https://github.com/NikVard/memstim-hh
Tip revision: 3db0e522a6c40a756534723c3f127da7b7d19860 authored by NikVard on 09 June 2022, 17:36:36 UTC
[RESULTS] opt inp EC fin
[RESULTS] opt inp EC fin
Tip revision: 3db0e52
Low_Pass_Filter.ipynb
{
"cells": [
{
"cell_type": "markdown",
"id": "eec57226-70da-4113-ad25-c6837d42824b",
"metadata": {},
"source": [
"# Spikes to firing rate\n",
"\n",
"This simulation will test if we can somehow make a block (NeuronGroup) that gets spikes asn an input and gives a firing rate as an output, acting like a low-pass filter."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "9412e468-8098-4b19-addb-2b969e0061cd",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"INFO Cache size for target \"cython\": 13423 MB.\n",
"You can call \"clear_cache('cython')\" to delete all files from the cache or manually delete files in the \"/home/nikos/.cython/brian_extensions\" directory. [brian2]\n"
]
}
],
"source": [
"from brian2 import *"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "b0f0985b-f201-4981-ad52-081862bef5c3",
"metadata": {},
"outputs": [],
"source": [
"start_scope()\n",
"\n",
"# Parameters\n",
"area = 20000*umetre**2\n",
"Cm = 1*ufarad*cm**-2 * area\n",
"gl = 5e-5*siemens*cm**-2 * area\n",
"El = -65*mV\n",
"EK = -90*mV\n",
"ENa = 50*mV\n",
"g_na = 100*msiemens*cm**-2 * area\n",
"g_kd = 30*msiemens*cm**-2 * area\n",
"VT = -63*mV\n",
"\n",
"N = 10e3\n",
"dt_sim = defaultclock.dt_\n",
"\n",
"filter_params = {\n",
" 'tauFR' : 50*ms\n",
"}\n",
"\n",
"\n",
"# The model\n",
"eqs_HH = '''\n",
"dv/dt = (gl*(El-v) - g_na*(m*m*m)*h*(v-ENa) - g_kd*(n*n*n*n)*(v-EK) + I)/Cm : volt\n",
"dm/dt = 0.32*(mV**-1)*(13.*mV-v+VT)/\n",
" (exp((13.*mV-v+VT)/(4.*mV))-1.)/ms*(1-m)-0.28*(mV**-1)*(v-VT-40.*mV)/\n",
" (exp((v-VT-40.*mV)/(5.*mV))-1.)/ms*m : 1\n",
"dn/dt = 0.032*(mV**-1)*(15.*mV-v+VT)/\n",
" (exp((15.*mV-v+VT)/(5.*mV))-1.)/ms*(1.-n)-.5*exp((10.*mV-v+VT)/(40.*mV))/ms*n : 1\n",
"dh/dt = 0.128*exp((17.*mV-v+VT)/(18.*mV))/ms*(1.-h)-4./(1+exp((40.*mV-v+VT)/(5.*mV)))/ms*h : 1\n",
"I : amp\n",
"'''\n",
"\n",
"eqs_FiringRateFilter = '''\n",
" dY/dt = -Y/tauFR : 1/second\n",
