=[pin edge=->]right:Output, right of=H-3] (O) ;
% Connect every node in the input layer with every node in the
% hidden layer.
foreach source in 1,...,4
foreach dest in 1,...,5
path (I-source) edge (H-dest);
% Connect every node in the hidden layer with the output layer
foreach source in 1,...,5
path (H-source) edge (O);
% Annotate the layers
node[annot,above of=H-1, node distance=1cm] (hl) Hidden layer;
node[annot,above of=I-1, node distance=1cm] Input layer;
node[annot,above of=O] Output layer;
endtikzpicture
enddocument
answered Aug 21 at 14:07
Max
5,89811727
edited Aug 21 at 14:12
answered Aug 21 at 14:07
Max
5,89811727
answered Aug 21 at 14:07
Max
5,89811727
answered Aug 21 at 14:07
Max
5,89811727
5,89811727
add a comment |Â
add a comment |Â
up vote
1
down vote
Pretty bad code, but it works (node style – only works when using scalebox with scale factor unqeual to 0 or 1 and some othre bugs):
documentclass[border=.5cm,tikz]standalone
tikzset
neuron/.style=
append after command=
pgfextra
node[thick,draw=blue!70,fill=blue!20,circle,inner sep=1cm] (a) at (tikzlastnode) ;
draw[thick,red] (a.west) parabola ([xshift=1cm,yshift=.5cm]a.west) to[bend left=50] ([xshift=-1cm,yshift=.5cm]a.east);
draw[thick,red] (a.east) parabola ([xshift=-1cm,yshift=.5cm]a.east);
begindocument
begintikzpicture
scalebox.5[.5]node[neuron] at (0,0) ;
endtikzpicture
enddocument
The output:
answered Aug 21 at 11:54
current_user
2,419428
1
It seems that this works in isolation, however, it causes an error when integrated into the code snippet I pasted in the original question. Do you know this is?
– Tom Pinder
Aug 21 at 12:54
add a comment |Â
up vote
1
down vote
Pretty bad code, but it works (node style – only works when using scalebox with scale factor unqeual to 0 or 1 and some othre bugs):
documentclass[border=.5cm,tikz]standalone
tikzset
neuron/.style=
append after command=
pgfextra
node[thick,draw=blue!70,fill=blue!20,circle,inner sep=1cm] (a) at (tikzlastnode) ;
draw[thick,red] (a.west) parabola ([xshift=1cm,yshift=.5cm]a.west) to[bend left=50] ([xshift=-1cm,yshift=.5cm]a.east);
draw[thick,red] (a.east) parabola ([xshift=-1cm,yshift=.5cm]a.east);
begindocument
begintikzpicture
scalebox.5[.5]node[neuron] at (0,0) ;
endtikzpicture
enddocument
The output:
answered Aug 21 at 11:54
current_user
2,419428
1
It seems that this works in isolation, however, it causes an error when integrated into the code snippet I pasted in the original question. Do you know this is?
– Tom Pinder
Aug 21 at 12:54
add a comment |Â
up vote
1
down vote
up vote
1
down vote
Pretty bad code, but it works (node style – only works when using scalebox with scale factor unqeual to 0 or 1 and some othre bugs):
documentclass[border=.5cm,tikz]standalone
tikzset
neuron/.style=
append after command=
pgfextra
node[thick,draw=blue!70,fill=blue!20,circle,inner sep=1cm] (a) at (tikzlastnode) ;
draw[thick,red] (a.west) parabola ([xshift=1cm,yshift=.5cm]a.west) to[bend left=50] ([xshift=-1cm,yshift=.5cm]a.east);
draw[thick,red] (a.east) parabola ([xshift=-1cm,yshift=.5cm]a.east);
begindocument
begintikzpicture
scalebox.5[.5]node[neuron] at (0,0) ;
endtikzpicture
enddocument
The output:
answered Aug 21 at 11:54
current_user
2,419428
Pretty bad code, but it works (node style – only works when using scalebox with scale factor unqeual to 0 or 1 and some othre bugs):
documentclass[border=.5cm,tikz]standalone
tikzset
neuron/.style=
append after command=
pgfextra
node[thick,draw=blue!70,fill=blue!20,circle,inner sep=1cm] (a) at (tikzlastnode) ;
draw[thick,red] (a.west) parabola ([xshift=1cm,yshift=.5cm]a.west) to[bend left=50] ([xshift=-1cm,yshift=.5cm]a.east);
draw[thick,red] (a.east) parabola ([xshift=-1cm,yshift=.5cm]a.east);
begindocument
begintikzpicture
scalebox.5[.5]node[neuron] at (0,0) ;
endtikzpicture
enddocument
The output:
answered Aug 21 at 11:54
current_user
2,419428
edited Aug 21 at 12:00
answered Aug 21 at 11:54
current_user
2,419428
answered Aug 21 at 11:54
current_user
2,419428
answered Aug 21 at 11:54
current_user
2,419428
2,419428
1
It seems that this works in isolation, however, it causes an error when integrated into the code snippet I pasted in the original question. Do you know this is?
– Tom Pinder
Aug 21 at 12:54
add a comment |Â
1
It seems that this works in isolation, however, it causes an error when integrated into the code snippet I pasted in the original question. Do you know this is?
– Tom Pinder
Aug 21 at 12:54
1
1
It seems that this works in isolation, however, it causes an error when integrated into the code snippet I pasted in the original question. Do you know this is?
– Tom Pinder
Aug 21 at 12:54
It seems that this works in isolation, however, it causes an error when integrated into the code snippet I pasted in the original question. Do you know this is?
– Tom Pinder
Aug 21 at 12:54
add a comment |Â
Â
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