septum-mec/actions/longitudinal-comparisons-gr.../data/figures/neuron_243_rate_map.svg

731 lines
64 KiB (Stored with Git LFS)
XML

<?xml version="1.0" encoding="utf-8" standalone="no"?>
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
<!-- Created with matplotlib (https://matplotlib.org/) -->
<svg height="568.12pt" version="1.1" viewBox="0 0 566.234375 568.12" width="566.234375pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<defs>
<style type="text/css">
*{stroke-linecap:butt;stroke-linejoin:round;}
</style>
</defs>
<g id="figure_1">
<g id="patch_1">
<path d="M 0 568.12
L 566.234375 568.12
L 566.234375 0
L 0 0
z
" style="fill:#ffffff;"/>
</g>
<g id="axes_1">
<g id="patch_2">
<path d="M 29.174375 202.975
L 148.524375 202.975
L 148.524375 83.625
L 29.174375 83.625
z
" style="fill:#ffffff;"/>
</g>
<g clip-path="url(#p62e3257084)">
<image height="119.52" id="image8cd6708162" transform="scale(1 -1)translate(0 -119.52)" width="119.52" x="29.174375" xlink:href="data:image/png;base64,
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" y="-83.455"/>
</g>
<g id="matplotlib.axis_1">
<g id="xtick_1"/>
<g id="xtick_2"/>
<g id="xtick_3"/>
</g>
<g id="matplotlib.axis_2">
<g id="ytick_1"/>
<g id="ytick_2"/>
<g id="ytick_3"/>
<g id="text_1">
<!-- 1833-120619 -->
<defs>
<path d="M 37.25 0
L 28.46875 0
L 28.46875 56
Q 25.296875 52.984375 20.140625 49.953125
Q 14.984375 46.921875 10.890625 45.40625
L 10.890625 53.90625
Q 18.265625 57.375 23.78125 62.296875
Q 29.296875 67.234375 31.59375 71.875
L 37.25 71.875
z
" id="ArialMT-49"/>
<path d="M 17.671875 38.8125
Q 12.203125 40.828125 9.5625 44.53125
Q 6.9375 48.25 6.9375 53.421875
Q 6.9375 61.234375 12.546875 66.546875
Q 18.171875 71.875 27.484375 71.875
Q 36.859375 71.875 42.578125 66.421875
Q 48.296875 60.984375 48.296875 53.171875
Q 48.296875 48.1875 45.671875 44.5
Q 43.0625 40.828125 37.75 38.8125
Q 44.34375 36.671875 47.78125 31.875
Q 51.21875 27.09375 51.21875 20.453125
Q 51.21875 11.28125 44.71875 5.03125
Q 38.234375 -1.21875 27.640625 -1.21875
Q 17.046875 -1.21875 10.546875 5.046875
Q 4.046875 11.328125 4.046875 20.703125
Q 4.046875 27.6875 7.59375 32.390625
Q 11.140625 37.109375 17.671875 38.8125
z
M 15.921875 53.71875
Q 15.921875 48.640625 19.1875 45.40625
Q 22.46875 42.1875 27.6875 42.1875
Q 32.765625 42.1875 36.015625 45.375
Q 39.265625 48.578125 39.265625 53.21875
Q 39.265625 58.0625 35.90625 61.359375
Q 32.5625 64.65625 27.59375 64.65625
Q 22.5625 64.65625 19.234375 61.421875
Q 15.921875 58.203125 15.921875 53.71875
z
M 13.09375 20.65625
Q 13.09375 16.890625 14.875 13.375
Q 16.65625 9.859375 20.171875 7.921875
Q 23.6875 6 27.734375 6
Q 34.03125 6 38.125 10.046875