"'''\n",
"\n",
"G = NeuronGroup(N, eqs_HH, threshold='v > -40*mV', refractory='v > -40*mV', method='exponential_euler')\n",
"G.v = 'El+10*randn()*mV'\n",
"G.I = 0.25*nA\n",
"\n",
"\n",
"G_filter = NeuronGroup(1, eqs_FiringRateFilter, namespace=filter_params, method='exponential_euler')\n",
"G_filter.Y = 0\n",
"S_filter = Synapses(G, G_filter, on_pre='Y_post += (1/tauFR)/%d'%N, namespace=filter_params)\n",
"S_filter.connect()\n",
"\n",
"#S = Synapses(G, G_m, on_pre='v_post += 1./%d' %G.N)\n",
"#S.connect(i=[ii for ii in range(1000)],j=1)\n",
"#S.connect(i='i>500',j=1)\n",
"#S.connect()\n",
"\n",
"M = []\n",
"M.append(SpikeMonitor(G))\n",
"M.append(StateMonitor(G, 'v', record=True))\n",
"M.append(PopulationRateMonitor(G))\n",
"#M.append(StateMonitor(G_m, 'v', record=True))\n",
"M.append(StateMonitor(G_filter, 'Y', record=True))\n",
"\n",
"net = Network()\n",
"net.add(G)\n",
"net.add(G_filter)\n",
"net.add(S_filter)\n",
"for ii in range(len(M)):\n",
" net.add(M[ii])\n",
"\n",
"net.run(100*ms)\n",
"\n",
"G.I = 0*nA\n",
"\n",
"net.run(500*ms)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "0c828845-6777-4c5a-bbd2-badcbebdcfac",
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 720x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"def visualise_connectivity(S):\n",
" Ns = len(S.source)\n",
" Nt = len(S.target)\n",
" figure(figsize=(10, 4))\n",
" subplot(121)\n",
" plot(zeros(Ns), arange(Ns), 'ok', ms=10)\n",
" plot(ones(Nt), arange(Nt), 'ok', ms=10)\n",
" for i, j in zip(S.i, S.j):\n",
" plot([0, 1], [i, j], '-k')\n",
" xticks([0, 1], ['Source', 'Target'])\n",
" ylabel('Neuron index')\n",
" xlim(-0.1, 1.1)\n",
" ylim(-1, max(Ns, Nt))\n",
" subplot(122)\n",
" plot(S.i, S.j, 'ok')\n",
" xlim(-1, Ns)\n",
" ylim(-1, Nt)\n",
" xlabel('Source neuron index')\n",
" ylabel('Target neuron index')\n",
"\n",
"#visualise_connectivity(S_filter)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "7a6d5590-2cb8-4497-9ec8-32241fe356b7",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plot(M[0].t/ms, M[0].i, '.g', markersize=5, alpha=0.5, label='Raster',)\n",
