septum-mec/actions/longitudinal-comparisons-gr.../data/figures/neuron_250_rate_map.svg

581 lines
40 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="285.5pt" version="1.1" viewBox="0 0 566.234375 285.5" 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 0 285.5
L 566.234375 285.5
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 205.115
L 148.524375 205.115
L 148.524375 85.765
L 29.174375 85.765
z
" style="fill:#ffffff;"/>
</g>
<g clip-path="url(#p23a4b6f3e5)">
<image height="119.52" id="image7f21d05e82" transform="scale(1 -1)translate(0 -119.52)" width="119.52" x="29.174375" xlink:href="data:image/png;base64,
iVBORw0KGgoAAAANSUhEUgAAAPkAAAD5CAYAAADlT5OQAAAABHNCSVQICAgIfAhkiAAAIABJREFUeJztndluJNl1RWO4mZFzkiySNXRXd0nqbrVkw0+C/Cf+Cv+iAcF+M9CwJEsNDT2qBlaRVSRzHmJIP1fuJTggPxi6vdcbD2K8EScD3NjnnPRfP/6XQ3LEq2ZzHErumq3EqkMtsTRJJZalGith302zl9isXEtsVem11IdGYuNOX2KPi1ON5WOJXWSFxJ41HYn9fKf38cl0JrH+UO9tMetJ7OVqJLEvu3re32T6jL6t9Lz31eq9v7dNKdsQh0Rei6Q5aIzWnRgFvddPiwuJ/WOqz2Jw0Pfneab38XW9kNjt0f0nyV95b+EdpXeZ1mUHa7qEd3Rd7SS2qfS9KOtKYlWj13yA50FkrbYyxvzd4iQ3JnKc5MZEjpPcmMgJ34BYsWhUICDBJqS5xAaZikT9VGOgaSTdNEiMxAUSe0hM6efdVtfSTfW3LocLVDkkSbaw73ar5yh6uneno9c8THW7MQh+vQyuGa7lWFAiEZQENRKdcti3k+k7QO/FWVBB8TRVcXN60Hs41WVKskTXpM70HEVHr2Xe8v0mcZgEsBJiBD2fbqbvfAZrH2Cd6bnR8/WX3JjIcZIbEzlOcmMix0luTOSEN5UKb1twntE/+SRsDUAQ6YOgNoDYONHjdUHEIXfSvgHBKlfHGwmDJHTU4GxapCr4vQBhJ9+rAPTwWu83z/Qcq4NutwORsp3X6W+HBBwS1EhM6mf6HCfgIBzQ8cBAN2o0OGj0+npBzzEGYetVru/AdaLOyrtaYyTG0btH4jCtVRFACIZ3oK3IRgKdv+TGRI6T3JjIcZIbEzlOcmMiJ5DItq3V/UNCApXdkehCjEF4I5dZH4SEXkf33RzAkQe/YRQjkW15UDFlnajocgfOs+tCxZRHzUBiIxCZNmAOfJHreWeJ3i+5/tqUgrYV2ToQo+16IG6S6FTCta3TdpLiY3CtPdrrfVySCNjVZ3HQ20iWcA4S2ajUlJyaJIoVkAdE22dEa+8vuTGR4yQ3JnKc5MZEjpPcmMgJBfyjTu4aEhdIhFjX0McqU+dZA2LXFNSPAbjgyMW0AqFsm6iwswNxagv70nY72I5EuwGUs77LhhI7g/ugctabRMXROQimdH3H4ig9WxLFKJa1KGX9a+cgp9gq1Ri5Cndw3lFH38fpVPvenYOSWaynEpsX2oPuGkS7a3jeVH6KvQ4hRqW6bZ8H5S4J3/6SGxM5TnJjIsdJbkzkOMmNiZxwEbSZ/TJT8WxRqahBfbEoRj21NpkKHQ8SFaJG0Fh/kKhY0QdRYw7Czj252+Ca39XalP++1BgJkuOgQiPoh0kJgiQJNgtw85FYSI43EsGOITcVCm/UmA8gJ+Qerm0N97AEMWkHzi6iGOjxKPYB9OB70sBQC3Cj4YAJKIXFXnotC4