Q 42.234375 14.109375 42.234375 20.359375
Q 42.234375 26.703125 38.015625 30.859375
Q 33.796875 35.015625 27.4375 35.015625
Q 21.234375 35.015625 17.15625 30.90625
Q 13.09375 26.8125 13.09375 20.65625
z
" id="ArialMT-56"/>
<path d="M 4.203125 18.890625
L 12.984375 20.0625
Q 14.5 12.59375 18.140625 9.296875
Q 21.78125 6 27 6
Q 33.203125 6 37.46875 10.296875
Q 41.75 14.59375 41.75 20.953125
Q 41.75 27 37.796875 30.921875
Q 33.84375 34.859375 27.734375 34.859375
Q 25.25 34.859375 21.53125 33.890625
L 22.515625 41.609375
Q 23.390625 41.5 23.921875 41.5
Q 29.546875 41.5 34.03125 44.421875
Q 38.53125 47.359375 38.53125 53.46875
Q 38.53125 58.296875 35.25 61.46875
Q 31.984375 64.65625 26.8125 64.65625
Q 21.6875 64.65625 18.265625 61.421875
Q 14.84375 58.203125 13.875 51.765625
L 5.078125 53.328125
Q 6.6875 62.15625 12.390625 67.015625
Q 18.109375 71.875 26.609375 71.875
Q 32.46875 71.875 37.390625 69.359375
Q 42.328125 66.84375 44.9375 62.5
Q 47.5625 58.15625 47.5625 53.265625
Q 47.5625 48.640625 45.0625 44.828125
Q 42.578125 41.015625 37.703125 38.765625
Q 44.046875 37.3125 47.5625 32.6875
Q 51.078125 28.078125 51.078125 21.140625
Q 51.078125 11.765625 44.234375 5.25
Q 37.40625 -1.265625 26.953125 -1.265625
Q 17.53125 -1.265625 11.296875 4.34375
Q 5.078125 9.96875 4.203125 18.890625
z
" id="ArialMT-51"/>
<path d="M 3.171875 21.484375
L 3.171875 30.328125
L 30.171875 30.328125
L 30.171875 21.484375
z
" id="ArialMT-45"/>
<path d="M 50.34375 8.453125
L 50.34375 0
L 3.03125 0
Q 2.9375 3.171875 4.046875 6.109375
Q 5.859375 10.9375 9.828125 15.625
Q 13.8125 20.3125 21.34375 26.46875
Q 33.015625 36.03125 37.109375 41.625
Q 41.21875 47.21875 41.21875 52.203125
Q 41.21875 57.421875 37.46875 61
Q 33.734375 64.59375 27.734375 64.59375
Q 21.390625 64.59375 17.578125 60.78125
Q 13.765625 56.984375 13.71875 50.25
L 4.6875 51.171875
Q 5.609375 61.28125 11.65625 66.578125
Q 17.71875 71.875 27.9375 71.875
Q 38.234375 71.875 44.234375 66.15625
Q 50.25 60.453125 50.25 52
Q 50.25 47.703125 48.484375 43.546875
Q 46.734375 39.40625 42.65625 34.8125
Q 38.578125 30.21875 29.109375 22.21875
Q 21.1875 15.578125 18.9375 13.203125
Q 16.703125 10.84375 15.234375 8.453125
z
" id="ArialMT-50"/>
<path d="M 4.15625 35.296875
Q 4.15625 48 6.765625 55.734375
Q 9.375 63.484375 14.515625 67.671875
Q 19.671875 71.875 27.484375 71.875
Q 33.25 71.875 37.59375 69.546875
Q 41.9375 67.234375 44.765625 62.859375
Q 47.609375 58.5 49.21875 52.21875
Q 50.828125 45.953125 50.828125 35.296875
Q 50.828125 22.703125 48.234375 14.96875
Q 45.65625 7.234375 40.5 3
Q 35.359375 -1.21875 27.484375 -1.21875
Q 17.140625 -1.21875 11.234375 6.203125
Q 4.15625 15.140625 4.15625 35.296875
z
M 13.1875 35.296875
