{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Optogenetic stimulation\n", "\n", "How to inject an optogenetic intervention (opsin and light source) into a simulation." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "%load_ext autoreload\n", "%autoreload 2\n", "import brian2.only as b2\n", "from brian2 import np, mwatt, mV, mm, mm2, nmeter, cm, ufarad, Mohm, ms, Hz, msiemens\n", "import matplotlib.pyplot as plt\n", "\n", "import cleo\n", "\n", "cleo.utilities.style_plots_for_docs()\n", "\n", "# numpy faster than cython for lightweight example\n", "b2.prefs.codegen.target = \"numpy\"\n", "# long dt for faster sim\n", "b2.defaultclock.dt = 0.5 * ms\n", "# for reproducibility\n", "b2.seed(18300406)\n", "cleo.utilities.set_seed(18360406)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Create a Markov opsin-compatible network\n", "Cleo enables two basic approaches to modeling opsin currents.\n", "One is a fairly accurate Markov state model and the other is a simple proportional current model.\n", "We will look at the Markov model here.\n", "\n", "The established Markov opsin models (as presented in [Evans et al., 2016](https://www.frontiersin.org/articles/10.3389/fninf.2016.00008/full)), are conductance-based and so depend on somewhat realistic membrane voltages.\n", "Hence, we'll use the [exponential integrate-and-fire (EIF) model](https://neuronaldynamics.epfl.ch/online/Ch5.S2.html).\n", "Note that we follow the conventions used in neuron modeling, where current is positive, rather than the conventions in opsin modeling, where the photocurrent is negative.\n", "\n", "We'll use a small neuron group, biased by Poisson input spikes." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/latex": [ "\\begin{align*}\\frac{\\mathrm{d}v}{\\mathrm{d}t} &= \\frac{\\Delta_{T} e^{\\frac{- \\theta + v}{\\Delta_{T}}} + E_{L} + I Rm - v}{\\tau_{m}} && \\text{(unit of $v$: $\\mathrm{V}$)}\\\\\n", "I &&& \\text{(unit: $\\mathrm{A}$)}\\end{align*}" ], "text/plain": [ "dv/dt = (Delta_T*exp((-theta + v)/Delta_T) + E_L + I*Rm - v)/tau_m : volt\n", "I : amp\n" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "n = 10\n", "ng = b2.NeuronGroup(\n", " n,\n", " \"\"\"\n", " dv/dt = (-(v - E_L) + Delta_T*exp((v-theta)/Delta_T) + Rm*I) / tau_m : volt\n", " I : amp\n", " \"\"\",\n", " threshold=\"v>30*mV\",\n", " reset=\"v=-55*mV\",\n", " namespace={\n", " \"tau_m\": 20 * ms,\n", " \"Rm\": 500 * Mohm,\n", " \"theta\": -50 * mV,\n", " \"Delta_T\": 2 * mV,\n", " \"E_L\": -70 * mV,\n", " },\n", ")\n", "ng.v = -70 * mV\n", "\n", "input_group = b2.PoissonInput(ng, \"v\", 1, 100 * Hz, 10 * mV)\n", "\n", "mon = b2.SpikeMonitor(ng)\n", "\n", "net = b2.Network(ng, input_group, mon)\n", "ng.equations" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Assign coordinates and configure optogenetic model\n", "The {class}`~cleo.opto.Opsin` class implements the chosen opsin kinetics model with specified parameters. A standard four-state Markov model as well as channelrhodopsin-2 (ChR2) parameters are included with cleo and are accessible in the {py:mod}`cleo.opto` module. For extending to other models (such as three-state or six-state), see the [source code](https://github.com/kjohnsen/cleo/blob/master/cleo/opto.py)—the state equations, opsin-specific parameters, and light wavelength-specific parameters (if not using 473 nm blue) would be needed.\n", "\n", "For reference, cleo draws heavily on [Foutz et al., 2012](https://journals.physiology.org/doi/full/10.1152/jn.00501.2011) for the light propagation model and on [Evans et al., 2016](https://www.frontiersin.org/articles/10.3389/fninf.2016.00008/full) for the opsin kinetics model." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(
,\n", " )" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from cleo.coords import assign_coords_rand_rect_prism\n", "\n", "assign_coords_rand_rect_prism(ng, xlim=(-0.1, 0.1), ylim=(-0.1, 0.1), zlim=(0.4, 0.6))\n", "\n", "opsin = cleo.opto.chr2_4s()\n", "fiber = cleo.light.Light(\n", " coords=(0, 0, 0.2) * mm,\n", " light_model=cleo.light.fiber473nm(),\n", " name=\"fiber\",\n", " wavelength=473 * nmeter,\n", ")\n", "\n", "cleo.viz.plot(\n", " ng,\n", " colors=[\"xkcd:fuchsia\"],\n", " xlim=(-0.2, 0.2),\n", " ylim=(-0.2, 0.2),\n", " zlim=(0, 0.8),\n", " devices=[fiber],\n", " axis_scale_unit=mm,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Open-loop optogenetic stimulation\n", "We need to inject our optogenetic intervention into the simulator. `cleo` handles all the object creation and equations needed to interact with the existing Brian model without the need to alter it, with the possible exception of adding a variable to represent the opsin current. This needs to be specified upon injection with `Iopto_var_name=...` if not the default `Iopto`. The membrane potential variable name also needs to be specified (with `v_var_name=...`) if not the default `v`." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "CLSimulator(io_processor=None, devices={FourStateOpsin(name='ChR2', save_history=True, on_pre='', spectrum=[(400, 0.34), (422, 0.65), (460, 0.96), (470, 1), (473, 1), (500, 0.57), (520, 0.22), (540, 0.06), (560, 0.01), (800, 1.257478763901864e-06), (844, 2.404003519224151e-06), (920, 3.5505282745464387e-06), (940, 3.6984669526525404e-06), (946, 3.6984669526525404e-06), (1000, 2.1081261630119477e-06), (1040, 8.136627295835588e-07), (1080, 2.2190801715915242e-07), (1120, 3.69846695265254e-08)], extrapolate=False, required_vars=[('Iopto', amp), ('v', volt)], g0=114. * nsiemens, gamma=0.00742, phim=2.33e+23 * (second ** -1) / (meter ** 2), k1=4.15 * khertz, k2=0.868 * khertz, p=0.833, Gf0=37.3 * hertz, kf=58.1 * hertz, Gb0=16.1 * hertz, kb=63. * hertz, q=1.94, Gd1=105. * hertz, Gd2=13.8 * hertz, Gr0=0.33 * hertz, E=0. * volt, v0=43. * mvolt, v1=17.1 * mvolt, model='\\n dC1/dt = Gd1*O1 + Gr0*C2 - Ga1*C1 : 1 (clock-driven)\\n dO1/dt = Ga1*C1 + Gb*O2 - (Gd1+Gf)*O1 : 1 (clock-driven)\\n dO2/dt = Ga2*C2 + Gf*O1 - (Gd2+Gb)*O2 : 1 (clock-driven)\\n C2 = 1 - C1 - O1 - O2 : 1\\n\\n Theta = int(phi_pre > 0*phi_pre) : 1\\n Hp = Theta * phi_pre**p/(phi_pre**p + phim**p) : 1\\n Ga1 = k1*Hp : hertz\\n Ga2 = k2*Hp : hertz\\n Hq = Theta * phi_pre**q/(phi_pre**q + phim**q) : 1\\n Gf = kf*Hq + Gf0 : hertz\\n Gb = kb*Hq + Gb0 : hertz\\n\\n fphi = O1 + gamma*O2 : 1\\n fv_timesVminusE = v1 * (1 - exp(-(V_VAR_NAME_post - E) / v0)) : volt\\n\\n IOPTO_VAR_NAME_post = -g0 * fphi * fv_timesVminusE * rho_rel : ampere (summed)\\n rho_rel : 1'), Light(name='fiber', save_history=True, value=array([0.]), light_model=OpticFiber(R0=100. * umetre, NAfib=0.37, K=125. * metre ** -1, S=7370. * metre ** -1, ntis=1.36), wavelength=0.473 * umetre, direction=array([0., 0., 1.]), max_value=None, max_value_viz=None)})" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sim = cleo.CLSimulator(net)\n", "sim.inject(opsin, ng, Iopto_var_name=\"I\")\n", "sim.inject(fiber, ng)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### IO processor setup\n", "\n", "Here we design an IO processor that ignores measurements and simply sets the light intensity according to the `stimulus(t)` function:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "CLSimulator(io_processor=OpenLoopOpto(sample_period=1. * msecond, sampling='fixed', processing='parallel'), devices={FourStateOpsin(name='ChR2', save_history=True, on_pre='', spectrum=[(400, 0.34), (422, 0.65), (460, 0.96), (470, 1), (473, 1), (500, 0.57), (520, 0.22), (540, 0.06), (560, 0.01), (800, 1.257478763901864e-06), (844, 2.404003519224151e-06), (920, 3.5505282745464387e-06), (940, 3.6984669526525404e-06), (946, 3.6984669526525404e-06), (1000, 2.1081261630119477e-06), (1040, 8.136627295835588e-07), (1080, 2.2190801715915242e-07), (1120, 3.69846695265254e-08)], extrapolate=False, required_vars=[('Iopto', amp), ('v', volt)], g0=114. * nsiemens, gamma=0.00742, phim=2.33e+23 * (second ** -1) / (meter ** 2), k1=4.15 * khertz, k2=0.868 * khertz, p=0.833, Gf0=37.3 * hertz, kf=58.1 * hertz, Gb0=16.1 * hertz, kb=63. * hertz, q=1.94, Gd1=105. * hertz, Gd2=13.8 * hertz, Gr0=0.33 * hertz, E=0. * volt, v0=43. * mvolt, v1=17.1 * mvolt, model='\\n dC1/dt = Gd1*O1 + Gr0*C2 - Ga1*C1 : 1 (clock-driven)\\n dO1/dt = Ga1*C1 + Gb*O2 - (Gd1+Gf)*O1 : 1 (clock-driven)\\n dO2/dt = Ga2*C2 + Gf*O1 - (Gd2+Gb)*O2 : 1 (clock-driven)\\n C2 = 1 - C1 - O1 - O2 : 1\\n\\n Theta = int(phi_pre > 0*phi_pre) : 1\\n Hp = Theta * phi_pre**p/(phi_pre**p + phim**p) : 1\\n Ga1 = k1*Hp : hertz\\n Ga2 = k2*Hp : hertz\\n Hq = Theta * phi_pre**q/(phi_pre**q + phim**q) : 1\\n Gf = kf*Hq + Gf0 : hertz\\n Gb = kb*Hq + Gb0 : hertz\\n\\n fphi = O1 + gamma*O2 : 1\\n fv_timesVminusE = v1 * (1 - exp(-(V_VAR_NAME_post - E) / v0)) : volt\\n\\n IOPTO_VAR_NAME_post = -g0 * fphi * fv_timesVminusE * rho_rel : ampere (summed)\\n rho_rel : 1'), Light(name='fiber', save_history=True, value=array([0.]), light_model=OpticFiber(R0=100. * umetre, NAfib=0.37, K=125. * metre ** -1, S=7370. * metre ** -1, ntis=1.36), wavelength=0.473 * umetre, direction=array([0., 0., 1.]), max_value=None, max_value_viz=None)})" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def stimulus(t):\n", " f = 30 * Hz\n", " unrectified = 2 * np.sin(2 * np.pi * f * t)\n", " rectified = unrectified * (unrectified > 0)\n", " return rectified\n", "\n", "\n", "class OpenLoopOpto(cleo.ioproc.LatencyIOProcessor):\n", " def __init__(self):\n", " super().__init__(sample_period=1 * b2.ms)\n", "\n", " # since this is open-loop, we don't use state_dict\n", " def process(self, state_dict, t):\n", " opto_intensity = stimulus(t)\n", " # return output dict and time\n", " return ({\"fiber\": opto_intensity * mwatt / mm2}, t)\n", "\n", "\n", "sim.set_io_processor(OpenLoopOpto())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Run simulation and plot results" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING 'T' is an internal variable of group 'light_prop_ChR2_neurongroup', but also exists in the run namespace with the value 100. * msecond. The internal variable will be used. [brian2.groups.group.Group.resolve.resolution_conflict]\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO No numerical integration method specified for group 'neurongroup', using method 'euler' (took 0.02s, trying other methods took 0.06s). [brian2.stateupdaters.base.method_choice]\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO No numerical integration method specified for group 'syn_ChR2_neurongroup', using method 'euler' (took 0.09s, trying other methods took 0.15s). [brian2.stateupdaters.base.method_choice]\n" ] }, { "data": { "image/png": 