TpHaD+hxMopR6lFt6M+cHhJDcmcpzkxkSOk9yYyAkfgBPrHhxbPfjH/75WMY7EHxJiKohRqWkBwhvJMCU1/offMO7nBiWP4Ny736vwRpMqd+DGoib60MoL++FtQKDak7vtbxXZqCQXxK62whsJTOQMJDFuD+WnW/gULfYwOONOxdxOV8+R0WAPWLoayl63NTgNoTS7rWMQ3W25xnrgZDsF8ZoGVvhLbkzkOMmNiRwnuTGR4yQ3JnLCQ7Bi0cTMHggx1J+KRCIS7fogn9EvTgniBw0b2JKwA4IaCUBt+9cRVQ3lkgcVJN+k93reQs87zbX/WNtJpCTskOB3DJUs9mgSLdB2nQi6L5L2NhB8DUJUuaD3Vp/PEhTPRQFOSBBf1yVMRK1UjKN+blSWm0Ou0dAS6t02gmc0QsHUGBM1TnJjIsdJbkzkOMmNiZxw2Wie0+TPEQhlJzAdcgMuJqIHItEOxCRqtr+GPmBr6iEGsQUNkwCxkFxg/aCCCPX3wt534Iy7S5cSo5LUUa7OpoCOKurXF462AWcgiDU0TZZoM7whSdhBR4MuCOr7dhV032UDPc9AZNvAGrzN4Jnt9ZmV8LzJaUjlpyjwwr5cagrCN6wfuUb9JTcmcpzkxkSOk9yYyHGSGxM54UkFpX0gTKzAwbMFMWCVQXkeuszaCWokntHEURquQJNOF+Righ50NAyAnEjdngo7JLwR5Eajck4SAVsLY0fCJTnUSKxpOxyAXFx8D+3KVGkgxgxcaxV8nkhQ60OpMrkoZ/D+0L2R+NqAoEbr13ZoAgmhBU0wpcmzcL/+khsTOU5yYyLHSW5M5DjJjYmc8JAcYOBuWzckvJFAp7E1xJYgflQgupQQo3LWFdzHEgS1BfSl20DfLoKEt0nQ0tC2ZZrkPiNBjUp1ScgqQQDaJ/X/ug151tCdhaWh7QQ1KvGl50jb0TuwhUEcWxCHRwf9jpEsuk5U3CPBc9zVgQZtS4G7uV5zD94pKv0tICcL6olox5sxPzyc5MZEjpPcmMhxkhsTOaGfqwyRgRLTgJOmod8I2LcPbcBO4GJGOZQjQi+vipregyuKmvxTqWDb5vg01WGcaTP7U5hW2m05JZRkLBoSQc61LToG37+3BlyAJHaRCNq2nRuJdhXEaKgFiV3U34yGUIzhXTlJdN8chLI9lIZSeSyJrwSVkBZQmj3I9f0ZQqwD708KOUmior/kxkSOk9yYyHGSGxM5TnJjIifMaxUSMlBYKBZAXOhAbJqo2DPugtOuVDHlaxCxko4KE3tQC8kFR4IalRSSaEfuLhRnKAaqHQlA5GTrtHQxbVDIen/fnByJ4Dyj6bToqIN9d40+byrdJfGQ1ngLz3EDYhxNSc1zPd4Y+r6RMEq9Drcg7rWlS0NG4HgDGpoADj96B0h89ZfcmMhxkhsTOU5yYyLHSW5M5IRvoWfVWa3/vA9AdDlpKaidX64k1j/XffczFafKb/V36HXQYQPXIGoMQdRYgZuIhCJybZFDjWg755PdbRodQLkklRQOaSDEkaC0AAFwkVLPPF2TdUtBjURLWk8SQduuMUHHowEE1BsN9OJkA27GLThECVoDEt5GcI4Hmb7fD8G514W1muF7a4yJGie5MZHjJDcmcpzkxkROeB6ow5fm/qhSgeV8pP3SHnyokzr7H4NbZzLSi3m9ltjJlfZpm9QqTIwC9PcC59A2VwcdubtIjAvQQwxLPuF4YG5L+gdyy+l2JLKNmnb91kZHYtQQxKkhCFH38A6ErN03gUpI2wpq5D4kwWoCk14vwB15AWNiqe/bBu63gZLmOgeXJ6wfPYshvI8XILJ9ctDYx6D37eilgmmv/pIbEzlOcmMix0luTOQ4yY2JnDCH0rQNCCz0azCabCXWewollR9AR7cODAyACauTqZ7j/HossQtoXL9LVXSpYerqIYB4BsIbCSzUk4zcThXEaDuCnXFKDzTU46ubgPA2h+ddgKhDfcaodJWGDcwTfY4kblJvtA4InpNUnWIX8Lwf17rvCaxTCat8Au7IKUyiXaQq+AVYgymUuD6tdU0/KXVdJrk6SV9XKtDNYK38JTcmcpzkxkSOk9yYyHGSGxM