Q 13.1875 17.671875 17.3125 11.828125
Q 21.4375 6 27.484375 6
Q 33.546875 6 37.671875 11.859375
Q 41.796875 17.71875 41.796875 35.296875
Q 41.796875 52.984375 37.671875 58.78125
Q 33.546875 64.59375 27.390625 64.59375
Q 21.34375 64.59375 17.71875 59.46875
Q 13.1875 52.9375 13.1875 35.296875
z
" id="ArialMT-48"/>
<path d="M 49.75 54.046875
L 41.015625 53.375
Q 39.84375 58.546875 37.703125 60.890625
Q 34.125 64.65625 28.90625 64.65625
Q 24.703125 64.65625 21.53125 62.3125
Q 17.390625 59.28125 14.984375 53.46875
Q 12.59375 47.65625 12.5 36.921875
Q 15.671875 41.75 20.265625 44.09375
Q 24.859375 46.4375 29.890625 46.4375
Q 38.671875 46.4375 44.84375 39.96875
Q 51.03125 33.5 51.03125 23.25
Q 51.03125 16.5 48.125 10.71875
Q 45.21875 4.9375 40.140625 1.859375
Q 35.0625 -1.21875 28.609375 -1.21875
Q 17.625 -1.21875 10.6875 6.859375
Q 3.765625 14.9375 3.765625 33.5
Q 3.765625 54.25 11.421875 63.671875
Q 18.109375 71.875 29.4375 71.875
Q 37.890625 71.875 43.28125 67.140625
Q 48.6875 62.40625 49.75 54.046875
z
M 13.875 23.1875
Q 13.875 18.65625 15.796875 14.5
Q 17.71875 10.359375 21.1875 8.171875
Q 24.65625 6 28.46875 6
Q 34.03125 6 38.03125 10.484375
Q 42.046875 14.984375 42.046875 22.703125
Q 42.046875 30.125 38.078125 34.390625
Q 34.125 38.671875 28.125 38.671875
Q 22.171875 38.671875 18.015625 34.390625
Q 13.875 30.125 13.875 23.1875
z
" id="ArialMT-54"/>
<path d="M 5.46875 16.546875
L 13.921875 17.328125
Q 14.984375 11.375 18.015625 8.6875
Q 21.046875 6 25.78125 6
Q 29.828125 6 32.875 7.859375
Q 35.9375 9.71875 37.890625 12.8125
Q 39.84375 15.921875 41.15625 21.1875
Q 42.484375 26.46875 42.484375 31.9375
Q 42.484375 32.515625 42.4375 33.6875
Q 39.796875 29.5 35.234375 26.875
Q 30.671875 24.265625 25.34375 24.265625
Q 16.453125 24.265625 10.296875 30.703125
Q 4.15625 37.15625 4.15625 47.703125
Q 4.15625 58.59375 10.578125 65.234375
Q 17 71.875 26.65625 71.875
Q 33.640625 71.875 39.421875 68.109375
Q 45.21875 64.359375 48.21875 57.390625
Q 51.21875 50.4375 51.21875 37.25
Q 51.21875 23.53125 48.234375 15.40625
Q 45.265625 7.28125 39.375 3.03125
Q 33.5 -1.21875 25.59375 -1.21875
Q 17.1875 -1.21875 11.859375 3.4375
Q 6.546875 8.109375 5.46875 16.546875
z
M 41.453125 48.140625
Q 41.453125 55.71875 37.421875 60.15625
Q 33.40625 64.59375 27.734375 64.59375
Q 21.875 64.59375 17.53125 59.8125
Q 13.1875 55.03125 13.1875 47.40625
Q 13.1875 40.578125 17.3125 36.296875
Q 21.4375 32.03125 27.484375 32.03125
Q 33.59375 32.03125 37.515625 36.296875
Q 41.453125 40.578125 41.453125 48.140625
z
" id="ArialMT-57"/>
</defs>
<g style="fill:#262626;" transform="translate(15.789375 178.663437)rotate(-90)scale(0.12 -0.12)">
<use xlink:href="#ArialMT-49"/>