"xlabel('Time (ms)')\n",
"ylabel('v')\n",
"legend()\n",
"grid()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "3640a150-d314-4eeb-82b5-49c244b98da9",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"for ii in range(3):\n",
" plot(M[1].t/ms, M[1].v[ii], label='Neuron %d' % ii)\n",
"\n",
"xlabel('Time (ms)')\n",
"ylabel('v')\n",
"legend()\n",
"grid()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "1ecf56b0-7cc0-49ab-aded-bbc274f5b2a7",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plot(M[2].t/ms, M[2].smooth_rate(window='gaussian', width=50*ms)/Hz, label='Rate')\n",
"xlabel('Time (ms)')\n",
"ylabel('v')\n",
"legend()\n",
"grid()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "cbf93963-d9cb-4351-a138-d8c5c02b9b1f",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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RZozPtDl7jDHnZIV/lLZWNZKYIJ4P5exvemFwzp5wLLJjjIk+VvhHaUtVIzOKMklNCv2KWyM1Y3wmLe3dnGhq9zoUY0wEssI/TBsOn+LZjVUABALK1qomyiOkf79X2fjgtw8bz2+MGYz34w+jSFVDGx/58ToAknwJzJwwlpb2buZGWOGfURQc2bPzRDMVMwo8jsYYE2msxT8MP117EABfgvCN3+xkw+EGAMonRcZQzl5jU5OYnJfG9mNNXodijIlAVviHqLM7wPObj3FzeRE//vh8apo7+OHv9pGW7KO0wPsrdgeaNWEsO47bWH5jzHu5udj6JBGpFJGdIrJDRD7vbH9QRI6JyGbndpNbMYTSHw/U09DWxa3zJrKkrIDc9GSOnjrNnOJsT6diPpdZE7I4cqqNptM2dYMx5mxutvi7gS+q6kzgCuAuEZnpPPeQqs51bi+7GEPIbD7aiAhcNiWX5MQE/vmW2aQn+/j7pRd7HdqgZk0InuDdaa1+Y8wAbi62fgI44dxvEZFdwES3jue2rVWNTB2XztjUJABuLi/ihlmFJPkis7ds1oTgeYcdx5tYPC3P42iMMZFEwnGRj4iUAGuA2cAXgE8CzcB6gt8KGgZ5z3JgOUBhYeGCFStWjOjYfr+fjIyMEb23vy+ubqM0J4G/mZM66n2N1HBzubuyjUvyEvhMuXcxn0uofi9ei5U8wHKJVKPJpaKiYoOqLnzPE6rq6g3IADYAtzqPCwEfwW6mbwKPXWgfCxYs0JGqrKwc8Xt7tXV06+R7XtLvrdw76n2NxnBz+dTP39b3f2e1O8GMUih+L5EgVvJQtVwi1WhyAdbrIDXV1X4KEUkCngGeVNVnnQ+aGlXtUdUA8J/AIjdjCIWDJ1sBmJrv3ULqIzFrYhbv1vk53dnjdSjGmAji5qgeAX4G7FLV7/bbXtTvZR8GtrsVQ6gcOOkHYFp+dH11nDVhLAENXshljDG93Lxy9yrgE8A2EdnsbLsf+JiIzAUUOAR8xsUYQuJAXbDFP2VcdLX4e6eK3lrVyILJOd4GY4yJGG6O6nkDGGyAe1QM3+zv4MlWJmaPYUxy5EzENhTjs1IpHJvCFmfqaGOMAbtyd0gOnmylZFya12GMyNxJ2WypsqkbjDFnWOEfgqOn2rgoNzoL/5xJ2Rw82UpjW6fXoRhjIoQV/gto7eimvrWTSVFa+HtnDrVWvzGmlxX+C6hqOA3ApJzoLPyXFmchApuPNHodijEmQljhv4Ajp9