5gRxb6tfiyZcZCFZZT8UFtHuB2JN2YaInCG+PrzW2qHS66DZAHzAQGkmM64M7ifqvDaEP2ADKObstSx674Mbqgj5HItsDKBEeHbnv6DnegpgUwEFInwR6tCQnrlIVjqg/HMFlm+DKhLWbwA2fVzBQBM57CqLYYxC2aOoGpEYygAEOl5m6PC8v1TUKFaTJ/K0KjTlci7/kxkSOk9yYyHGSGxM5TnJjIieQmARVjOgIqnb6T36zVLdOOtCS1CRV8ay+1e32Sz1HDb9NOTilWCLR+yABDIccgNhDUzMvITaCCZQ0lRKdhSC6PALx6NlwIbHTy/eFnbrUM1y/VgdhWg0ltunovmsSUEF0ol5wm1rFOCrRhLkCOOm17RCKHTxHGgoyhmt+mug1T0f6Lmcg5qYk8I40X3oX+mzLOQiNt7rvSd1uCIMxJiKc5MZEjpPcmMhxkhsTOaED4g+5okisWC1hIuMbFSa6lQ5XIFZ/0XN8/epMYn+GqabX0HvrPoXG/yAKkYhD5ZIkxhWwLuSUuqzJB9au1HRa6338eDyX2JNfqHAZPrt8P7DRnnm9X99KrPyd3sNdo67CN/CZ2ICTbV3redeVxrrgvqPBDDWsXQmxOZTCluQ+BOHtg1rv49FDXffJT/T5ZCNQC+HlS3sq0qZ9Xedwozn0eKHXkrzRkL/kxkSOk9yYyHGSGxM5TnJjIgcdbyRg3OX6e/B8pU6p/Vcw5OBKxTjixZ0e74tCRbYXmTp9luBOon5hBDmlqK8aHY1EStq3INEFtqNf3ZNU7/fsAxViwudP9Hg//fT9wE7Frn7zB4k9vlFR5/s32suM3GhbEN6on9sehC0S2Ra1CorXuZZodkBk28Bk2wm49M5q3fcp1FwXE73m8IG+t9mjBxJLR+oiTIYQox6L1zcSOxu8kNjo5VvdV89gjIkJJ7kxkeMkNyZynOTGRE6gnme3oAgtwAF2BX3Axs1EYiOtgMRfl1c9Fae+hab8940KeTQ1sw8lpAW521AC03UhQZImmC7AtbUE4TIDYZCuZATlg+UaCmlXUNJ7LLSBkJmd6TPrTe91uzd6vTsQyvY01RXujKbENiS8lXpfr+B4m6Di3n2u7rGLVIcSpLkKdMtSr28312cx2Oh5kxyezyMVRtNnP9NYT4W8w81fdLvTLyWWPX+pMb0SY0xMOMmNiRwnuTGR4yQ3JnLC7UFFgy2ITjsQU4gCxJQeOHjIabeGsQ73jTq0qMxwDBMtSWQbgBhHrrUGRDGaTErXsoYj3pHIBGImHg8GOOR/UUfVp796J7Hp7Nfv/Z1dTvWcr+4k9u7FSGKvgq7nfaLvD/Vz68E9TLsqiu0bdZSRc3FZqSBbwXl34L5rwKU3hudzB+LZ7E5df6MrdQdmT1QszHq6b3YKLsXppcSavopxDTgGMxjg4C+5MZHjJDcmcpzkxkSOk9yYyAkzEt5ArKC+XSR0kLOpR1Mz4feFRCdyT/VTPd4YYucw5GAAky/JybYEUawLghr1h+vROWDiwApia7iW+xxEylSda7PnjyT28ev3J2ROJupkm81UAPvNQYWeP3XUafiuUoGphnUa5Hq9w1ydZzt4H2kIA5WubmsY7JHo9Q2g/HRG65nrOzXf6nYXd/q8C+ill0CvvsNCxdJ6qULo4Z2WlR6efy2x5uWVxPwlNyZynOTGRI6T3JjIcZIbEzmBhC3qZdb21+DQUjwjcYacZzhJNFPx42GiYsqHtTqWJtBrrabBERAr2w3cxKmeW1jAPdzxCgZCEHsoXV2Ba+t1/X4ZaXGvZaVvYTDFN6kKRy9r7au2AaGsA67CIYhdXZg7S+LrMtNrmVVwLVCCTOLwola33G2mbrQbuOabBN69WxAV77QHX/b8O4kdXnwvseaVTkgov9LebavvwIH4Flx1EjHGRIWT3JjIcZIbEzlOcmMiJ5DQ0QXhpNeyRJOa4xN0XmKUqmvtSaJOqY9AZPugVNHlLFVxppNBPzeYTLoHJ9saxKMFCWDgoKtAyKtblrg2NNUTFL/FkUBH27w9gJOtUXFqDSJbDt+JPpSVUilwF8RNeivo3cth3zuYnovTVCH2JltKrAc9DIdQHnv2Tt2Bw9+pk61483uJba7gXXmp4ujL6rHEruH67qG1nL/kxkSOk9yYyHGSGxM5gUwpGfyfSZVfPdguwP+e+P9jy/8zz+F/uWeVnvdZqVVyT3r6P9rZpca6I/3fvdro79/iVrWAm7kOrFvAutD/wjXEqO0UGYyg03dSg/HjuJXXGra5hf+/l2Asoeso4L0Y0LtC/1dDxSJ9dbrwDqQw3LABUw9pRGiQgWq6F3A1HWiB1euqAWX/tbZwSr/W67vKVb+4AofVXdD7WMMgTOqD7y+5MZHjJDcmcpzkxkSOk9yYyAlb6HNNogaZHkhMoSGD/YMeDwfgwQU+rvS8n5YqCn10qr2vz36ilUrF56cSo4F/zS300v7PmcTezFR4uw96b0sYLMnio0JmGLKN0ODG5uiIKzC0kMhGFV1kQCHjC7X2agu9FwUJdGCS2kN14jaHvvDwzmdUdQgC3U2jAt2XMFdg1lOxkJ7tbarXsoBWazvYm4xTbcVMY0xEOMmNiRwnuTGR4yQ3JnICCSzkbDpk7arGOvCP/wj6n59CRddFpef4GFr1PHuifamnP4Oe6D/7SGLp559r7PJDjV1rn+v+y3+T2OpPKhe+zvVa3oLAQu4kagnVtmIvped29PcWxCR6ByjWhf756NCj6rqWDscMvjsk+KXw/nD1pL57GQjL1LIqQIzu4+YAlW7QxosE1BX0j6fhopST1D7rFMRHf8mNiRwnuTGR4yQ3JnKc5MZETqDBcQQ61MDpQ463ErxsHdCSprWKTg+G6jAaPoE2RI/VyZY+gNjJucbOVXhLOupYykb/LrEZtHp6CyWAt9BiiRxLJEaR6ELPg9xOx3vS8SnWto1XBqXFOcQCXBtB90B7th2OSa41fJfhvaWe/+QqpGvZUNkvONnIgbiH7ei8XXj3HkJfeH/JjYkcJ7kxkeMkNyZynOTGRA463shhROIPQSLEDnqZLSF2R32k19pXbfxKXXBJoy64zo320s6vdXBc9mMdOpfk4Ha617VqQBWqQFDbUPlgS2cTCUUkxJBodfws2z5HFNTgm0BlpUMQWsfQ941Ki4kdXPMi0fV8W2v/vnvoxV5QeSy887SeXVgX6mk3BDdaA+67+UH33Sf6XtC1PIYhjf+8dampMT84nOTGRI6T3JjIcZIbEzlhttc+aGkXSvGgzHCQqCuMhLcViE5v4eeloQb8BxXe9q/OJNa7UrGiCyWfJ1/oILqzn76SWOepDrErZ3q8Ebj0+l0QXRoQ48Bt2Fp4AwGIOD4vCa00AJAcbzUMhiR6IGKdH2B4IKiWNITiBvrjkbttCWXJi1IdkzUMKuiSMAjiK9GDb+U5lFdPoTw2A4cangPqd59u9T5++ewKzmGMiRonuTGR4yQ3JnKc5MZETpjt1BFE4g8JPTTRsgDxjPYFHSqB1lvJKAdB5KCCXwdcZl3oGVff6UmG1+D6m6iIA9pjMgXn1eQAfcVgDaikkMo+qf9YDeu3h6EBx2LUqtL7ov0ClDF2IFZBTzoqKz0Bke0cng/58YbkPgw61GLVVSGzbcksQfuWIALS4AM66xjW4FGlW07hvRjDkIiHjxYSm/xCXXD+khsTOU5yYyLHSW5M5DjJjYmcUNZQAlnpP/nbADEQA3aZimJUjhhAiErB1dMHJWbQwCAFkGyGIIqdTtQB1f8QyiofwqTT9a3EikydVx1wAtIQAhLeDrAdDQMgF1wFLrBjNxs5HElg6ge9hzLX49N90YCNByCy/SjVaxkP1H1H/HQxkthp74HEvuipCHpdaQlyDVIZPR9S1Obwft+CSDmFnohn5FyEdz6A2zB0NZYO1SHqL7kxkeMkNyZynOTGRI6T3JjICYOu/qM+6Gj5Wy+nvljgbmvZj6wDvy992O4USjkvMxVnhoW61qanKrJN/wGEon/6kcTSgTqH8pkKRf2OijMFuvlAKGtUyCIBKIMSRXLBEccCHV3HAQRPEvbI8dYD1+MYykovoKz28YdziU0+1fvPz/VZXPz5tcTqXz+W2Kyvzrhtrs/sFnrB7UB4K2FaKT4zWOcuCG+ho3m1q1X03JeQL7e6phN4R/0lNyZynOTGRI6T3JjIcZIbEznhyUD7pQ1zFd5GuQp0fWhS36U+bSBC0K8LOaUKcLcN+yqyPXikwsnocyiX/OXPJZb++DOJHVZaxpd9/1Ji/b6Wbg5XcB8gWqWwLjXcbwOOtAb6qNHxukf1sYOgz5bKWwfwDkzygcQeZPpenNd6HVQqWUxU2Mov1cmWnmgsTFVgGqZ6vOFB74NEX3ILblv24KN9cQopDFwgN+MexMwKRlFMlipIPryC4SESMcZEhZPcmMhxkhsTOU5yYyInfFRoeR6JZ+SwIgGDWv7TREYSJogSxKSyAhELfq6oXDT90Scau/xId776RmMwdZXK/fpayYi978gxuIfyWIJKUolj4S3rqFhD7rZx0O0eBRXAHkNZ7QQa+OUwNKGpoPffUkXVdD+T2FbnYST30FtvD0IZCY1UbrsD4Y1KaylGz3aV6fEWMNV0AHk1AuF2Xun9bq7IhWqMiRonuTGR4yQ3JnKc5MZETjgBx1IHVCwSz0g6IzmoncSWJCXsvQZH0G2p1xxeqnAy+P5OYtnbaz1xV0WmwzvdrrmDcsSNCic7uOES2+0rPXAR0kRZEi5JADoW3gqYtknnnMJ7cZFq7BTKYAsSBamVGTjjmjmIXaWKcbNrdd/dwRCGDZSGtpMs/8pkV4hlUKpLLkUqSSURkN4UuuYd5On81j3ejPnB4SQ3JnKc5MZEjpPcmMgJbUU2dq21g4SEikQ2mBj5JpCwBQ3zS3W3rX6l2322+A+JFZ/9t8QOK+0jt/itCkCvFhcSe93T+1iBewrLEWE4BQljVPKYgwgmx6eebHDOB6mWaJ5AuWMHRCeSiVJwvKUZTDWFca31GmJ1u7eP1un/C3IW0gTYAnsiKpRXi7U+N3/JjYkcJ7kxkeMkNyZynOTGRE7YQX8qEuOalmJcW+jXZQnXQhu+pd5oIOx8dVAn27f/9VRiH32hIlsKUsdNoqLGV4Ve4PNEhzpsDiq8kaBGffNogAG522gNjldqAKLlCcTGcM4CRDaoFsV3haBS02oJTrGNrjGZ6gLESJyiaaXkRqNy3rYuOIoRLHLDdi31w33jUlNjfnA4yY2JHCe5MZHjJDcmcsJdo8MBqMcb9iiD3wgS7bq0Xct9d+BYWiXQK6uBRv0g0L3pqrvrjweNkSAyg7LFm4Ou3y2sKbmdSGTrgwjWazmwgq75eJ17sMb9lr/15EgkiW0L0zt30Jdvu9J7rXaw70a3m4Ozax70ahYgsq0adS7u4f2hMlAChTcS8loeD6cAw64FnDdkUArb6qzGmL9bnOTGRI6T3JjIcZIbEzlhXqs7i5xYNQhCJNAlUI7YJTEOYuNDO7cOObtuDyqmkBi3BfFsBu4uEj+2je67AidbCc69HO6XxEwSKSk2AF8UCXTiUgMBZwuC2hruoaZ+ZPBerOBe1zBEYLVQwbNpdN+bnToXvwt63j8Gfd7vahVBSVDrQ7ktPTNyGtJ2g0yFQXIuti3hbhsjJ6C/5MZEjpPcmMhxkhsTOU5yYyIn4LRSiGXgsCJInEHBBmLUx2oI5Y0liE4kYJATaQtTQ9v2tMNrBtGFXX96zX1Y5z5sF2DtyaXWgx5vx0ejKZ9bWKcFrBMOb4Dr2MIwiC1st9yq2HUP7sPfFromf0hVML4GEZnKSscgip3kKu7lcM0olLV0H5JDdA/OuCXEZjDVtAPDJJYHD1cw5geHk9yYyHGSGxM5TnJjIid8GKatNmw7wZTEqRKEnU2ijqp1S9GJHG9te+hjOWbL8ti290vnoJ5pp+AC66GA2O68nRa91bawHw26IJGN7p9E1Q08nwUIR0mjItt3XV2T36driV3VSz0cXB+5MgfwLEbg3DtL9fpGIG5SOfSbRPsG3jUa24AwWMLQiTIHkRJKeukZ+UtuTOQ4yY2JHCe5MZHjJDcmcsLTTJ0+JKaQOFOBOEOCGu27BZnkXQLlovA7RGWQFRyPnHtU7tcDwa+A85KsRW6nAex7AmW0D2G4QEFrmul2azhvAxcozxK2oV96EiPbsobn/S7o8eYgPH6TqxB1X6tgReWdQ3i25DSkktwpCG/n8MwmsMivoa/aHEqQ39YriZGASoM41pk62eg+KHf9JTcmcpzkxkSOk9yYyHGSGxM5gcoTi5ZTKXHwAQgiM3D1LEBcWECftrZlqtS4nkQX6qtGIhs57QKsC63fFGIXte57WqtgQ13zqLF+B8Q4mAkrol0B90X99ho0FbazFdIQhju4XoKGIZBrrQ+9BEmIwkEFEKN3HoxnyRbcfLNUr3kOYuECSmHJWVjl+iT3LfsGUn9Bf8mNiRwnuTGR4yQ3JnKc5MZETqDG+icNuISg19oWtJQD9fICUYMcanMoxaMeXSS8FdS4HkrxaF+KZTTkAAS1EWx3Cq6oaaP324MS3AaFIqUL9af0i70+em4liDUbkPvIpbiBZ1bS2oH4Q+8AiV0DHNjRbuosTXqtW5bM0r3dwoJSOes9iMj43uK1gPAGQzzmBxXtKlhnms7qL7kxkeMkNyZynOTGRI6T3JjICTsq0YQSwALUivL/MHCB+r7VcC0kYNDQhAM4kQKVmkL54I4GJJALTiIsSI7ALtaDGP/C6nZjuN8BTGdNYd95/b5stwaB8i7QAIt25ZPkxFrAuu+gXxr1vSNwWmtLVya575bwTlHZ9F2rMyTJolGnZtvpp21dhLtG135Z6cTWbaXX4i+5MZHjJDcmcpzkxkSOk9yYyAkkMJGkQU4fEtR2IIBtyZnTVlADAYO228MUzi2IFVQKS9MraV0acIZRGWhoOeihQheY3tuDoE7A8UhFlwOIgNn8/R5+70B4JEicoh5ly1qvg8o772Bq6Emufcv6IMYNYN0z2I5KSLGUE95bEs9IfCTIeUYiclto322t7zKJbKtS3xV/yY2JHCe5MZHjJDcmcpzkxkROmED5JPmQSlDjNhCjwQcsvGmM+lNRGShBAh2JeyuaQAA/dSQ+jmAyZ0nuLuhn1oDgV4ALbgprMJ1qmeH4AoQ36CNXVe+ft79WsYvKRZfgbrstdZLofaliHDHP9R4WQcW4EYhxUxgs0EBsCM+ipQbKIjJNHKV3lMQ9GgBCAh2VG8PxyPFGYhyVqfpLbkzkOMmNiRwnuTGR4yQ3JnLCaQMOMFArdvBzQJNJMQYCBrnRSuhP1VZ4o+3oeFTaR+JHDZMqA4hnA5r+mUNpJLjRTnXPJAcxrj/StSoe6vEOle47nL/viuqsYJ3ApThvVNibl2uN7TSGwlFo97y3sF0VaGJ/jtuJAAAAPUlEQVQtuRQLiVEvOHZ0ktil18e926D3HQnLIIqRoEbi2QbcbbtK960tvBnzw8NJbkzkOMmNiRwnuTGR8z+fEvjDkq9ARAAAAABJRU5ErkJggg==" y="-85.595"/>
</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">
<!-- 1833-200619 -->
<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 180.803438)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-48"/>
<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">
<!-- 0.72 49.28 17.03 -->
<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 4.734375 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"/>
<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"/>
</defs>
<g style="fill:#262626;" transform="translate(43.812812 79.765)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-55"/>
<use x="139.013672" xlink:href="#ArialMT-50"/>
<use x="194.628906" xlink:href="#ArialMT-32"/>
<use x="222.412109" xlink:href="#ArialMT-52"/>
<use x="278.027344" xlink:href="#ArialMT-57"/>
<use x="333.642578" xlink:href="#ArialMT-46"/>