<use x="55.615234" xlink:href="#ArialMT-56"/>
<use x="111.230469" xlink:href="#ArialMT-51"/>
<use x="166.845703" xlink:href="#ArialMT-51"/>
<use x="222.460938" xlink:href="#ArialMT-45"/>
<use x="255.761719" xlink:href="#ArialMT-49"/>
<use x="311.376953" xlink:href="#ArialMT-50"/>
<use x="366.992188" xlink:href="#ArialMT-48"/>
<use x="422.607422" xlink:href="#ArialMT-54"/>
<use x="478.222656" xlink:href="#ArialMT-49"/>
<use x="533.837891" xlink:href="#ArialMT-57"/>
</g>
</g>
</g>
<g id="text_2">
<!-- 0.25 55.64 16.73 -->
<defs>
<path d="M 9.078125 0
L 9.078125 10.015625
L 19.09375 10.015625
L 19.09375 0
z
" id="ArialMT-46"/>
<path d="M 4.15625 18.75
L 13.375 19.53125
Q 14.40625 12.796875 18.140625 9.390625
Q 21.875 6 27.15625 6
Q 33.5 6 37.890625 10.78125
Q 42.28125 15.578125 42.28125 23.484375
Q 42.28125 31 38.0625 35.34375
Q 33.84375 39.703125 27 39.703125
Q 22.75 39.703125 19.328125 37.765625
Q 15.921875 35.84375 13.96875 32.765625
L 5.71875 33.84375
L 12.640625 70.609375
L 48.25 70.609375
L 48.25 62.203125
L 19.671875 62.203125
L 15.828125 42.96875
Q 22.265625 47.46875 29.34375 47.46875
Q 38.71875 47.46875 45.15625 40.96875
Q 51.609375 34.46875 51.609375 24.265625
Q 51.609375 14.546875 45.953125 7.46875
Q 39.0625 -1.21875 27.15625 -1.21875
Q 17.390625 -1.21875 11.203125 4.25
Q 5.03125 9.71875 4.15625 18.75
z
" id="ArialMT-53"/>
<path id="ArialMT-32"/>
<path d="M 32.328125 0
L 32.328125 17.140625
L 1.265625 17.140625
L 1.265625 25.203125
L 33.9375 71.578125
L 41.109375 71.578125
L 41.109375 25.203125
L 50.78125 25.203125
L 50.78125 17.140625
L 41.109375 17.140625
L 41.109375 0
z
M 32.328125 25.203125
L 32.328125 57.46875
L 9.90625 25.203125
z
" id="ArialMT-52"/>
<path d="M 4.734375 62.203125
L 4.734375 70.65625
L 51.078125 70.65625
L 51.078125 63.8125
Q 44.234375 56.546875 37.515625 44.484375
Q 30.8125 32.421875 27.15625 19.671875
Q 24.515625 10.6875 23.78125 0
L 14.75 0
Q 14.890625 8.453125 18.0625 20.40625
Q 21.234375 32.375 27.171875 43.484375
Q 33.109375 54.59375 39.796875 62.203125
z
" id="ArialMT-55"/>
</defs>
<g style="fill:#262626;" transform="translate(43.812812 77.625)scale(0.12 -0.12)">
<use xlink:href="#ArialMT-48"/>
<use x="55.615234" xlink:href="#ArialMT-46"/>
<use x="83.398438" xlink:href="#ArialMT-50"/>
<use x="139.013672" xlink:href="#ArialMT-53"/>
<use x="194.628906" xlink:href="#ArialMT-32"/>
<use x="222.412109" xlink:href="#ArialMT-53"/>
<use x="278.027344" xlink:href="#ArialMT-53"/>
<use x="333.642578" xlink:href="#ArialMT-46"/>
<use x="361.425781" xlink:href="#ArialMT-54"/>
<use x="417.041016" xlink:href="#ArialMT-52"/>
<use x="472.65625" xlink:href="#ArialMT-32"/>
<use x="500.439453" xlink:href="#ArialMT-49"/>