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CdMf8/f2x5v33cfDgoVad87XX38DRo8ewb+8enD71H7RaLebNm2+giOWrJDcfR77djJLcfKM9vyVt6BtPS5iyLXMkxus3VJvmdh6ptm+ujHFdDP1eZYznG6sN3meAwtPLW3vjhxmeu7s7Vr23EhMnToBGo4FWC9jb22H3nj1YtOi5RrU4pqBSqZAQH4eAwCAObxEREcmMaAmPwNnZGR06+AMAkpNTTJ7oCJjwEBERyZeoCw8CdTOpzp+PFDsMIiIikjHREh4vLy8sffUV9O7TG84q5yY/HzBwkAhRERERkRyJlvCsW/sBnJ1V+HD9RyguKRYrDCIiIrIAoiU8Q4YMxuAhw5CTkyNWCERERGQhRJuWXlBQiNraWrGaJyIiIgsiWsLz0ccf46UXlzTawJOIiIjIGERLePr374cHHpiCmOgo/HP4EPb+tafRF0mP0sMdIx+aDqWHu6zakhKxr4u+7Zsi/uu1Yaj2xf49WDIp/g6ler9ILW7RaniOHPkXR478K1bzZAQqT3eMfHgGYo6dRGmecVfzNGVbUiL2ddG3fVPEf702DNW+2L8HSybF36FU7xepxS1awrN1609iNU1EREQWxuQJT5/evREWHo6hQ4dc93HHj58wUUREREQkdyZPeFaufBd33HkXNnzz9TUfo9UC3br3MGFUREREJGcmT3juuPMuAEDXbkxoiIiIyDREm6VFREREZCpMeIiIiEj2mPCQwZTk5uPIt5tRkmv86YmmbEtKxL4u+rZviviv14ah2hf792DJpPg7lOr9IrW4FZ5e3lqxgzAHKpUKCfFxCAgMQklJidjhEBERkQGJtg6PwMXFBc7Ozk2Op6amihANERERyZFoCU///v3x2aefwN/fDwqFotHPtFotfHzbihQZERERyY1oCc/Kd9/Bnj178NHHH6O4mENIREREZDyiJTydOnfG5LvvRVlZmVghEBERkYUQbZZW7KVL8PZWi9U8ERERWRDREp7lK17Dqvfew+DBg+Du7g5HR8dGX0RERESGItq09LOhp9G2bVsoFApotQ0hCN/rU7Q8/5l5eO21FRgxcjQuXrx4U8/htHQiIiL5Eq2HZ9Lke9B/wCD06z8Q/QcM0n0J37fW4MGDMHr0aJSWyr82SOnhjpEPTYfSw10S5zV1e4Y6r6mvh6XQ97oa4/dijjEZ87zGIKVYDcVc7xuptG8qoiU8KSkpjb5SU1Mbfd8aXl5eWL1qFZ57/gVoIf/1FFWe7hj58AyoPA17kxrrvKZuz1DnNfX1sBT6Xldj/F7MMSZjntcYpBSroZjrfSOV9k1F1K0lHpwzB/8eOYz0tBSkp6Xg0MG/cc89d7fqXAqFAp9+8jHefvsdJCcnGzhSIiIikjLRpqU/8cTjmPvEE1i58j2EhYUBCgX69u2Dpa++Ch8fH3z++RctOt+SxS8gMjISe/7666Yeb2dnBzs7O933KpWqRe0RERGRdIiW8Mx94gk88uijOH8+UncsNjYWFy9exHffbmhRwjN69CiMGDEc99x7/00/Z9HCBViyZHGLYiYiIiJpEm1Iy8fHG3Fxl5scj46Ogbe3d4vOtWjhQvTu3Rsx0VGIi41BXGwMVEoldu/6A++tfLfZ56xdtx4BgUG6r5CevVv1OoiIiMj8idbDExV1EePvugu/btvW6PiE8eNveiq54MmnnoK9vUOjY2dDT+ORRx/DuXMRzT5Ho9FAo9G0LGgiIiKSJNESnjfffAsbN36HO+4Yh4iICNTU1KBPnz4YM+YWzHnwoRadKysru9njGRmZyMvL0z9YIiIikjTREp5/jx7F7bffgdmzZ2Ho0KFQKIDzkRcwfMTIayYw1FhJbj6OfLsZJbn5kjivqdsz1HlNfT0shb7X1Ri/F3OMyZjnNQYpxWoo5nrfSKV9UxFtpeUBAwbgzJkzjVZZFhNXWiYiIpIv0YqWt/36M2xsROtgIiIiIgsiWsITFhaGQQMHitU8ERERWRDRulgWPfscPvxwPX7a+hPOhoWhoqKy0c9jYmJEioyIiIjkRrSE5/ixo1AoFBg4YECTn+m7WzoRERHRlURLeJjQEBERkamIunkoERERkSmI1sOzbt3a6/584cJFJomDiIiI5E+0Hp78vLxGXyUlJWjbpg0mThiPsLNnxQqLRKT0cMfIh6ZD6eEudigmI6XXLIVYGaN5M5fX3to4zCX+1pBy7IYiWg/Pa6+/0ezxadOmNlvITPKn8nTHyIdnIObYSZTmyXvFT4GUXrMUYmWM5s1cXntr4zCX+FtDyrEbitnV8OzYsROTJ08SOwwiIiKSEbNLeAIDA2FtbS12GERERCQjog1prVi+rMkxZ2dn3HnnHdi58zcRIiIiIiK5Ei3h8fTybHKssqIS7723Gpt+/FGEiIiIiEiuREt4FixYJFbTREREZGFE3a7cz88PE8aPh5faC2+99TYAwNfXFwqFAunp6WKGRkRERDIiWtHy2LFjcOjgAYwZewv+N/8Z3fGQkB74+KMPxQqLRFSSm48j325GSa7lTJmU0muWQqyM0byZy2tvbRzmEn9rSDl2Q1F4enlrxWj40MG/8dbbb2P//gPIykyHt08bAICrqyvOnD6JTp2DTRqPSqVCQnwcAgKDUFJSYtK2iYiIyLhE6+Hp2DEQ//xzBEDd7uiC2tpa2NjaihUWERERyZBoCU9MTAyGDBnS5Pi0aVMREREhQkREREQkV6IVLS9f8Rq++vJL/Prrr1AoFFi4cAEG9O+PkSNHYMoD08QKi4iIiGRItB6eY8eO4867xqO8ogL79u3H4EGDEBsbizFjb8Xp06fFCouIiIhkSLSiZXPDomUiIiL5En0dnpCQEDg7q5r87KeffhYhIiIiIpIj0RKemTNnYPWq95CUlITi4uJGP9NqW5fwTJo0EU8/9RS69+iOstIy/PLLL3j9jTdRU1NjqLCJiIhIgkSr4Xl20SI89fQ8DBk6HLePu7PR17g77mzx+ZydnfHQgw9i1erVCA7uhnvvux/jxt2O+Vcsakitp/Rwx8iHpkPp4S7pNsyhTVOR8mu7mdjFen1Svq6WqiW/M1P+fnkvmZZoCY9a7YW9e/cZ7HzFxcWY8sBUHDx4CJWVlYiOjsaPm7dg6NCmU9+p5VSe7hj58AyoPI33H9MUbZhDm6Yi5dd2M7GL9fqkfF0tVUt+Z6b8/fJeMi3REp7jx4+jT5/eRm3D08MDmZlZRm2DiIiIzJ9oNTwfffQJ1q9biy1bf0JMTAwqKioa/Xz//gN6nV+tVmPq1KmYNXtOsz+3s7ODnZ2d7nuVqmnhNBEREcmDaAnP+vXrAACzZs5s8jOtVosB+we1+txKpRM2fv8dPvv8c4SGhjb7mEULF2DJksWtboOIiIikQ7SEp/+AgUY5r4ODA77/7jucPnMG69atv+bj1q5bj08+/Uz3vUqlwvmIcKPEREREROISdR0eQ3NwcMDG77/DpdhLWLp02XUfq9FooNFoTBQZERERiUm0omVDE5Kd6JgYvPTSK2KHQ0RERGZENgnP5MmTMGbMLXjqybnIyc5s9OXn5yd2eJJXkpuPI99uRkluvqTbMIc2TUXKr+1mYhfr9Un5ulqqlvzOTPn75b1kWtxLqx730iIiIpIv2fTwEBEREV0LEx4iIiKSPSY8REREJHtMeIiIiEj2mPAQERGR7DHhISIiItljwkNERESyx4SHWkTp4Y6RD02H0sNdlOfrS+rxm1JrXqspro+5tWHKe8LU95+5XWsptWlJ7xU3wxyuBxMeahGVpztGPjwDKs/W3bT6Pl9fUo/flFrzWk1xfcytDVPeE6a+/8ztWkupTUt6r7gZ5nA9mPAQERGR7DHhISIiItljwkNERESyx4SHiIiIZI8JDxEREckeEx4iIiKSPSY81CIlufk48u1mlOTmi/J8fUk9flNqzWs1xfUxtzZMeU+Y+v4zt2stpTYt6b3iZpjD9VB4enlrRWvdjKhUKiTExyEgMAglJSVih0NEREQGxB4eIiIikj0mPERERCR7THiIiIhI9pjwEBERkewx4SEiIiLZY8JDREREsierhMfOzg7vr16F6IsXEBMdhZUr/w82NjZihyUrSg93jHxoOpQe7mZ9TnNoyxRti/l6rkcKr1Xf85nrtdeX1F+XGPeJFO53klnCs2zpq+jSpTNG3zIWI0eNRqegTnjl5ZfEDktWVJ7uGPnwDKg8Dfef0BjnNIe2TNG2mK/neqTwWvU9n7lee31J/XWJcZ9I4X4nGSU8CoUCs2fPwhtvvoWMjAxkZmZh+YoVeOSRh2FlJZuXSURERK0gm0ygY2AgnJycEBYWrjsWGXkBNjY2CA4ObvJ4Ozs7qFSqRl9EREQkT7JJeNw9PFBaWoqqqqpGxwsKCqBWq5s8ftHCBUiIj9N9nY8Ib/IYIiIikgfZJDxabfNbgikUCtRUVzc5vnbdegQEBum+Qnr2NnaIREREJBLZTGHKzc2BUqmEra2trpdHoVDA1dUVWdnZTR6v0Wig0WhMHSYRERGJQDY9PAkJicjPz0fv3g09NSEhPQAASUlJYoVFREREZkA2CQ8AbNjwLVYsXwpfX194e6vx2ooV+PnnX1BZWSl2aLJRkpuPI99uRkluvlmf0xzaMkXbYr6e65HCa9X3fOZ67fUl9dclxn0ihfudAIWnl3fzxS8SZG1tjTfeeB1T7r8PdnZ22LVrN5a8+CJKS8tu+FyVSoWE+DgEBAahpKTEBNESERGRqcgq4dEHEx4iIiL5kk3RsqFwPR4iIiLpuVFnBROeekKiw/V4iIiIpOdGIzQc0rqCr6+vwYezVCoVzkeEI6Rnbw6VGRmvtWnwOpsOr7Xp8FqbhjGvM3t4WiAjI8No5y4pKeF/IhPhtTYNXmfT4bU2HV5r0xDjOstqWjoRERFRc5jwEBERkewx4TEyjUaD995bxW0sTIDX2jR4nU2H19p0eK1NQ8zrzKJlIiIikj328BAREZHsMeEhIiIi2WPCQ0RERLLHhIeIiIhkjwkPERERyR4THiIiIpI9JjxEREQke0x4iEj2AgI64HxEOAYPHmTSdlVKJcLOnsG999xj0naHDxuGnOxMBAYGmLRdInPGhIfIQqnVaoSdPSN2GAY3/5l5ePnllxodKygoREzMJRQWFhmt3cmTJ+HTTz5udKysvBxRFy8iJyfHaO0S0c3hbulEFur222+DlZX8PvOMG3c7jp/4r9GxgoIC3Hf/FKO2e8e4cU2O1dbWYsaMWUZtl4hujvze7YhkbPiwYdixfRviL8ciLjYGP276Ad27