oAorbFn5maxMX5GWypavQ6FGNMhLDCfwGH64NDOSdHaeGH4AnezUcbbQ1eYwxghf+CDtW3kjUmiZz0ZK9DGbE5k7I51drZ121ljIlvVvgv4HB9GyV50dvah2CLH2CTjec3xmCF/4IO1bdSEmVX7A5UNj6TlMQEu5DLGANY4T+vzu4AxxpOMzkvugt/ki+BSydmsdkKvzEGK/zndbShjYAS9V09EOzn336sia6egNehGGM8ZoX/PPpG9ER5ix+C/fwd3QH2VLd4HYoxxmNW+M/j0MngGP5YaPH3nuDdeOQ9i50ZY+KMFf7zOFzfSkZKIrlRPJSzV3HOGArHprD+kBV+Y+KdFf7zOOxMzhZcUya6iQgLS3LZcNgKvzHxzgr/eRypb2NyDHTz9Fo4OYdjjac51mgXchkTz6zwn0NPQDna0BYTJ3Z7XVaSC8D6Q6c8jsQY4yUr/OdwvPE0XT0aUy3+GeMzSU/2WT+/MXHOzcXWJ4lIpYjsFJEdIvJ5Z3uuiKwUkX3Oz4hcDLZ3Vs5onpxtoERfAvMuymG99fMbE9fcbPF3A19U1ZnAFcBdIjITuBdYpaqlwCrnccQ5XB8s/BfFUIsfYGFJDrurm2lu7/I6FGOMR1wr/Kp6QlU3OvdbgF3AROAW4AnnZU8AH3IrhtE4fKqVZF8CRVljvA4lpC4ryUUVNlqr35i4JeGYo11ESoA1wGzgiKpmO9sFaOh9POA9y4HlAIWFhQtWrFgxomP7/X4yMjKG/b4fbmrnmD/At66OnBb/SHPpr71b+btVbdw8JYmPTPfu+oRQ5BIJYiUPsFwi1Whyqaio2KCqC9/zhKq6egMygA3Arc7jxgHPN1xoHwsWLNCRqqysHNH7ln1vjX7ysbdGfFw3jDSXgf70h2v1Iz96MyT7GqlQ5eK1WMlD1XKJVKPJBVivg9RUV0f1iEgS8AzwpKo+62yuEZEi5/kioNbNGEZCVTlS3xpTQzn7u2JaHluqGmnr7PY6FGOMB9wc1SPAz4Bdqvrdfk+9ANzh3L8DeN6tGEaqvrWT1s6emBrK2d/iqXl09agN6zQmTrnZ4r8K+ASwVEQ2O7ebgG8B14vIPuD9zuOIcuhkcFbOkhht8V9WkktigrDuQL3XoRhjPJDo1o5V9Q3gXJPcXOfWcUPhgFP4p0T5ylvnkp6SSHlxFuvetcJvTDy6YItfRL4gIhPDEUykOFLfhi9BmJgTW0M5+1s8LY9tx5rwd1g/vzHxZihdPZnAayKyVkQ+KyKFbgfltcOn2piQnUqSL3ZntFg8dRw9AeWdgzZvjzHx5oKVTVW/pqqzgLuAIuD3IvK665F56OBJf8z27/daMDmHJJ/wR+vnNybuDKdJWwtUA/VAgTvheC8QUPbV+JlemOl1KK4ak+xj3qQcO8FrTBwaSh//34nIaoLz6uQBf62q5W4H5pXq5nY6ugMxe2K3vysvDvbzn2rt9DoUY0wYDaXFPwm4W1VnqeqDqrrT7aC81Ds5W6x39QAsKStAFdbuq/M6FGNMGA2lj/8+Vd0chlgiwpFTwaGcsXrxVn/lE7PIS0+mcnfEXTxtjHFR7A5bGaFD9W0kJghFWaleh+K6hATh2un5/H5vHT0B9yfrM8ZEBiv8Axyo8zM5L43EGB7K2d+SGQU0tHWxparR61CMMWESH9VtGN6ta2VafmxM5zoU15SOI0FgtXX3GBM3rPD3090T4HB9K1PjqPBnpyUz/6IcKvfYCV5j4oUV/n6OOQusT82P/RE9/VXMKGDbsSZqW9q9DsUYEwZW+PvpnZxtahyM4e/v2un5AKzZe9LjSIwx4WCFv5/9NX6AuOrqAZg1YSwFmSlU7rF+fmPigRX+fnZXt1CQmUJuundr0XpBRFhSls+avXV09wS8DscY4zIr/EBtczur99TyzMYqFkzO8TocT1SUFdDS3s3GI41eh2KMcZlrC7FEi7qWDq777u9paQ/OS3/r/GKPI/LGVaXjSEwQKvfUsmhKrtfhGGNc5Oaau4+JSK2IbO+37UEROTZgKUZPPfnWYVrau7n7/aV89YMzuX5mzC83MKixqUksLMmx6RuMiQNudvU8DiwbZPtDqjrXub3s4vEvSFX51YYqrpmez93vn85fXTXFy3A8V1FWwO7qFo43nvY6FGOMi1wr/Kq6Bojo5Z0OnGylquE0N8RpK3+g6y4J/jus3FnjcSTGGDeJqnuTc4lICfCSqs52Hj8IfBJoBtYDX1TVhnO8dzmwHKCwsHDBihUrRhSD3+8nI2Pw4Zmrj3bx+I5OvnX1GManR/557vPlEir/9402MpKE+y53d73hcOQSDrGSB1gukWo0uVRUVGxQ1YXveUJVXbsBJcD2fo8LAR/BbxrfBB4byn4WLFigI1VZWXnO577w9Gad9/XXNBAIjHj/4XS+XELlu6/t0ZJ7X9Ka5tOuHiccuYRDrOSharlEqtHkAqzXQWpqWJu5qlqjqj2qGgD+E1gUzuMPtON4E+XFWYiIl2FElJvLi1CFV3dYd48xsSqshV9Eivo9/DCw/VyvdVtXT4B36/yUjY/ttXWHq7Qgg2n56byy7YTXoRhjXOLmcM6ngHVAmYhUicidwL+JyDYR2QpUAP/g1vEv5ODJVrp6lBlW+M8iItx0aRF/PFBPvb/D63CMMS5wc1TPx1S1SFWTVLVYVX+mqp9Q1UtVtVxV/1RVPWtW7q8NzstTWmCFf6A/mV1EwLp7jIlZkT+UxSW9Y9WLc9wdvRKNLinKZMq4dF7cctzrUIwxLojbwl/T3E5KYgJZY5K8DiXiiAi3zJ3AHw/Wc6LJLuYyJtbEbeGvbu5gfFaqjeg5hw/Pm4gq/HqTtfqNiTXxW/ibTlM4NtXrMCLW5Lx05l+UzXObqnqvwTDGxIj4LfzN7Yy3wn9eH55fzN4aPzuON3sdijEmhOKy8KsqNU5Xjzm3D1xaRJJPeG7TMa9DMcaEUFwW/oa2Ljq7A9biv4Cc9GQqygp4fvNxW5nLmBgSl4W/uqkdwFr8Q/CRBcWc9Hewek+d16EYY0IkLgt/TXOw8NvJ3QtbOqOA/MwUnnr7iNehGGNCJC4Lf3WztfiHKsmXwG0LJ1G5p9YWaDEmRsRl4T/R1I4IFGSmeB1KVLjtskko8Mv1R70OxRgTAnFZ+Gua2hmXkUKSLy7TH7ZJuWlcXZrP0+8cpSdgY/qNiXZxWflsDP/w/cWiSZxoamf1HluM3ZhoF5eFv6a53U7sDtN1lxRSkJnCE+sOex2KMWaU4rLwVze3Mz7L+veHI8mXwO2LJ7Nmbx37alq8DscYMwpxV/jbu3pobOuyrp4R+IvLJ5OSmMBjbx7yOhRjzCjEXeG3Mfwjl5uezK3zJ/LsxipOtXZ6HY4xZoTirvCfcK7aLcqyBVhG4q+umkJHd8Au6DImirm55u5jIlIrItv7bcsVkZUiss/5mePW8c+lpu/iLevjH4nphZlcXTqOJ/5wiI7uHq/DMcaMgJst/seBZQO23QusUtVSYJXzOKx65+mxrp6RW37NVGpbOnhmg83aaUw0cnOx9TXAqQGbbwGecO4/AXzIreOfS3VzO+nJPjJTbcnFkXrfxeOYMymbH63eT5fN2mlM1BE3V1cSkRLgJVWd7TxuVNVs574ADb2PB3nvcmA5QGFh4YIVK1aMKAa/309GRkbf44c3t3O0OcC3rkkb0f68NDAXL22q7eb7Gzv460uTuWri8D9EIymX0YiVPMByiVSjyaWiomKDqi58zxOq6toNKAG293vcOOD5hqHsZ8GCBTpSlZWVZz3+6I/f1Nse+cOI9+elgbl4KRAI6LLvrdGKb1dqd09g2O+PpFxGI1byULVcItVocgHW6yA1NdyjempEpAjA+Rn26/9rmjsoyLT+/dESET5bcTEH6lp5edsJr8MxxgxDuAv/C8Adzv07gOfDeXBVpbalncKxNqInFJbNHk9pQQYPvb7XVugyJoq4OZzzKWAdUCYiVSJyJ/At4HoR2Qe833kcNi0d3bR3BazFHyK+BOFLN5ZxoK6VX22o8jocY8wQJbq1Y1X92Dmeus6tY15IrTOGv8Ba/CFzw8xC5l+Uzfde38eH5k0kNcnndUjGmAuIqyt3a5s7AKzFH0Iiwj3LZlDd3M7jfzjkdTjGmCGIr8Lf4hR+a/GH1OVT86goy+dHlftpsDl8jIl4cVX4e6drsCUXQ+/eP7mE1s4evrNyj9ehGGMuIK4Kf21LB