<use x="361.425781" xlink:href="#ArialMT-50"/>
<use x="417.041016" xlink:href="#ArialMT-56"/>
<use x="472.65625" xlink:href="#ArialMT-32"/>
<use x="500.439453" xlink:href="#ArialMT-49"/>
<use x="556.054688" xlink:href="#ArialMT-55"/>
<use x="611.669922" xlink:href="#ArialMT-46"/>
<use x="639.453125" xlink:href="#ArialMT-48"/>
<use x="695.068359" xlink:href="#ArialMT-51"/>
</g>
</g>
</g>
<g id="axes_2">
<g id="patch_3">
<path d="M 164.844375 274.8
L 284.194375 274.8
L 284.194375 16.08
L 164.844375 16.08
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 205.115
L 419.864375 205.115
L 419.864375 85.765
L 300.514375 85.765
z
" style="fill:#ffffff;"/>
</g>
<g clip-path="url(#p5c228fdc4d)">
<image height="119.52" id="imagedba4c1dab1" 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="-85.595"/>
</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 id="text_3">
<!-- 0.32 67.64 23.07 -->
<g style="fill:#262626;" transform="translate(315.152812 79.765)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-54"/>
<use x="278.027344" xlink:href="#ArialMT-55"/>
<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-50"/>
<use x="556.054688" xlink:href="#ArialMT-51"/>
<use x="611.669922" xlink:href="#ArialMT-46"/>
<use x="639.453125" xlink:href="#ArialMT-48"/>
<use x="695.068359" xlink:href="#ArialMT-55"/>
</g>
</g>
</g>
<g id="axes_4">
<g id="patch_5">
<path d="M 436.184375 274.8
L 555.534375 274.8
L 555.534375 16.08
L 436.184375 16.08
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="text_4">
<!-- Neuron 250 -->
<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"/>
<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"/>
</defs>
<g style="fill:#262626;" transform="translate(244.549875 17.50725)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-53"/>
<use x="466.992188" xlink:href="#ArialMT-48"/>
</g>
</g>
</g>
<defs>
<clipPath id="p23a4b6f3e5">
<rect height="119.35" width="119.35" x="29.174375" y="85.765"/>
</clipPath>
<clipPath id="p5c228fdc4d">
<rect height="119.35" width="119.35" x="300.514375" y="85.765"/>
</clipPath>
</defs>
</svg>