d2/0mJ07tuGZeU9jxozpOPrvP0hOSsCJ40cxa9ZM3WPeeutNrHl/Ndq2bYuc7EzkZGfiySfn6n4+YcJ47Nm9C4kJ8Yi+eAFffvE52rdv36idwMAA/LjpB8RfjtWdQ/h67rlndY+bOHEC/j6wD0mJ8Qg9cwoLFy5odJ4li1/Aph82om+fPtj26y9IiI/D+YhwrFu3Fm5ubo0e6+7ujrVrP0DUhUgkxMfh55+2okuXLgAAT09PHP33HwwbNgzPP/esLhYXFxcEBgYgJzsTw4cN053LysoK855+Cv8eOYyU5ERcjIrEV19+cc1rP3ToEOzcsQ1xsTG4HHcJB/bvxYNz5kChUGDvX3swbdpUPPDAFF27ISE9YG1tjZzsTEyfPk13ntAzpzB58iQsfuF5hIeFIikxHr/t3I4uXbqgZ88Q7Ni+DYkJ8Yg4F4Y3Xn8N1tbWja7VufCzTWKbPXsWcrIzrxk7AORkZ2L27KbJ17nws1iy+IUbvk4iqWMPD5FEjBwxAj/9tAVff/0NXn/9DdTW1uKJuY9j164/cNtt4xAbG6t77COPPILo6GgsevY5lJeX475778W6tR+guroaW7f+hPXr1wMA7r3nbtx51wQAQH5+PgBg2rSpWPvBGqxa/T5eWLwYjo6OeO7ZRfhrzy6MGj0Gubm5sLKywtYtm5GXl48Hpk6HRlOJl158ESNGDMfjj8/F2bCw+vPfg08++QjvrVqNPXv+QmBgAD5Y8z7sbG2xavX7unj79++H9evXYdXq1Xjp5VfQvXs3rF71HqytrTB/fl2CZGtri+3bfkVtbQ3mPvkUcnNz8cy8p/Hbzu0YNnwkCgoKMH3GLPz5x2/4c9dufPLJpwCA4uJieHp6NLmea95fjTvvvAPLli3H2bBweHl5Qq1WN3vt3d3dsXXLZnz2+RdY8uLLsLe3Q48ePVBQUAitVovHHn8CX37xOTIzM7F02XIAQEZGxjV/l2++8Tp279mD6TNmwdlZhQ/WvI8fNn4HAFj9/hq8+NLLGDZ0CFaufBcJiYn45psNN75BDOB6r5NI6pjwEEnEq6++gr179+n+oALA/PkLENQxCC8uWYwn5j6pO65UKvHoY4+jsrISAHD+fCSCgoKwcMH/sHXrT8jKykZRYSFqamqQnJyse55CocCypa/i66+/wZo1H+iOP/jQIzj533HMm/c03nzzLYSE9EDHjh0x/38Tcfr0aQDA4iUvIjwsFBWVlcjOzgYALFv2KjZu/AEffLAWABAVFQUfb28sX74M69Z/qNsx2cvLC4899gSOHjsGAIiJiUG3bt0wZ/ZsXQxTptyPTp2CMGjwUKSlpQEAFixchLOhpzFnzmysW7ceycnJqK6uRlFRUaPXdbWgjh0xe/YszJo1B3/t3QsAjRLGqwV06AAnJyd88/U3yMis60k5dy5C9/Pk5GRUVlagrKysUbtX9s5cKTcvDy+99Iru+zVr1uLzzz/FSy+/gp9++hkAEB0djcmTJ2PEiOEmS3hu9DqJpIxDWkQS4ODggH79+mL3nj1Nfrbnr78wYsSIRsdCQ0N1yY5g95496NKlC1RK5TXbCQoKgq+vL3bvbtxOVVUV/v77IEbWt2NtXfdZqbS0VPeYsrIyAIC9vR0AoGPHQPj7++P3P/5sdK5jx0/A2dkZwcFddMc0Go0u2REkJCTA21utqzMaPWoUzoaF6ZIdAKipqcGp06cxoH//a76m5gwfPhwVFRXYf+DATT3+XEQEzpwJxbZtv2D69GlwdHRsUXtX+++/k42+F3qDTp081eh4alrqNXudjMHQr5PInDDhIZIANzc3WFlZ6XpOrpSXmwcPD/dGx0pKSpo8TpgppFKprtmOcJ6sZtrJzcuDh0fd0ND58+eRmpqK5557Fu7u7lAplVi8+AVkZmXhZP0fbU9PTwDAls2bkJKcqPv6+8C++tfUEHNubm6T9rRaLYC6XifhfIMGDmx0rpTkREycMAFu7m7XfE3Nvk5PDxQWFaGmpuamHl9TU4OJkybj008/x9wnHkfEuTC8tmL5da/l9RQVNT9brKi48XGtVqt7/dejwI0fc83nXnF+Q79OInPCIS0iCSisH34SEo4reXp5oqCgoNEx96sSIKBu2AgACgqvXY+Rl5tXd05PD1y6dNXzPT1RUFBX51NVVYXZcx7EH7//jrCzoSgtLUVYWBimTJmKwvrz5+fXxfTU0/MQFXWxSVupqam6fwvJzfUUFBTgxIkTeP6FJU1+Vl5efsPnX6mwoACuLi6wtra+6aSnqqoKG3/4ARt/+AEDBw7AqvfeQ/ce3TF16vQWta2PayVAbm6uN/X85hIjF5fGzzWH10lkDOzhIZKA8vJyHD9+AuPH39XkZ3fecUeT4aB+ffvCycmp0bG77rwT5yIiUFFRAQDQVFXBwcGh0WNi4+IQH5+A8Xc1bsfW1hZjx47B0aMN7Tz80EPYvXs3OgQEonuPEMycNRtRUVG6n8fFxSEjIwMBAQGIjY1t8tXSJOXYsWPo3LkLMtLTm5zryuSpqqoKjle9rqud+O8kHBwcMGbMLS2KQXDq1GmsWr0aQ4cM0R3TaKrg4Hj9dvVVWFQELy+vJkNNI0eNvOFzCwoK4Ofv1+jYgAEDoFQ6XeMZzb9OIqliDw+RRKxY8Rr27NmFN994HZu3bIWtjQ2emPs4evTojueef6HRYysrK7Fhw9d4//01KCwswtSpD2DChPF47PEndI+JvhgNDw8PPPbYozh08BA0VVVITk7G8uUrsGHD18jNy8OePX/BxcUZzz33LBwcHPDpp5/pnt+3X19cuHABnYKCUKnRQKOpRFZWtq63RqvV4vU33sT7q1fB2toaB/8+iLLycrRp0wY9unfDp5993qLXv3nLVjzyyCPYsnUz1q5dh4T4BKhUKnTv0R3R0TE4c6ZuEcWLF6MxceIE/Pb7HygvL0Nc3OUm54qKisL27Tuwbt1avPrqUpyPOA8PTw/06NEDGzZ82+TxISE9cPfdd+PIkX+RlpoKTy9PzH3icYSGhjZcz+hozJw5A6NGjUJGRgaysrJQXFzcotd4I4cOHYZCocDaD9bgw48+AgA8MGUKOnfqdMPn/v33QTzy8EM4f/48LkReQFBQEF58aQny8vJa9DqJpIo9PEQSEX7uHO6f8gB69+6FPbv/xM6d26FWqzFp0t24cOFCo8fu3bsPe/b8hY8++hD79/2FcbffjqeemoedO3/TPWb3nj344suv8Nyzi3Dw4AHcdutY3fHHHn8CkyZOwIH9e7H5x00oLy/H+AkTdTN3AGDbr9swfdo0nDhxDGdDTyPyfAQS4i83WuX4559/wdy5T+G2227Fzp3bcfjQ31i9+j24ut7cEMyVKioqMGny3Th//jzeX70K//77D7Zt+wX33HM3KisrdI9b8dprSElJwa+//IyfftoKFxfnZs8375n5+O7b7/DKKy/j8OGD+P67b9G7V69mH5ufX4Du3brhm6+/xL///oMN33yD1NS0RjPj1nywFv/99x++3fA1/vh9J/yv6k0xhJiYGMybNx8hIT3w157d+HHTD9BqtXjq6Xk3fO5LL7+CgwcPYc37q3HgwH7M/98zePnlV3DmimTmZl4nkVQpPL28bzx4TkSSsXPHNqSmpmHeM/ON1sa7776DwYMH46mn5iEmJgZarRYqpRJ3jb8Ln37yMSZMnNRkJhIRkZjYw0MkQzczs0cf06ZOxa+//Iro6GjdEFZJaSmOHPkXQEOBNBGRuWANDxG12Llz5zBnzmxculRXNGxja4vu3brhfwvmIykpCYcPHRY7RCKiRpjwEFGLPf7Ek3jl5ZewcuX/wdvbG9XV1UhOTsbBg4ewbv2HKLliQUIiInPAGh4iIiKSPdbwEBERkewx4SEiIiLZY8JzBe4XQ0REJE9MeOqpVCokxMcx6SEiIpIhJjxEREQke0x4iIiISPbMOuGZNGkidv35BxISLuNC5Hm88fprsLa2bvaxI0eMwMGDB5CUGI+//96PIUMGmzhaIiIiMldmm/A4OzvjoQcfxKrVqxEc3A333nc/xo27HfPnP9Pksb4+Pvj++2/x0YcfI7hrd3zwwVps/P47qNVqESInIiIic2O2CU9xcTGmPDAVBw8eQmVlJaKjo/Hj5i0YOnRIk8dOmXI/Tp8+g1+3bUN5eTl+//0PHDt2HNOnTRUhciIiIjI3ktpawtPDA5mZWU2O9+zZE6FnzzY6diY0FP3697vmuezs7GBnZ6f73lJmZynd3eDfuweyE5KQm5QKbW2t2CGRzNg62MOnUyCc3NwQe/wUamtqxA6JZMDRxRlDZtwHTWkZTv7yG6oqKsUOiSRGMgmPWq3G1KlTMWv2nCY/c/dwx9mzYY2O5eflX3dIa9HCBViyZLGhwzRrbm19MWvNW3D1qbsumvIKZMbFIyM6FuG79yMrLkHcAEmyuo0ZgU5DBsC3SxA8/drBqr7WLvqf49j+5mrUVleLHCFJlcLKCn0njsPox2bD0cUZANBnwjjs//QbRP9zXOToSEokkfAolU7Y+P13+OzzzxEaGtrk51pt0+3AFAoFaq7zJrt23Xp88ulnuu9VKhXOR4QbJmAz5N7WF7M+eBsu3l4oKyiEjb0d7Bwd4RfSDX4h3dDrzlvx9ROLUJCeKXaoJDF9JtyO8S/Mb3SsOCcPji7OCB41FPeuWIztr69i0kMt1q57MMYtnIs2XToBADLj4mGvdIKbrw/uf/0lXD51Fns//BJ5yakiR0pSYPYJj4ODA77/7jucPnMG69atb/YxuTm5cPdwb3TMw9MD2dk51zyvRqOBRqMxaKzmyr1dG8z64C24qL2QnZCEH59birLCYni0bwvfLkEYeP8ktO3aGXcvfR4bF7zMIQi6aZ7+7XH7/CcAAGG79iHmyAmkx8ShNC8fgQP74oG3XkHwiCG477UXsf31laipYtJDN6f/PeNxx8InAQAVJSU4/PUmhP62B9a2Nhg2cwqGTL8XHQf2xRNfr8Mvy/8PcSfOiBwxmTuzLVoG6pKdjd9/h0uxl7B06bJrPi707Fn07dun0bH+/fohJibGyBGaPw+/dpj9wduNkp3S/EJoa2uRm5SCyP2Hse21lagoKUG77sEY+fAMsUMmibC2tcU9y56HrYM9Lp86i12rP0bsidMozcsHAMSfOoufX30bVZWV6DJ8EO577UVY25r9ZywyA0oPd4yZ+yAAIGLvQXw2Zx7O7NgFbW0tqis1+GfDj/jykf/h8qmzsLa1xR0LnoS1ra3IUZO5M9uER0h2omNi8NJLrzT52e+/7cDYsWMAAL/88iv69O6N+++7