<use x="556.054688" xlink:href="#ArialMT-54"/>
<use x="611.669922" xlink:href="#ArialMT-46"/>
<use x="639.453125" xlink:href="#ArialMT-55"/>
<use x="695.068359" xlink:href="#ArialMT-51"/>
</g>
</g>
</g>
<g id="axes_2">
<g id="patch_3">
<path d="M 164.844375 275.9
L 284.194375 275.9
L 284.194375 10.7
L 164.844375 10.7
z
" style="fill:#ffffff;"/>
</g>
<g id="matplotlib.axis_3">
<g id="xtick_4"/>
<g id="xtick_5"/>
<g id="xtick_6"/>
</g>
<g id="matplotlib.axis_4">
<g id="ytick_4"/>
<g id="ytick_5"/>
<g id="ytick_6"/>
</g>
</g>
<g id="axes_3">
<g id="patch_4">
<path d="M 300.514375 275.9
L 419.864375 275.9
L 419.864375 10.7
L 300.514375 10.7
z
" style="fill:#ffffff;"/>
</g>
<g id="matplotlib.axis_5">
<g id="xtick_7"/>
<g id="xtick_8"/>
<g id="xtick_9"/>
</g>
<g id="matplotlib.axis_6">
<g id="ytick_7"/>
<g id="ytick_8"/>
<g id="ytick_9"/>
</g>
</g>
<g id="axes_4">
<g id="patch_5">
<path d="M 436.184375 275.9
L 555.534375 275.9
L 555.534375 10.7
L 436.184375 10.7
z
" style="fill:#ffffff;"/>
</g>
<g id="matplotlib.axis_7">
<g id="xtick_10"/>
<g id="xtick_11"/>
<g id="xtick_12"/>
</g>
<g id="matplotlib.axis_8">
<g id="ytick_10"/>
<g id="ytick_11"/>
<g id="ytick_12"/>
</g>
</g>
<g id="axes_5">
<g id="patch_6">
<path d="M 29.174375 484.495
L 148.524375 484.495
L 148.524375 365.145
L 29.174375 365.145
z
" style="fill:#ffffff;"/>
</g>
<g clip-path="url(#p82e2990c1c)">
<image height="119.52" id="imagefd22ff272a" transform="scale(1 -1)translate(0 -119.52)" width="119.52" x="29.174375" xlink:href="data:image/png;base64,
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" y="-364.975"/>
</g>
<g id="matplotlib.axis_9">
<g id="xtick_13"/>
<g id="xtick_14"/>
<g id="xtick_15"/>
</g>
<g id="matplotlib.axis_10">
<g id="ytick_13"/>
<g id="ytick_14"/>
<g id="ytick_15"/>
<g id="text_3">
<!-- 1833-260619 -->
<g style="fill:#262626;" transform="translate(15.789375 460.183437)rotate(-90)scale(0.12 -0.12)">
<use xlink:href="#ArialMT-49"/>
<use x="55.615234" xlink:href="#ArialMT-56"/>
<use x="111.230469" xlink:href="#ArialMT-51"/>
<use x="166.845703" xlink:href="#ArialMT-51"/>
<use x="222.460938" xlink:href="#ArialMT-45"/>
<use x="255.761719" xlink:href="#ArialMT-50"/>
<use x="311.376953" xlink:href="#ArialMT-54"/>
<use x="366.992188" xlink:href="#ArialMT-48"/>
<use x="422.607422" xlink:href="#ArialMT-54"/>
<use x="478.222656" xlink:href="#ArialMT-49"/>
<use x="533.837891" xlink:href="#ArialMT-57"/>
</g>
</g>
</g>
<g id="text_4">
<!-- 0.22 32.14 8.15 -->
<g style="fill:#262626;" transform="translate(47.149375 359.145)scale(0.12 -0.12)">
<use xlink:href="#ArialMT-48"/>
<use x="55.615234" xlink:href="#ArialMT-46"/>
<use x="83.398438" xlink:href="#ArialMT-50"/>
<use x="139.013672" xlink:href="#ArialMT-50"/>