2nJPjJSXDu1EbfKxmdy++LJPPnWEbYfa/I6HGPMecRV4a9pbqcgM4XgRcMm1O5+/3Ty0pP56gs7ei/QM8ZEoLgq/LUtdvGWm7LGJHHPshlsONzAsxttAjdjIlVcFf66lg47seuyj8wvZv5F2Xzz5V3U+zu8DscYM4i4KvzBrh5r8bspIUH41kfK8bd389UXdngdjjFmEHFT+P0d3bR19th0DWEwvTCTz113MS9tPcFvt1d7HY4xZoC4Kfx21W54febaacwsGss//Xq7je03JsLETeGvsat2wyrJl8C//1k5Tac7uffZrTbKx5gIEjeFv7ald8lFa/GHy6wJWfzjjWW8uqOGJ9+yxdmNiRRxU/jrnOka8jOsxR9On37fVK6Zns8/v7STPdUtXodjjCGeCr+/g2RfAmPH2FW74ZSQIHznz+aQmZrEZ3+xkdaObq9DMibuxU/hb+kg367a9UR+Zgrfu20u79b5+dL/biEQsP5+Y7wUN4X/pL+TcRnJXocRt95XOo77b7qEV7ZX8x+V+70Ox5i4FjeFv7fFb7xz5/umcOu8iXx35V421liXjzFe8aTwi8ghEdkmIptFZH04jmmF33siwv+79VLmFGfxk60dbDzS4HVIxsQlL1v8Fao6V1UXun2gnoByqrWD/Awr/F5LTfLxs09eRnaK8KnH32F/rY30MSbc4qKr51RrJwGFcdbijwjjMlL40sJUEhMSuP1nb3Oi6bTXIRkTV8SLKypF5CDQACjwiKo+OshrlgPLAQoLCxesWLFiRMfy+/2cCozhK39o5665KVw2PnqHc/r9fjIyMrwOIyT8fj/1gTH8y1vtZKUI9y5KJSc1+tohsfY7sVwiz2hyqaio2DBor4qqhv0GTHR+FgBbgGvO9/oFCxboSFVWVurqPbU6+Z6X9J2D9SPeTySorKz0OoSQ6c1l/aF6nfWV3+o1//Y7PdbQ5m1QIxCLv5NYYLkEAet1kJrqSRNLVY85P2uB54BFbh7vpHPV7jjr4484Cybn8l93LuKUv5PbHl3H0VNtXodkTMwLe+EXkXQRyey9D9wAbHfzmHXOgiA2qicyzb8oh//+9OU0tXVx64//YGv2GuMyL1r8hcAbIrIFeBv4jar+1s0D1jmLrKfbIusRa+6kbJ752ytJ9iXwfx5Zx+o9tV6HZEzMCnvhV9UDqjrHuc1S1W+6fcy6lg7r5okCpYWZPPt3V1KSl86dT6zn8TcP2nTOxrgg+oZRjMBJv128FS0Kx6byy79ZzJLp+Tz44k6+8MstnO7s8TosY2JKXBT+uha7eCuaZKQk8p+3L+SL10/n15uP8eEfvcm7dX6vwzImZsRF4T/p72Bcpk3QFk0SEoS/v66Un3/yMqqb27n5B2v573WHrOvHmBCI+cIfUKXxdBe56dbij0ZLygp49e5rWDQljwee38EdP3+H6qZ2r8MyJqrFfOH3d4Iq5KVbiz9aFY5N5Ym/uox/vmUWbx+s57rvrOanaw/Q3RPwOjRjolLMF/6WrmDXQI4V/qgmInxicQmv3X0tl03J5Ru/2cUHfvgG7xw65XVoxkSd2C/8ncHCby3+2HBRXho//+Rl/OQv59N0uos/+8k6Pv3EevbW2CyfxgxV3BT+XCv8MUNEWDa7iFVfvJYv3TCdtw7Us+x7a/jS/27h0MlWr8MzJuLF/KWsVvhjV1pyIp9dWspfXD6ZH1Xu57/+eJhnN1bxJ7OL+Jtrp3FpcZbXIRoTkeKm8OekWeGPVbnpyfzTB2ay/Nqp/PzNQ/zPusP8ZtsJFk/N4+NXXMQNM8eTnBjzX26NGbKYL/z+LiUzNdH+48eBgsxU7lk2g79bMo1fvHWE/1p3mM/+YhN56cl8dGExty2cxNT82Jij3ZjRiPnC39KpNoY/zmSmJvGZa6fx6aunsnZfHb946wg/XXuQR35/gNkTx/LB8gncXF5EcU6a16Ea44k4KfzWzROPfAnCkrIClpQVUNPczotbjvPiluP8yyu7+ZdXdjN3UjZLZxRQUVbArAljSUgQr0M2JizioPDD9AIr/PGucGwqn756Kp++eiqH61t5aesJXttZw0Ov7+W7K/eSn5nCtdPzuXJaHoum5Nq3