D46Ojpg0aSJGjhqJrT/9LEboZkPp7oZZa96Cs9oT2fGJ2PRsXbJztaLMbOxa/TEAYNjM+9GhT09Th0oSNGbug/Dp1BFlBYX4/d11QDNDy/Gnw3RJT+dhg3D3q8+LEClJzejHZsHO0REpkRfx+/+tRVlB0/et/LQM/LLsHRRl5cCtjQ8GTZksQqQkJWab8EyePAljxtyCp56ci5zszEZfgYGB8PPzg4uLCwCgoKAAM2fNwbx5T+FSzEW8/NKLmPvEk0hMTBT1NYht8NR74OzlgZzEZGx6dmmzbxqCi4ePIezPfVBYWWHSK4t0xYFEzQka3F/3B+b3let0vTrNSTgTjp9feQs1VVXoOnoY2nUPNlWYJEHeQYHofeetAID9H3993cdWV2pw8MvvAQDDZk2B0t3V6PGRdJltwvPTTz/DS+3T7FdUVBT69O2PHTt26h5/+vRp3HrbOLT364Bhw0di7759IkYvPnulEn0n3QEAOPDZBpQVFt3wOfs++hK5SSlwUXth/OL5N3w8WSalhzsmvrgAAHDq199vqnYiIfQcIvYdAgAMmXGfMcMjibtt3qNQWFkh8sA/SIu6cVlC5IF/kHbxEuyVThj1yEwTREhSZbYJD+mn3913wl7phKzLCTddzFdVUYkdb65GtaYKwSOGoNstw40cJUnRbfMehdLdDZmxl/H359/d9PP+27Id2tpaBI8YAk//9kaMkKSq8/BBCOjXC9Wahp6bG9JqdT1BvcffDnVgByNGSFLGhEeGbOzsMOj+uuGGE1u2t+i5mbHxOLFlGwCg3913GTw2kjaluyu6jh4GAPjjvQ9RU1V108/NTU5FzNGTAIAh09nLQ41Z2dhg7JMPAwD++3knijKzb/q5KeejEHXoKKysrXHbvEeNFCFJHRMeGep5x1goPdxQmJGFC38fafHzz/7+F2pratChT094tG9rhAhJqnrecSusbWyQEnkRmZcut/j5xzf/CgAIuW0UnL08DR0eSVj/u++Cp187lOYV4PimX1v8/INffIdqTRUCB/RB0JD+RoiQpI4Jj8worKwweNo9AICTv+xs1Zo6xTm5iPuvbhisz4RxhgyPpEyhQJ+JdfdD2B97W3WKtKgYJIZFwNrWFoMe4KwaqmOvdMKIB6cBAA5/8wM05eUtPkdBeiZObfsdAHDrU48ACoVBYyTpY8IjM11HDYVHuzYoKyxC2J+tL9w+W/8HrdedY7l2CgEAAvr2hEe7NqgoKUXUoX9bfZ7jm+uGTPtMvAMOKqWhwiMJCx41FI4uzshNSkH47gOtPs+xH35GRUkpvDr4wS+kmwEjJDlgwiMzwgyYMzt26bW5Xtx/Z1CcnQsnN1d0GT7YUOGRhAm9fZEHDut1b10+GVq3RYCTI/rdPd5Q4ZGE9Rg7CkDdIoP6bGhcWVqG6CMnAADdbx1pkNhIPpjwyEhAv95o06UTqioqcXrbH3qdS1tbi/Dd+wHUfRIny+bk6oLgkUMAAGd/b91w1pWEYvqB90+EjZ2d3ucj6VK6u6FD37rFTltTc3i1C3//AwDoNnq4bhNbIoAJj6wMnno3ACB81z6UFxXrfb6wXfugra1FYP/ecGvrq/f5SLp63jEW1ra2SIuKQVZcvN7nu/D3ERRkZELp7oaQ20cbIEKSqm631CUmqVExBtm8OCH0HErzC+Dk5oqAfr0MECHJBRMemXBQKRHQvzcA4PSOXQY5Z1FmNi6fOgsA6DP+doOck6RJGM4K+1P/3h2grgcxdOceAEDX0VzvyZJ1rx/OunDgH4OcT1tbi4uHj9Wd+9ZRBjknyQMTHpkIGjIA1jY2yE5IQl5yqsHOKxQv977rNljZsHjZEvn37gFP/3aoLCvHhb9bX6x8tZh/62otOvQJgb3SyWDnJelw9fFG+5Cu0NbWIurQUYOdN7I+eQoeMYRDpqTDhEcmugwfBACIOfqfQc8be/wUSnLzoPRwQ+dhAw16bpIGoYbrwoHDrZoufC15KWnISUyGta0tggZx3RRL1H1sXWFxYth5lOTmGey8KZEXUZiZDXulE9fkIR0mPDJgbWuDjvV/MC7Vr2RrKLU1NQjfUzdNtC+Lly2Og7MKXUcNBQCc/cPw+9MJKy93rk/YybIIM6mEQmOD0Wpx4WBdAbQwA4yICY8MdOjTE/ZOjijOyUPaxUsGP3/4rrrZWgH9enHdFAvTaehA2NjZITMuHhkxsQY/vzCsFTS4P4dMLYxXBz/4BAWipqoKF/85bvDzCzVBnYYOgJ2To8HPT9LDhEcGuoyomy586dhJQKs1+PkL0jKQk5AMK2trXWE0WYagQX0BALHHThnl/GkXL6EkNw8OKiU69AkxShtknoThrMunzqKiuMTg58+MjUduUgps7Ox075Fk2ZjwSJ1Cgc7D6ut36j8tG0PcqVAAQMeB/YzWBpkXhZUVAgfUJTxxJ0ON04hWi0vH65IpLnBpWYQZVJEGWHvnWoTi5R5juQghMeGRvDbBneDs5YHK0jIkhkUYrZ3L9X/wOtZ/4if58+3cEU6uLqgoKUHqhWijtSMU2guJO8lfm+BO8GjXBlUVlQavO7ySsJBh4IA+cHJ1MVo7JA1MeCRO+FR8+VQoaqqqjdZOUngkqioq4aL2gjrA32jtkPnoOKiuNy/hzDm9lvu/kYQz56ApL4eLtxd8uwQZrR0yH8Jw1qVjJ1FVUWG0dvJS0pAeEwsra2t0HT3MaO2QNDDhkThhOnr0v4adjn61mqoqJIWfB9Dwh5DkTfg9Xz5lpOGsejVVVbh8sm6BSw5rWYagwXWzSqMOG27tnWuJOljXRkcufWDxmPBImHtbX6gDO6CmuhpxJ84YvT3hDx8THvlzUCnRrlsXANCttm1MwrAWEx75U3q4w6uDH7S1tUgMPWf09hJCwwHULaCpsOKfPEvG376Eda7/45AUHonK0lKjtxdX/yncr2d32DrYG709Ek9Av96wsrZGdkISirJyjN5e7InTqK2pgXdQAFx9vY3eHolH2Cg049JlVJQY/30rMzYe5cUlcFAp4du5o9HbI/PFhEfChE/DxpyddaW85FQUpGfCxs4W/pxCLGu64Sxjzc66SkVxCZLCIwGwl0fuAvrWbeiZeNZ4kyyupK2t1Q3Hd+jLzUQtGRMeiXJydUH7kK4A6tffMRFheCOI09NlTZiNZ4rhLMGlYxzWsgRCD0/CWeMPZwmE5Iq7p1s2JjwSFTiwL6ysrZERE2eSIQdBw/R0JjxypQ7wh4vaC1UVlbpeF1OI+bcucffr1Z0r48qUq4833Nv6oqa6GikRUSZrV6gVah/SjSt6WzCD/OZ9fXwwaPAg+Pr6wsPDAwX5BcjMzMSp06eRkpJiiCboKv69ugMAEkxQ9HelhLPnUFNdDY/2beHW1hcFaRkmbZ+MT0hmE8MiUFNVZbJ2CzOzkJ+aDvd2bdCuR1fEm7B3iUxD6N1Ju3jJoBvR3kh2QhJK8wugdHdD266dkXLedMkWmY9W9/AoFAo8OGcODuzfi9DQ01j8wgu4/bbbENChA24ZMxr/WzAfJ/87joMHD+CRRx6GFavjDcqvZw8AQHLEBZO2qykr171ZdBzIRQjlSPi9mnI4SyDcz/49u5u8bTI+IeExxeysq3FYi1rdw7P3r90oKirGZ599jv0H/kZ+fn6Txzg7O+O2W2/Fo48+jJkzpuP2cXfqFSzVcXRxhleAHwCI8knl8smz6NCnJzoO7IfQnbtN3j4Zj62DPfx61SXTpipYvlJyxAX0uvNW+PViwiNHpi5YvlLC2XPoPnYkOvTtiX+/32ry9kl8rU543l35Hg4c+Pu6jykuLsb2HTuwfccO3HXXXa1tiq7iV//pNzs+EeVFxSZv//KpUIyZ+yAC+vWEta2NUVd4JtPy7xMCGztbFKRnIi8lzeTtJ5+r6+Fp260L7y2Z8fBrB2e1J6o1GqREXjR5+0KS1a57V9jY26G6UmPyGEhcLR5ncnBwgK+vb5NkJzg4+LrP27275T0BKpUKGzZ8jdAz19+p+eTJE8jJzmz05e2tbnF7UuHXu34465xph7MEmXEJKMnLh52jI9qHdBMlBjIOYfadGL07QN1WAKV5BbCxs0Ob4M6ixEDGEVA/nJVy/qJJa8ME+anpKMrKgY2dLdr34PuWJWpRwjNp0kSc/O84Nm/ehMOHDqJfv4aZOp9+8pFBAwsODsbev3aj+iY+4fl4+yC4a3d4qX10X1lZ2QaNx5wIPTxJJq7f0dFqEX86DEDdAnUkH8Lv83L971cMQh0Ph7XkpYNuOMv09TsCYSp8h349RYuBxNOihOe5557FrbeNw5gxt2LBgoVYt/YD3H/ffXU/VCgMGtiIEcPx+utv4ttvv7vu41QqFRQKIDc316DtmytbBwfdaqFi9fAADX+U2nW/fs8eSYeDStlQGyZWMg0gOaJuKrwfC5flQ6FAh/rFShNEqN8RCMlWhz5MeCxRi2p4bG1skJ1d13MSfu4cJk2+G99/twGBgQGAVmvQwL7++hsAwPBh19/h1tPTE7a2toi6EAlXVxckJSXhk08+w/cbNxo0HnPRrkcwrKytUZCRieJs062/c7XUyGgAQNtunaGwsjLqbtpkGm3r987KS0lDWWGRaHEk1Sfy7UO68d6SCXWgP5zcXKEpL0f6xUuixSHU8bTt2hl2To7QlJluajyJr0U9PDk5uejeveFTV0FBAe6fMhVdunRpdNyUEhMTMWr0GAweMhRdgrvhnf97F2+8+TomTpxw3efZ2dlBpVI1+pIC/17i1u8IchKTUVlaBjtHR6gDO4gaCxlGux51K3enXogWNY6suARUlpbBQaXkvSUTwuyspPBI1NbUiBZHUVYO8lLSYGVtzSFTC9SihOfpec8gJ6dxbUxVVRXmPvkUJt99jyHjapFLly6hqKgIJSUl+O233/Hdt99h+rRp133OooULkBAfp/s6HxFuomj1I3Tzm3r9natpa2uRFhUDAGjfg8NaciAMT6aKMIPmStraWt0sHn/+UZKFDiJOR7+aMKwVwH21LE6LEp709HRdMfCCBf9D714NN8zJk9efSWVKly9fhqub63Ufs3bdegQEBum+Qnqaf/GtlY0N2navG3YQu4cHaOgJEHoGSMIUCt2QVkqkuD08QMP9zU/h0qewsoJ//czSxDBzSHi4kailavU6PMOHD8Nzzy6CRqPBv0eP4p/D/+DwP/8gPj7BgOG1TucuXRAXG3fdx2g0Gmg00lqHoU2XINja26OsoBC5SeJv2SF8CmfhsvSpO/jBQaWEprwc2fGJYofDwmUZ8e3cEQ4qJcqLS5AZGy92OEgMq+vh8e3cEQ7OKlQUl4gcEZlKq/d7mDZtBoI6dcHsOQ/i/PlITJ48GYcPHUTomVNY+8Ea3HvPPfD09DRkrDqbftiIGTOmAwBuu+1WTJ48CWq1Go6Ojnhgyv2YOWM6vvzqK6O0LSbh026yCTfdu560+h4ej/Zt4eTqInI0pI929cOSaVExZlEknBZ1CdWaKqg8PeDe1lfscEgPQs9hauRFs7i3SvMLkZucCgBo05VrPVkSvTa4qqmpwcmTp7BmzQe47/4pCOrUBc/M/x+qqqqwatVKRJ43znoL7du3h4e7OwCgsLAQTz/1FP47cQwXoy7gwYcexKzZcxAZKf6Qj6E11O+Ybgfr66koKUVOQjIAoC17eSStXf1CbKlmMJwFADVVVUiPrpvNI2x1QdIkJBVCzZ85EGaKtQ3uJHIkZEoG2S3d1tYWo0aNxLhxt+P2226DtbU1/vhzFw4ePKj3uY8eO4Z+/Qc2Ojb6ljG6f586dRp3jb/+jCxZUCh0qxqbQ/2OIOXCRXgF+KFdj2DEHjefOi5qGaHwPOWCuAXLV0o+dwF+PbvDr1d3nNtzQOxwqJXaCgmPiNPRr5Z28RJCbr8Fbbp2ETsUMqFWJzze3mqMGzcOd4wbh0GDBiIsPByHDh7CjJmzER1tHp8S5UQd4A9HF2doysuRcemy2OHopEZGo8/429G+OwuXpcrBWQVP//YAgLQL5vMpXLfiMut4JMte6QSvDnWLWYq5/s7VdD083TikZUlanfBEnAvH2bNhWLf+Qzz+xFxUVlYaMi66ilC/kxoZbRbj4ILU+h6BNl25AKFUCUXnuUmpomxGey0p5+tqPjzat4XS3Q2l+QVih0Qt1KZ+yCg/LcOs7q3M2HjUVFdD5eEOF28vFGWJt4grmU6ra3gWPfscUlJT8P7qVdi6ZTMWLlyAPr3Nf2q3VJnL+jtXy0lMQUVJCewcHeDdkYvESZFu/R0zGs4CgMrSUmRdTgDA6elSJdTvmFPvDgBUazS6e6sth7UsRqsTns2bt+Dxx+cipGcvvLtyJZydnbF27QeIuhCJL7/4HDNnzkCbNm0MGatFM8f6HQCAVou0qLo3M67HI03mssJyc5Kv2GaCpKdtsFC/Yz5DpYL0+vetNl1ZuGwp9JqlBQC1tbU4ceI/vPXW27hlzFhMmnw3iouL8dabbyDs7BlDxGjxnNxc4eqjhra2FunRsWKH00Qq1+ORLIWV1RULDppXDw/QUOjahrNpJKlNN6GHx/zet9LqZwGyh8dy6D1LS6l0wpAhQzBi+HCMGDEcPXr0QGxsHH7cvAVH/jliiBgtnm+XIAB1mzpqys1vs7sUrrgsWV4BfrB3ckRlaZluiQFzkhFTt4CoT6eOrBGTGJWXB1zUXqitqUHGpesvBCsGoYfHN7gT7y0L0eqE59VXX8GI4cPRu3cvpKdn4Mi//+LTTz/HkX//1e2oTobRpj7hSY8xvzcNoGFmj0e7NnByc0VZQaHIEdHNal+fpKZdvGSWb/i5yanQlJfDztERnn7tkJNofkkZNU8YzspOSEJVhflNaslJSoGmvBz2To7w9G9nlgk/GVarh7QCAwKwefMWDBs+Av0HDMSiRc9i2/btTHaMwLdLXXd+Roz5dQsDdcWl2QlJABpW7CVpMJcNQ69FW1ur245A6OkkaRCGs4QaP3NzZYkAh7UsQ6sTnsefmIvvN25EQoL4++7InfBGn2GmPTxAwwq97bgej6QIvy9zLFgWCPc9Ex5pEXp40s2wYFmgqxFj4bJFMEgNz6OPPoqQHj2gVCqb/Hz2nAf1bcKiObm6wNVHDQBmteDg1VIio9Bnwu26FXvJ/Dm6OMPTvx0A8054hKHcNkx4pEOh0CURaWZYsCzQLUDIHh6LoHfC8/FHH6FLl87Yvn0HSktLDRETXUH4VJublApNmfkVLAuEHp42wVyAUCradq97k89JTDbrHaOFoVyfzixclgqP9m3hoFKhqqISOfXD3eZI6OHxDgqAta0taqqqRI6IjEnvhGfUqJEYPmIU0tPTDREPXUVXv3PJfD8lAXXFpZVlLACUEt/O9cXwZrjUwZVyk1KhKa+AnaMjPNq3RW5Sitgh0Q0I+2dlXIpDbU2NyNFcW1FmNkrzCqD0cINPp0Cz2uCUDE/vdXgKCwtRxazYaHQztKLNt34HAKDVIiuurrjUp1NHkYOhm+HTKRAAkBlrvkOlQH3hchwLl6XEHDcMvRZhUURhPSqSL70TnnXr1mP1qvcQGBgAhUJhiJjoClIoWBZk1tcYCX9IybwJiWnmpXiRI7mxDF0dD4tLpUC3pYSZztC6Ehe3tBx6D2mdPRuGxYtfwInjxxodVygU0Gq18PFtq28TFsvRxRmuvt4AzP9TOABk1Mfo25k9PObOXqmEe1tfABK5t+rreNjDY/6sbGx0ybSwmrE5Y+Gy5dA74Vm3bi0OHTqM7zduRAEXnDMo3/pPHLnJqagsLRM5mhsT1kvhkJb5E3rhCjIyUVFi/pMNMuqHdH06dwQUCkCrFTkiuhbvjgGwsbNFWWERCtIyxA7nhoQaNk//dnBQKSXx/4FaR++Ep2PHQN3+WWRYbXTDWeZdVCrISUhCTXU1HF2c4eKjRlEmF6E0V7r6HQkMZwHCqrgVdUXx7dsiNzlV7JDoGtp2M88d0q+lvKgYeanp8GjXBr7BnZBwJlzskMhI9K7hCQ8P567oRuIrlYLlejVV1bopqL7s5TFrPvXDjlIYzgKuKlxmrYVZk1LBskBYHJHDWvKmdw/Pmg/W4uuvvsQPmzYhMSER1TXVjX6+f/8BfZuwWFIqWBZkXIqHT6eO8OkUiJij/4kdDl2DkJCa82KWV8uIiYNfSDf4dglC5P7DYodD19DwQU0aPdNA3eKIPW4dzcUtZU7vhGf1qlUAgLlPPNHkZ1qtFgP2D9K3CYvk6OIMN18fANL5FA4Isd6q60Eg82NtawuvAD8ADTPrpEAY2uUfJfNlbWsDT//2ABpq+qRAWFLDOyhA3EDIqPROePoPGGiIOOgquhWWJVKwLBCSMxYumy91YAdYWVujrLAIxTm5Yodz03SFy51YuGyuvDr4wdrGBuVFxSjOzhE7nJuWFZcAAHBv1wZ2To5mvao9tV6ra3i2b/sV06ZNhaOjoyHjoXpSHM4CGj7Vufqo4ejiLHI01JyGgmXp9O4AdYXLVRWVsFc6waM9l7swR95BdfeWkEBIRXlRMYrqEzTvjh1EjoaMpdUJz6ZNP+L+++9D5Plz+OTjjzB69ChDxmXxhAXWpJbwaMrKkZdat80Ie3nMk7BOUoaEhkqB+sLlWK64bM586hMeocBcSoQkTUjaSH5anfD88uuvmDp1OoYNG4GoqCi8+cYbCA8LxbJlS9G5c2dDxmiRpNrDA3DFZXPXsMKytBIegHU85s47qK53RGo9PEBDkubdMUDcQMho9J6WnpGZiQ8/+hijRt+CBx98GA4ODvht5w7s27sHjz/+mCFitDiOLs5wa1NXsJxxSYIJj1DHw8Jls6OwstIVZkox4Umv/wDAHh7z5C2LHp4AUeMg49E74blS+LlzePXVpQjp2Qtr1qzFsGFDDXl6iyEkCnkpaZIqWBbohh04pGV23Nu1gZ2jAzTlFbqhRykRejx9OwfVFS6T2VB5ecDJ1QW1NTXISUgWO5wW0yU8HTvw3pIpgyY8gpqaGuzeswePPvq4MU4ve7oaCwl+Agca4vbwawsbezuRo6ErCUlo1uUEaGtrRY6m5XISk1FVWVe47F7fC0rmQajfyU1ORU1VlcjRtFxeShqqKith5+io22eO5EXvaelKpRMeffRRhPToAaVS2eTns+c82Opzq1QqfPjhOvTu1Qv9+l97+ntISA+sXPkuQnqEID09DW+8+RZ27drd6nbFpg6U7jg4AJTm5aMkLx8qD3d4dwxAWlSM2CFRPZ/O9UMOEitYFmhra5GTmIw2XTpB3TEA+RLYq8lSCENBWRIczgLq7q3s+CS07doZPkGByJdgDyhdn949PB9/9BFmTJ+G2NhYHDt2rMlXawUHB2PvX7tRXVV93cfZ29tjy+YfsXvXbnTr3gPPP78Y69Z+gO7du7e6bbEJ0yKz4xNFjqT1hPoQ7pxuXqRcsCzIvlz3/4LTh82LboZWbIK4geiBdTzypncPz6hRIzF8xCikpxs2Gx4xYjhef/1NlJSUoH//ftd83B13jENpaSk++vgTAMDRY8ewdetPePihB7HkxZcMGpMpWFlbw6tD3Sq4Uu3hAeqmPAcN7s+ZWmamYbhUmp/CgbrhOICzacyN1Ht4gCtXXOb7lhzp3cNTWFiIKiOM13799Tf4a+/eGz6uZ8+eCA092+jYmTOh102SzJmHX1tY29qisrQMhZlZYofTaln1hctci8d8qLw84OTmitqaGkn3HmbV9/AIQ78kPhs7O91ikJkS/qAmzC7zYQ+PLOmd8Kxbtx6rV72HwMAAKESobPdwd0defn6jY3n5eVCr1dd9np2dHVQqVaMvc+AdGAAAyI5PEjcQPQmFy+qOHaCwMkptPLWQULCck5gsyaJSgTCk5d7Ol0XxZkId6A8ra2uU5hegNC//xk8wU1lxdfeWq683HFRNa1JJ2vT+S3T2bBgGDhyAE8ePISM9FZkZacjMSENWZjoyM9IMEeN1aZvZT0ehUKC6+vq1P4sWLkBCfJzu63xEuLFCbBG1sHBXfbe9VOWnZaCytAy29vbwqt9MkMQlLHcgpU0dm1OaX4DS/IL64V9/scMhXDmclSBqHPqqLC1FQUYmgLoPayQvetfwrFu3FocOHcb3GzeioKDQEDG1SE5uLjr4N37T8/TwRPYNNq5bu249Pvn0M933KpXKLJIe70DpFywDALRaZMXFw69XD/h07ojsBGn3WMmB0MMj1eUOrpQdnwiluxu8O3bQrb5M4pHygoNXy4pLgJuvD3yCApF87oLY4ZAB6Z3wdOwYiEmT70ZxcbEh4mmxs6Fncc/dkxsd69e/H2IuXX8qtEajgUajMWZorSJ8qpB6Dw8AZMTWJzydAnF+3yGxw7F4uk/hEu/hAerqeAL69eancDMh1LwI9VVSlhWXgC7DB7NwWYb0HtIKDw9HmzZtDBHLTdv0w0bMmDEdALD/wAFYWVtj/jPz4OjoiGHDhmLmjOnYuPEHk8ZkCPZKJ7j51i2mli2DN47s+qTNK4DDDmKzdbCHe7u6/6dySKY5U8u8yGGGloBT0+VL7x6eNR+sxddffYkfNm1CYkIiqmsa187s339A3yaaaN++PTzc3QHUreo8c+ZsrHl/FZYsWYycnBy8unQZTp48ZfB2jU0dWJcYFGXloKKkVORo9CcUXguvi8QjLHVQkpuH8iJxemMNSbcWD2dqic7FRw0HlQo1VVXISUwROxy9CcNy6kB/KKysJLkiOTVP74Rn9apVAIC5TzzR5GdarRYD9g/S6/xHjx1rssry6FvGNPo+NjYWk+++V692zIG6foaWHD6BA9DV7bioveCgUsoiiZMqta42TB61VNkJSdDW1kLp4QYnN1eUiVA/SHWEBQdzklJQe4PJIlKQn5YBTXk57Bwd4dG+LXKTpJ/EUR29E57+A6695QO1jLeufkf6w1kAoCkrR2FGFlx9veEV4I+U81Fih2SxhF42uSQ81ZUa5KWmw9OvHbw7dkBC6DmxQ7JYcpmhpaPVIutyItr36AqfoEAmPDLCBVLMiBy2lLia0MvDReLEpevhSZDRvVX//0TNOh5RNWwpIf36HQHreOTJrDcPtTRymqElyI5PRKchA1jHIzJ1gLx6eIC6Op6uo4ZxTy2R6d635NLDgyu3mAgQNxAyKL0Tno8/+ghdunTG9u07UFrKGo3WclZ71RX+VVcjNylV7HAMhoXL4nNwVsFZ7QkAyElIFjkawxE+GLD3UDy2DvbwEGb/yWCGliCTPTyyZLabh1oa7/oVlnNlUvgn0A078I+SaITenYL0TGjKy0WOxnAa9tTibBqxqAPrto4pyc1DWWGR2OEYjDAL0EXtBUcXZ1nMbCQz3jzU0jTsoSWfGgsAyE1KRW1NDZxcXaB0dxM7HIukK1iW2WrXBemZqKqohK29Pdzb+oodjkWS20QLgaa8HPlpGQD4YU1OJL95qFw0jIPL642jWqPhG4fI5DYlXaCtrb2icJn3lhiERUXllkwDQE4Ch+PlRvKbh8qF7pNSfIK4gRhBDut4RNUwJV1eyTQAZNW/Jq64LA5hQcscGSY82fX1bsJrJOmT/OahcmBlYwPP+h3F5bClxNWyE5IQPGooe3hE4iXDGVoCrrgsLjnO/hMISZxXABMeuZD85qFy4OnXDtY2NqgoKUFR1vV3eZeihsJl9vCYmtLDHU6uLqitqZHlAmoc0hKPvVLZMPsvUT6z/wS6NcS4F6BsSHLzULkR3qzl2LsDNHz64yaipickmfmp6aiR4eQCYe0X97a+sHWwFzcYC6MOrOv5KMzMhqZMPrP/BLlJKdDW1sLJzRVObq5ih0MGIMnNQ+VGqD/IkmGNBQDkpaShpqoK9k6OcPFRoygzW+yQLIZcC5YFZYVFKMnLh8rDHV4B/ki/eEnskCyG8AFGjvU7QN32JfnpmfBo1wbqAH8khkWIHRLpyew3D7UE3jLv4akbTkmFd1AA1IH+THhMSM4Fy4Lsy4lQebjDu2MHJjwmpJbxDC1BTkISPNq1gVeAHxMeGeDmoWZA+BQupy0lrpadkFiX8AR0QNyJM2KHYzHk3sMD1P2/CRzQhzO1TKyhh0d+9TuC7IQkdBk+mHU8MtHqGp7Jkye16PH33nNPa5uSNTsnR7j6qAEA2fEyfuPg1HTTUyigrp9hIuseHqFGjNOHTUq4t+RYsCwQkjnWH8pDqxOeJ554HH/88RseeGAKnJ2dm32Ml5cXZsyYjv37/sJjjz/a6iDlTHiTLs7ORaWM9yJrSHg4m8ZUXH3UsHN0RLWmCnmp8t36RfiDy4THdBycVVB5egCQdw8Pp6bLS6uHtCZNuhsPPDAFDz44B+vWfoDExESkpaWjuLgYHh7u8PHxgZ+fH8LCwvH1NxuwZctWQ8YtG7qFu2T8KQlo6GHw6tCe+x6ZiJBc5iYly/p6C/93nNWesFcqZf3BwVwIQzyFGVmy2p/taldvjVOaXyB2SKQHvWp4fv75F/z88y/w9PTEwAED4OPjDTd3dxQVFiIjMwuhoWeQmZllqFhlyVISnoKMLGjKK2Dn6AD3dm2QlyyfHeHNVUPBsnzrdwBAU1aOoqwcuHh7watDe6ReiBY7JNkTejzkXLAM1G2NU5CeCY/2beEV4MeER+L0LloGgNzcXOz56y9DnMrieFnAODgAQKtFTkIS2nbrAnWgPxMeE7CEgmVBTmJyXcIT4MeExwQsoWBZkJ2QBI/2beumpp/lTC0p03vhQdJPw140lvHGAXDlUlOxhCnpghzue2RSagvp4QFYuCwnTHhEZOtgD7c2PgAsoIcHV24xwcJlY7OytoanX/3+bBbRw8OZWqYk90UHr9TwQY33ltQx4RGRsGFoaV4ByovkvxcZp6abjnu7NrCxs0VlWTkKs+S/0CNnapmOo4szVB7uAICcRPntz3a1hplafN+SOoPU8FzJ1dUVY8bcgja+vgCAjIxM/H3wIAoLuZP61SylYFkgJDwe7dvC2tZWlns7mQshqcxJSAK0WpGjMT7hD6+rrzfsHB1lPXNIbELdYUF6JqoqKkSOxviEmVqOLs5QerijNC9f7JColQzawzNr1kzs2f0n+vfrBysrK1hZWaF//37YvesPzJo105BNyYKlJTwluXmoKCmBlbU1PNq3FTscWbO0e6uiuAQluXkAAE//diJHI2+WsKXElWqqqpCfmgGA9YdSZ9Aenv/NfwZjb70dZWVljY4r33XC3wf2Y9OmHw3ZnORZzAytK+QkpKB9SFd4dWhvEcW0YrGkYnhBTmIyVJ4e8ArwQ3p0rNjhyJYl1e8IchKS4OnfDupAPySEhosdDrWSQXt4tFotVCplk+MqlQpaC+hWbymL/KOUxFoLU9DdW0kWdG9xppZJCL0cFvVBLZEzteTAoD08K1a8jt927kDUxYtIT6/rAmzbpg26dg3G8uWvGbIpybOxs7tihpblfFLKra+18OQfJaNRWFnBw69uyDDXAopKBSxcNg3dooMy3vvvatksXJYFvRIeKysr3HHHHTjyzz8oKS3F3n37sP/AAfTr1w++vnV/zDMyMhEaGopaGS9t3xoefm1hZW2NssIilOZbTkF3wx+l9iJHIl9ubXxgY2eHqopKFGbKf4aWgAmP8QlbLAB1W5ZYCk5Nlwe9Ep7a2lp88fmnGDFyNErq96+pra3F6dOnDRKcnZ0d/u+dtzFx4gQoFAps37EDr766DNXV1U0ee/LkCXQMDGx0rHuPEGSZ6ZRc4U0514K6hYGGP0oe7dtxTy0j0d1byakWdX2FIS23Nj6wsbdDdaVG5IjkR+jdyU/LQFVFpcjRmE5ect1MLQdV3aapQoE8SYveNTxhYWHw9zdON9+ypa+iS5fOGH3LWIwcNRqdgjrhlZdfavaxPt4+CO7aHV5qH92XuSY7gOXNohEUZmajqqISNna2uiE9MixhfSdLu7fKCotQVlAIhZUVPP04U8sYLLFgGQBqqqqRn5oOgDunS5neCc+XX32Npa++grZtDTvNWKFQYPbsWXjjzbeQkZGBzMwsLF+xAo888jCsrBqHrVKpoFDU7eklFZY4QwsAoNUiN6muroRvHMYhXFdL6z0EWFxqbA1T0i3v3uLWONKnd8Lz1ZdfoG/fPjj67z/49JOPMXv2LPTu1Qu2trZ6nbdjYCCcnJwQFtYwBTAy8gJsbGwQHBzc6LGenp6wtbVF1IVIpKUm48Txo3hwzpzrnt/Ozg4qlarRlykJPTyW+MaRIyQ8/kx4jMFL6OFJspyCZQFnahmX7oOahfXwANxTSw70Llpevvw1JCQkICSkB3qE9MDCBQvg7++H6upqxMbGYfQtY1p1bncPD5SWlqLqqtV4CwoKoFarERUVpTuWmJiIUaPHIDMzE7W1tRg7dgzWr1+HvPw8/PHHn82ef9HCBViyZHGrYtOXlY2NbuE9i+vhQcMbhycLl43C0wKXOxCwcNm4LHUoHrgy4eG9JVV6Fy2/+urLGDFyNPb89ZfuuEqpREjPEHTv3r3V577Wuj0KhQI1zRQtX7p0Sffv3377Hf379cP0adOumfCsXbcen3z6WUPMKhXOR5hmQSnP9nUztCpKSlGSY3nFb7lci8donNVesHdyRE11Q82BJWkY0uK9ZWiOLs5XzNCywN5D4X3Lnx/UpMooRcslpaU4ceI/fPPNhlafNzc3B0qlstHQmEKhgKurK7Kyb1yMfPnyZbi6uV7z5xqNBiUlJY2+TMVi63fqCfseefKNw+CE6f75qemorakRORrTE4aI3dv6wlrPYXVqTPj/WpiRZVEztAR5yWnQ1tbWJ37X/ttC5stsi5YTEhKRn5+P3r17646FhPQAACQl3Xj8uHOXLoiLjTNoTIZiyd3CQN0f45rqatg7OcJZ7SV2OLIiJDyWem+V5uWjvLh+vzY/7tdmSJ4WXBsGANUaDQrSMwHww5pUmW3RMgBs2PAtVixfCl9fX3h7q/HaihX4+edfUFlZiU0/bMSMGdMBALfddismT54EtVoNR0dHPDDlfsycMR1ffvWV3jEYQ0Phn2X+UaqtqUF+Cqd4GkPD+k6W+UcJaEj21B1YXGpIQjJt0fdWktA7zfctKdJ7a4l+/QcipEcPgxctA8Dq99fAxdUVhw/9DTs7O+zatRvLli8HALRv3x4e7u4AgMLCQjz/3HNY+8EaWFvb4FzEOcyaPQeRkRf0fXlGYek9PEDda/cK8IOXf3vEnzordjiyIbwRZ1vyvZWQDL+QbkymDayhh8dy763cxBR0HjqQK8VLlN4JT0pKClJSUgxetAwANTU1ePXVpXj11aVNfnZlInXq1GncNX6CXm2ZipW1tUXP0BKwuNQ4LHkNHgFnahkHew8bkj0OaUlTqxOetR+sQXh4OMLPRSAyMhKVlQ1FbELR8okT/xkkSDkRiik15eUoysoROxzRNKzFwzcOQ3FydYGTqwu0tbXITU4VOxzRMOExPBt7O7j6qAFY5gwtQW5S3f8r3lvS1OqEp2PHQEyePAkqlUo3fBV+LhznzkUgPDwc589HoqyszJCxykLDDK0U4BpT7y1Bw1o8fOMwFGFdo4KMLIveR0q4t9zbt4GVjQ1qm1nGglrG069u77uywiKUFRaJHY5ohJ5TF28v2Dk6QlNeLnJE1BKtTngm330vgLrEp3ev3ujVqyd69eqFO++4A66urqitrUVcXByGjxhlsGDlQNctbMGfkoC6zfi0tbV1vRJurigrsJwd443Fq75I19LvreLsHFSWlcPeyREe7dpY9NCxoXha6GbHV6soKUVJXj5UHu7w9G+H9OhYsUOiFtC7hufy5XhcvhyP7Tt26I75+/ujT5/e6Nmzp76nlx1L3djxatUaDQoysuDe1hdeHdojiQmP3ix9SvqVcpNS0LZrZ3j6t+P1MABL3q7karmJKfUJT3smPBKj97T05iQlJeG3337H22+/Y4zTS5onp3bqCH+IOMXTMJhMN8jl9GGDari3+L6lK