<use x="194.628906" xlink:href="#ArialMT-32"/>
<use x="222.412109" xlink:href="#ArialMT-51"/>
<use x="278.027344" xlink:href="#ArialMT-50"/>
<use x="333.642578" xlink:href="#ArialMT-46"/>
<use x="361.425781" xlink:href="#ArialMT-49"/>
<use x="417.041016" xlink:href="#ArialMT-52"/>
<use x="472.65625" xlink:href="#ArialMT-32"/>
<use x="500.439453" xlink:href="#ArialMT-56"/>
<use x="556.054688" xlink:href="#ArialMT-46"/>
<use x="583.837891" xlink:href="#ArialMT-49"/>
<use x="639.453125" xlink:href="#ArialMT-53"/>
</g>
</g>
</g>
<g id="axes_6">
<g id="patch_7">
<path d="M 164.844375 484.495
L 284.194375 484.495
L 284.194375 365.145
L 164.844375 365.145
z
" style="fill:#ffffff;"/>
</g>
<g clip-path="url(#p8c2bbbba87)">
<image height="119.52" id="image77366d70b5" transform="scale(1 -1)translate(0 -119.52)" width="119.52" x="164.844375" xlink:href="data:image/png;base64,
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" y="-364.975"/>
</g>
<g id="matplotlib.axis_11">
<g id="xtick_16"/>
<g id="xtick_17"/>
<g id="xtick_18"/>
</g>
<g id="matplotlib.axis_12">
<g id="ytick_16"/>
<g id="ytick_17"/>
<g id="ytick_18"/>
</g>
<g id="text_5">
<!-- -0.20 20.40 4.52 -->
<g style="fill:#262626;" transform="translate(180.821562 359.145)scale(0.12 -0.12)">
<use xlink:href="#ArialMT-45"/>
<use x="33.300781" xlink:href="#ArialMT-48"/>
<use x="88.916016" xlink:href="#ArialMT-46"/>
<use x="116.699219" xlink:href="#ArialMT-50"/>
<use x="172.314453" xlink:href="#ArialMT-48"/>
<use x="227.929688" xlink:href="#ArialMT-32"/>
<use x="255.712891" xlink:href="#ArialMT-50"/>
<use x="311.328125" xlink:href="#ArialMT-48"/>
<use x="366.943359" xlink:href="#ArialMT-46"/>
<use x="394.726562" xlink:href="#ArialMT-52"/>
<use x="450.341797" xlink:href="#ArialMT-48"/>
<use x="505.957031" xlink:href="#ArialMT-32"/>
<use x="533.740234" xlink:href="#ArialMT-52"/>
<use x="589.355469" xlink:href="#ArialMT-46"/>
<use x="617.138672" xlink:href="#ArialMT-53"/>
<use x="672.753906" xlink:href="#ArialMT-50"/>
</g>
</g>
</g>
<g id="axes_7">
<g id="patch_8">
<path d="M 300.514375 484.495
L 419.864375 484.495
L 419.864375 365.145
L 300.514375 365.145
z
" style="fill:#ffffff;"/>
</g>
<g clip-path="url(#p502c02d874)">
<image height="119.52" id="image831666dc0d" transform="scale(1 -1)translate(0 -119.52)" width="119.52" x="300.514375" xlink:href="data:image/png;base64,
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" y="-364.975"/>
</g>
<g id="matplotlib.axis_13">
<g id="xtick_19"/>
<g id="xtick_20"/>
<g id="xtick_21"/>
</g>
<g id="matplotlib.axis_14">
<g id="ytick_19"/>
<g id="ytick_20"/>
<g id="ytick_21"/>
</g>
<g id="text_6">
<!-- 0.32 27.31 7.35 -->