ARPTYr7w+7vUTuyas0zOS+euiou5q+JiTvo7WLO3jso9dazcWcOvNlQBMDF7DJeV5HDZlFzKJ2YzfXwGKYk+jyM3JjRiuvCrKs2dSm6GFX4zuHEZKdw6v5hb5xcTCCh7alp4++Ap3j50ijf21/PrzccBSPIJZeMzmT0hi9kTsygbn8nFdqLYRKmYLvz+jm66AzDOTu6aIUhIEC4pGsslRWO548oSVJUjp9rYfqyZbcea2H6siVe2V7PinaN978lMgkt2r2NaQTrT8jO4KDeN4pw0JuaMIWtMkofZGHNuMV346/2dgF28ZUZGRJicl87kvHRuLi8Cgt8iqxpOs7/Wz/5aP2u37qNNlVe2V9PY1nXW+zNTE4MfAtljmJidSsHYVPIzUsjPDN4KMlPITU8m0WdDjU14eVL4RWQZ8H3AB/xUVb/lxnHqW4OLrOdZV48JERFhUm4ak3LTqJhRQGngCEuWXImqcqq1k6qG0xxrPE1VQ1vwfsNpjp5q460D9bR0dA+yv+A8UjlpyWSNSQre0pLO3B+TRLbzOCMlqW/t6LRkn3NLxGejkcwwhb3wi4gPeBi4HqgC3hGRF1R1Z6iPdbwxOG974djUUO/amLOICHkZKeRlpDBnUvagr2nv6qGupYM6f0fwp3Orbemgsa2TptNdVDe3s7u6hebTXYN+UAwmNSmB9ORE0lJ8pCcnMibZR0piAsmJPpJ9CaQkJZDiSyA5MXhLcX4m+3ykJCWQ7Dx3oKqL+g1VJPoEX4KQmCD4EhKcn0KiT0hMSOj3XO+2s1+XIEKCBP9NRDj3Y848Hvg64y4vWvyLgP2qegBARFYAtwAhL/x7qltIEJgyLj3UuzZm2FKTfH3fFoaiuydAc3t334dCa0cPrZ3dnO4M/mw7x+O2zh46ugM0n+6isztAR3cPnT0BOroCdPYEnG0BegKDrGa2fUuIsx6Zvg8EznwwnPlwCG6XAR8SvXcF6OrqImnNa33Py4B9029r/88Zec9rgh9Q537dez+kznpdX0yDx3lm23vj7HXb1B6WDLJ9NLwo/BOBo/0eVwGXD3yRiCwHlgMUFhayevXqYR+ota6LywuUP765dmSRRhi/3z+if4dIFCu5hDuPFOeW3bsh0bld8LMkgYGT8fYElO4AdAWgK6C0+NtITUsjoNCjBH8G9Mz9823T4Gp3PQFQgosfKcHnFEAh0G+7omfuD/FnwNmR9tuXs3cGfoR1dSmJScEj9X9SB/w873P9DLbipw7xeR3kIEM9BoB2dof8byxiT+6q6qPAowALFy7UJUuWDHsfS4DVq1czkvdGIssl8sRKHmC5RCo3cvFiOMExYFK/x8XONmOMMWHgReF/BygVkSkikgz8OfCCB3EYY0xcCntXj6p2i8hngVcJDud8TFV3hDsOY4yJV5708avqy8DLXhzbGGPinV0yaIwxccYKvzHGxBkr/MYYE2es8BtjTJwRPdflYhFEROqAwyN8+zjgZAjD8ZLlEnliJQ+wXCLVaHKZrKr5AzdGReEfDRFZr6oLvY4jFCyXyBMreYDlEqncyMW6eowxJs5Y4TfGmDgTD4X/Ua8DCCHLJfLESh5guUSqkOcS8338xhhjzhYPLX5jjDH9WOE3xpg4E9OFX0SWicgeEdkvIvd6Hc+FiMhjIlIrItv7bcsVkZUiss/5meNsFxH5gZPbVhGZ713kZxORSSJSKSI7RWSHiHze2R6NuaSKyNsissXJ5WvO9iki8pYT89POFOOISIrzeL/zfImnCQwgIj4R2SQiLzmPozWPQyKyTUQ2i8h6Z1vU/X0BiEi2iPxKRHaLyC4RWex2LjFb+Pst6v4nwEzgYyIy09uoLuhxYNmAbfcCq1S1FFjlPIZgXqXObTnw4zDFOBTdwBdVdSZwBXCX828fjbl0AEtVdQ4wF1gmIlcA/wo8pKoXAw3Anc7r7wQanO0POa+LJJ8HdvV7HK15AFSo6tx+Y9yj8e8L4PvAb1V1BjCH4O/H3VxUNSZvwGLg1X6P7wPu8zquIcRdAmzv93gPUOTcLwL2OPcfAT422Osi7QY8D1wf7bkQXNl2I8E1ok8CiQP/1giuM7HYuZ/ovE68jt2Jp9gpIkuBlwiu7R11eTgxHQLGDdgWdX9fQBZwcOC/rdu5xGyLn8EXdZ/oUSyjUaiqJ5z71UChcz8q8nO6COYBbxGluTjdI5uBWmAl8C7QqKrdzkv6x9uXi/N8E5AX1oDP7XvAlwmuVQ7BuKIxDwiuV/6aiGwQkeXOtmj8+5oC1AE/d7rgfioi6bicSywX/pijwY/4qBl/KyIZwDPA3ara3P+5aMpFVXtUdS7BFvMiYIa3EQ2fiHwAqFXVDV7HEiLvU9X5BLs+7hKRa/o/GUV/X4nAfODHqjoPaOVMtw7gTi6xXPhjZVH3GhEpAnB+1jrbIzo/EUkiWPSfVNVnnc1RmUsvVW0EKgl2iWSLSO8Kdv3j7cvFeT4LqA9vpIO6CvhTETkErCDY3fN9oi8PAFT1mPOzFniO4AdyNP59VQFVqvqW8/hXBD8IXM0llgt/rCzq/gJwh3P/DoL95b3bb3fO8l8BNPX7augpERHgZ8AuVf1uv6eiMZd8Ecl27o8heK5iF8EPgI86LxuYS2+OHwV+57TYPKWq96lqsaqWEPy/8DtV/ThRlgeAiKSLSGbvfeAGYDtR+PelqtXAUREpczZdB+zE7Vy8Prnh8omTm4C9BPtk/6/X8Qwh3qeAE0AXwZbAnQT7VVcB+4DXgVzntUJw1NK7wDZgodfx98vjfQS/mm4FNju3m6I0l3Jgk5PLduArzvapwNvAfuB/gRRne6rzeL/z/FSvcxgkpyXAS9GahxPzFue2o/f/djT+fTnxzQXWO39jvwZy3M7Fpmwwxpg4E8tdPcYYYwZhhd8YY+KMFX5jjIkzVviNMSbOWOE3xpg4Y4XfxCwRyXNmb9wsItUicsy57xeRH7l0zLtF5PYQ7GeFiJSGIiZjBrLhnCYuiMiDgF9Vv+3iMRIJTuI2X8/MfzPSfV0L/KWq/nVIgjOmH2vxm7gjIkv6zUf/oIg8ISJrReSwiNwqIv/mzPX+W2fqCURkgYj83pkU7NXey+kHWAps7C36IrJaRB4SkfXOPOuXicizzhzr33Beky4iv5HgfP/bReQ2Z19rgff3m07BmJCxwm8MTCNYtP8U+B+gUlUvBU4DNzvF/4fAR1V1AfAY8M1B9nMVMHAStE4Nzhf/E4KX3d8FzAY+KSJ5BNdfOK6qc1R1NvBbAFUNELxqdk5IMzWG4MxwxsS7V1S1S0S2AT6c4kvwkvgSoIxgsV4ZnIYIH8GpNQYq4uxFTuDM/FDbgB3qzKsiIgcITra1DfiOiPwrwWkU1vZ7by0wgfd+mBgzKlb4jQmusoWqBkSkS8+c+AoQ/D8iBIv24gvs5zTBOW7es29nXx39tgcILoCy11k+7ybgGyKySlW/7rwm1dmnMSFlXT3GXNgeIF9EFkNwymkRmTXI63YBFw9nxyIyAWhT1f8B/p3glLy9phOcGM6YkLIWvzEXoKqdIvJR4AcikkXw/833CM4M2d8rwH8Pc/eXAv8uIgGCs7L+LYCIFAKnNThtrzEhZcM5jQkhEXkO+LKq7hvlfv4BaFbVn4UmMmPOsK4eY0LrXoIneUerEXgiBPsx5j2sxW+MMXHGWvzGGBNnrPAbY0ycscJvjDFxxgq/McbEGSv8xhgTZ/4/1NC0CQPXRMQAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plot(M[3].t/ms, M[3].Y[0], label='Rates')\n",
"xlabel('Time (ms)')\n",
"ylabel('v')\n",
"legend()\n",
"grid()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "b95fc830-b792-4e85-93f6-bf4268b34668",
"metadata": {},
"outputs": [
{
"data": {
"text/latex": [
"$0.0\\,\\mathrm{Hz}$"
],
"text/plain": [
"0. * hertz"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"M[3].Y[0][0]"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