<g style="fill:#262626;" transform="translate(318.489375 359.145)scale(0.12 -0.12)">
<use xlink:href="#ArialMT-48"/>
<use x="55.615234" xlink:href="#ArialMT-46"/>
<use x="83.398438" xlink:href="#ArialMT-51"/>
<use x="139.013672" xlink:href="#ArialMT-50"/>
<use x="194.628906" xlink:href="#ArialMT-32"/>
<use x="222.412109" xlink:href="#ArialMT-50"/>
<use x="278.027344" xlink:href="#ArialMT-55"/>
<use x="333.642578" xlink:href="#ArialMT-46"/>
<use x="361.425781" xlink:href="#ArialMT-51"/>
<use x="417.041016" xlink:href="#ArialMT-49"/>
<use x="472.65625" xlink:href="#ArialMT-32"/>
<use x="500.439453" xlink:href="#ArialMT-55"/>
<use x="556.054688" xlink:href="#ArialMT-46"/>
<use x="583.837891" xlink:href="#ArialMT-51"/>
<use x="639.453125" xlink:href="#ArialMT-53"/>
</g>
</g>
</g>
<g id="axes_8">
<g id="patch_9">
<path d="M 436.184375 557.42
L 555.534375 557.42
L 555.534375 292.22
L 436.184375 292.22
z
" style="fill:#ffffff;"/>
</g>
<g id="matplotlib.axis_15">
<g id="xtick_22"/>
<g id="xtick_23"/>
<g id="xtick_24"/>
</g>
<g id="matplotlib.axis_16">
<g id="ytick_22"/>
<g id="ytick_23"/>
<g id="ytick_24"/>
</g>
</g>
<g id="text_7">
<!-- Neuron 243 -->
<defs>
<path d="M 7.625 0
L 7.625 71.578125
L 17.328125 71.578125
L 54.9375 15.375
L 54.9375 71.578125
L 64.015625 71.578125
L 64.015625 0
L 54.296875 0
L 16.703125 56.25
L 16.703125 0
z
" id="ArialMT-78"/>
<path d="M 42.09375 16.703125
L 51.171875 15.578125
Q 49.03125 7.625 43.21875 3.21875
Q 37.40625 -1.171875 28.375 -1.171875
Q 17 -1.171875 10.328125 5.828125
Q 3.65625 12.84375 3.65625 25.484375
Q 3.65625 38.578125 10.390625 45.796875
Q 17.140625 53.03125 27.875 53.03125
Q 38.28125 53.03125 44.875 45.953125
Q 51.46875 38.875 51.46875 26.03125
Q 51.46875 25.25 51.421875 23.6875
L 12.75 23.6875
Q 13.234375 15.140625 17.578125 10.59375
Q 21.921875 6.0625 28.421875 6.0625
Q 33.25 6.0625 36.671875 8.59375
Q 40.09375 11.140625 42.09375 16.703125
z
M 13.234375 30.90625
L 42.1875 30.90625
Q 41.609375 37.453125 38.875 40.71875
Q 34.671875 45.796875 27.984375 45.796875
Q 21.921875 45.796875 17.796875 41.75
Q 13.671875 37.703125 13.234375 30.90625
z
" id="ArialMT-101"/>
<path d="M 40.578125 0
L 40.578125 7.625
Q 34.515625 -1.171875 24.125 -1.171875
Q 19.53125 -1.171875 15.546875 0.578125
Q 11.578125 2.34375 9.640625 5
Q 7.71875 7.671875 6.9375 11.53125
Q 6.390625 14.109375 6.390625 19.734375
L 6.390625 51.859375
L 15.1875 51.859375
L 15.1875 23.09375
Q 15.1875 16.21875 15.71875 13.8125
Q 16.546875 10.359375 19.234375 8.375
Q 21.921875 6.390625 25.875 6.390625
Q 29.828125 6.390625 33.296875 8.421875
Q 36.765625 10.453125 38.203125 13.9375
Q 39.65625 17.4375 39.65625 24.078125
L 39.65625 51.859375
L 48.4375 51.859375
L 48.4375 0
z
" id="ArialMT-117"/>
<path d="M 6.5 0
L 6.5 51.859375
L 14.40625 51.859375
L 14.40625 44
Q 17.4375 49.515625 20 51.265625
Q 22.5625 53.03125 25.640625 53.03125
Q 30.078125 53.03125 34.671875 50.203125
L 31.640625 42.046875
Q 28.421875 43.953125 25.203125 43.953125
Q 22.3125 43.953125 20.015625 42.21875
Q 17.71875 40.484375 16.75 37.40625
Q 15.28125 32.71875 15.28125 27.15625
L 15.28125 0
z
" id="ArialMT-114"/>
<path d="M 3.328125 25.921875
Q 3.328125 40.328125 11.328125 47.265625
Q 18.015625 53.03125 27.640625 53.03125
Q 38.328125 53.03125 45.109375 46.015625
Q 51.90625 39.015625 51.90625 26.65625
Q 51.90625 16.65625 48.90625 10.90625
Q 45.90625 5.171875 40.15625 2
Q 34.421875 -1.171875 27.640625 -1.171875
Q 16.75 -1.171875 10.03125 5.8125
Q 3.328125 12.796875 3.328125 25.921875
z
M 12.359375 25.921875
Q 12.359375 15.96875 16.703125 11.015625
Q 21.046875 6.0625 27.640625 6.0625
Q 34.1875 6.0625 38.53125 11.03125
Q 42.875 16.015625 42.875 26.21875
Q 42.875 35.84375 38.5 40.796875
Q 34.125 45.75 27.640625 45.75
Q 21.046875 45.75 16.703125 40.8125
Q 12.359375 35.890625 12.359375 25.921875
z
" id="ArialMT-111"/>
<path d="M 6.59375 0
L 6.59375 51.859375
L 14.5 51.859375
L 14.5 44.484375
Q 20.21875 53.03125 31 53.03125
Q 35.6875 53.03125 39.625 51.34375
Q 43.5625 49.65625 45.515625 46.921875
Q 47.46875 44.1875 48.25 40.4375
Q 48.734375 37.984375 48.734375 31.890625
L 48.734375 0
L 39.9375 0
L 39.9375 31.546875
Q 39.9375 36.921875 38.90625 39.578125
Q 37.890625 42.234375 35.28125 43.8125
Q 32.671875 45.40625 29.15625 45.40625
Q 23.53125 45.40625 19.453125 41.84375
Q 15.375 38.28125 15.375 28.328125
L 15.375 0
z
" id="ArialMT-110"/>
</defs>
<g style="fill:#262626;" transform="translate(244.549875 17.88725)scale(0.144 -0.144)">
<use xlink:href="#ArialMT-78"/>
<use x="72.216797" xlink:href="#ArialMT-101"/>
<use x="127.832031" xlink:href="#ArialMT-117"/>
<use x="183.447266" xlink:href="#ArialMT-114"/>
<use x="216.748047" xlink:href="#ArialMT-111"/>
<use x="272.363281" xlink:href="#ArialMT-110"/>
<use x="327.978516" xlink:href="#ArialMT-32"/>
<use x="355.761719" xlink:href="#ArialMT-50"/>
<use x="411.376953" xlink:href="#ArialMT-52"/>
<use x="466.992188" xlink:href="#ArialMT-51"/>
</g>
</g>
</g>
<defs>
<clipPath id="p62e3257084">
<rect height="119.35" width="119.35" x="29.174375" y="83.625"/>
</clipPath>
<clipPath id="p82e2990c1c">
<rect height="119.35" width="119.35" x="29.174375" y="365.145"/>
</clipPath>
<clipPath id="p8c2bbbba87">
<rect height="119.35" width="119.35" x="164.844375" y="365.145"/>
</clipPath>
<clipPath id="p502c02d874">
<rect height="119.35" width="119.35" x="300.514375" y="365.145"/>
</clipPath>
</defs>
</svg>