1zmTC3JMUrCQ9egUMDTrz7h4SclXdLHmVqG0TBDi/eW8P+L04cNo2ENHibTuvctJtOSw4THhFzUnrBzdKjb5ygtQ+xwRMe9aQzHzskRLvWrVvNTOLcvMSSFlVXDUhr8oKa7t5hMSw8THhMSCv/yUyxzn6Orcdd0wxH+sBfn5KGytFTkaMSXqxsubQcoFCJHI20NS2lUWPRSGgKh99C9Xd0sQJIOJjwm5OXfDgCHswTCdXBRe8Fe6SRyNNLWMPuPQw4AkJ+WgZrqatg5OsLZy1PscCRN+ECSl5xq0UtpCIpzclFZWla3iGy7NmKHQy3AhMeEhAJKdgvXqSwtQ3F2LgAOPehLN0PLQvdnu1ptTQ3yU+v3a2MPol68+L7VhK4onveWpDDhMSFP9vA00bAZH9849MFkuilhVVzeW/rRvW+xYFlH977lx3tLSpjwmJDukxKLSnWEN1F1AHe21gdnaDXFonjDEGoPmUw3yGXhsiQx4TERB2cVlB5uAOrHwgkAkBF7GQDQtlsXkSORLidXF10tQWZcvMjRmA/28BiGkDAymW7AtXikiQmPiQhvukVZOdx/5QopEVEAgLbdOsPaljMeWqN9SDcAQHZ8IiqKS0SOxnzoZmrxj1Krqbw8YK90Qm1NDfLqa6KoIfnz9GvPWYASwoTHRFi/07y8lDSU5hXAxs4ObYI7iR2OJPn16g4ASD53QeRIzIuwY7zKwx0OKqXI0UiTMAyfn5rBTVivkJ+WgZqqKtg5OsDF20vscOgmMeExEc50uLbk83V/qP169hA5Emny61mf8JyPEjkS86IpK0dRdt26MRzWah3d7D8ud9CItrZW1+PFGjHpYMJjIpzpcG1Cz0T7nt1EjkR6bB3s4dslCACQfC5S5GjMj66Oh8NarcK9/65NN6zVgVtMSAUTHhPx1C0Mx4LlqyXX1/G0D+nG8fAWatc9GFbW1ijMzOYquM1oWHGZCU9rCNOu2TPdlLBJr7CgLJk/JjwmYG1rCzdfbwDcybo5mbGXUVlWDkdnFaent5BQsJwcwfqd5gh1PBx2aB1uGnptDWuIsYdHKpjwmIBH+7awsrZGRUkJSvMLxA7H7Ghra5EaeRFAQwEu3Ry/XnV1TyxYbl4Oe3hazV6phMrTAwB7ppsjJIFci0c6mPCYgFC/wwUHry2lvuBWKMClG7Oytka77sEAgBT28DRL+EPt1sYH1ra2IkcjLcIfci6l0bzc5FRoa2vh5OYKRxdnscOhm8CExwS8WL9zQ0IPBXt4bp5Pp0DYOTqgvKgY2RxyaFZJbh4qSkq50WMrBPTrBQDITkgSORLzVF2pQUF6JgAgsH8fcYOhm8KExwSE7nTuZH1tqVHRqKmuhovaC64+3mKHIwlCcphyPoq7WF8HN3psORt7Owy8fxIAIGLvQZGjMV/CtRky4z6RI6GbwYTHBBoSHvbwXEt1pQYZMXEAOD39ZvmF1K+/w+Gs68rlBrUt1mf87XByc0V+ajqiDv4rdjhm6/T2P6EpL4dv547oOLCv2OHQDTDhMTaFAp5+Qg0Pe3iuRxjW8uew1k0REkMWLF9fDjd6bBEra2sMnnoPAODE1h3Q1taKG5AZqyguwdnf/wIADJs1ReRo6EaY8BiZq7catg72qNZU6cZ7qXlccfnmefq1g9LdDVWVlUiv7xmj5uUmc/pwS/S4bRRcfb1RkpePc3sOiB2O2Tv582+oqaqCf+8QtOvRVexw6DqY8BiZUDeQn5rGT0o3IGwk6hXgx1kPN9C+fjZbWlQM9zi6gYaNHttxYcsbUSgwdPr9ABr+kNP1FefkImLvIQDAsJn3ixsMXZdZJzx2dnZ4f/UqRF+8gJjoKKxc+X+wsWl+R+2QkB7488/fkZgQjxPHj2L8+LtMHG3zhLoBTkm/sfKiYuQk1A37sY7n+nQFyxHcP+tGhI0ebR3s4eqtFjscs9Zl+GB4BfihoqQEob/tFjscyTixZRu0tbXoPGwQ1IEdxA6HrsGsE55lS19Fly6dMfqWsRg5ajQ6BXXCKy+/1ORx9vb22LL5R+zetRvduvfA888vxrq1H6B7d/FrQXQrlXJp9puSHFG3H5RQkEvN86tfYTmJBcs3dOVGj57cBuC6hB6KMzt2Q1PGtXduVl5KGi7+cwwAMJS9PGbLbBMehUKB2bNn4Y0330JGRgYyM7OwfMUKPPLIw7Cyahz2HXeMQ2lpKT76+BOUlZXh6LFj2Lr1Jzz80IMiRd+Ae9G0TBLX47khlacH3Nu1QW1NjW6Farq+hqnprOO5loB+vdC2WxdUVVbi1K+/ix2O5Bzb9AsAoPuYEXBr4yNyNNSc5seHzEDHwEA4OTkhLCxcdywy8gJsbGwQHByMqKiGrvyePXsiNPRso+efOROK+fPnXfP8dnZ2sLOz032vUqkMGH0D9vC0jDBE0657MF7YtVXkaMyTlXVdwp8Vl8BP4TdJqOMZ++RDGP3oLJGjMU/WtnV/DsL/3IeygkKRo5GezNh4xJ0MRdCgfpj77ceorakROySzkRgWgZ9feUvsMMw34XH38EBpaSmqriqaKygogFqtbpTweLi7Iy8/v9Hj8vLzoFZfe7x+0cIFWLJksWGDvoqDswpObq518SRzDZ6bUZiZhdSoGLTr1gV2jg5ih2PWog4dFTsEybh8+iyGzrwf1jY2sL5GHSABFSUlOLF1u9hhSNaRbzcjoF8v2NjZAuBWJgKbKzoXxGS2//O111g5VqFQoOaqWSnNPVahUKD6OrNX1q5bj08+/Uz3vUqlwvmI8Gs+vjUqikvw/sQZcGvri6qKSoOeW86+n/8iXLy9xA7DrNVUVaMkN0/sMCQj+dwFrL33QdgrncQOxayVFRShqqJC7DAkKy0qBuvufRD2KqXYoZiVao15zPYz24QnNzcHSqUStra2ul4ehUIBV1dXZGVnN3psTm4uOvj7Nzrm6eGJ7Oyca55fo9FAo9EYPvCrVJaWIfPSZaO3Iyfa2loUZmSJHQbJTEVxCSqKS8QOg2SuoqQUFSWlYodBzTDbouWEhETk5+ejd+/eumMhIXUL0iUlNd7M7mzoWfTt26fRsX79+yHmUozR4yQiIiLzZ7YJDwBs2PAtVixfCl9fX3h7q/HaihX4+edfUFlZiU0/bMSMGdMBAPsPHICVtTXmPzMPjo6OGDZsKGbOmI6NG38Q+RUQERGROTDrhGf1+2twLuI8Dh/6G/+dOI6MjAwsW74cANC+fXt4uLsDAGpqajBz5myMG3c7oi9ewEcfrserS5fh5MlTYoZPREREZkLh6eXdfHWwhVGpVEiIj0NAYBBKSjjOT0REJCdmW7QsFmOtx0NERETGc6POCiY89YREx9BT04mIiMj4bjRCwyGtK/j6+hp8OEtY3yekZ28OlRkZr7Vp8DqbDq+16fBam4YxrzN7eFogIyPDaOcuKSnhfyIT4bU2DV5n0+G1Nh1ea9MQ4zqb9SwtIiIiIkNgwkNERESyx4THyDQaDd57b5VJtrGwdLzWpsHrbDq81qbDa20aYl5nFi0TERGR7LGHh4iIiGSPCQ8RERHJHhMeIiIikj0mPERERCR7THiMyM7ODu+vXoXoixcQEx2FlSv/DzY2XOtRX5MmTcSuP/9AQsJlXIg8jzdefw3W1tYAADc3N3z11Re4HHcJkefPYfELz4scrXzMf2YecrIz0bVrVwC81sbQo0d3/LDxe8ReikZ6Wgoee+xRALzWhtS5c2f89NMWJCbEIyHhMrZs+RGdgoIA8D1bXyqVChs2fI3QM6caHb/RdTXVdWfCY0TLlr6KLl06Y/QtYzFy1Gh0CuqEV15+SeywJM3Z2RkPPfggVq1ejeDgbrj3vvsxbtztmD//GQDA2g/WQKFQoP+AQZg4aTImTJiARx5+SOSopW/w4EEYPXo0SkvLdMd4rQ0rIKADNv+4CX/8+ScGDR6K9n4dsGnTjwB4rQ3ph43fIT4+Hr1690Hfvv2RkZ6BL7/6AgDfs/URHByMvX/tRnVVdZOf3ei6muq6c1q6kSgUClyOu4Sp06bj1KnTAOo+vf3x+28I6tQFtbW1IkcoHwsW/A/Dhg3F/PkLEHn+HHr36afbJuSuO+/E0qWvYPiIUSJHKV1eXl7Yvu1XzJw1G0eOHMadd45HTk4Or7WBffftBuzYsRPbd+xodNzLy4vX2kCsra2RnpaCkaNuQXR0NABgyJDB+GnrFnQI6Mj3bD089tijSElOQUlJCT78cB369R8I4MZ/C7VarcmuO3t4jKRjYCCcnJwQFtaw+3pk5AXY2NggODhYxMjkx9PDA5mZWQgJ6YHMzMxGe6KdCT2Dzp07Q6VSiRihdCkUCnz6ycd4++13kJycrDvOa21YdnZ2GDVqJMrKynD40EEkJcbj9993olOnTrzWBlRTU4OdO3/DC88/BwcHBzg6OmLe009j4w+b+J6tp6+//gZ/7d3b5PiNrqsprzsTHiNx9/BAaWkpqqqqGh0vKCiAWq0WKSr5UavVmDp1Kr777nt4uHsgLy+/0c/z8vJhZWUFtdpLpAilbcniFxAZGYk9f/3V6DivtWF16NAB9vb2mD17FmbMnIVevfsiLu4yvt3wNa+1gS1YuAhVVVUIO3sGZ06fQkREBJYuXcb3bCO50XU15XVnNZaRaLXNjxQqFArUVDcd46SWUyqdsPH77/DZ558jNDQUHfz9mzxGoVAAAKqra0wdnuSNHj0KI0YMxz333t/kZ83d37zWrefm5gqFQoH5/1uAwsJCAMCyZcsRFxuD9n7tmzye17r1brnlFvTr1xdvvf0O/P39MWfObJyPvICsrKxmH8/3bP3c6G+hKf9WMuExktzcHCiVStja2uoyV4VCAVdXV2RlZ4scnfQ5ODjg++++w+kzZ7Bu3XoAQE5uLjw83Bs9ztPDAwCQzWveYosWLkTv3r0REx2lO6ZSKrF71x9IT09vMpzCa916FRUVqKmp0SU7AFBcXIyy8nJYW1vzvjYQT09PfPH5p5gwcRLOnYsAAOzetRs7d27H9Bkz+Z5tBDf6W1hVpTHZdeeQlpEkJCQiPz8fvXv31h0LCekBAEhKShIrLFlwcHDAxu+/w6XYS1i6dJnueHh4ONRqNXx9fHTH+vXvh6SkJFRUVIgRqqQ9+dRTGD5iFG4Zc6vuCwAeefQxTJx0N6+1AV26FIva2lr07dtXd8zHxxsqpRKbf9zMa20gAQEBUCgUumQHAM6GhaGyshLW1jZ8zzaCG/0tNOXfSiY8RrRhw7dYsXwpfH194e2txmsrVuDnn39BZWWl2KFJlpDsRMfE4KWXXmn0s6KiIvy6bRvefuctuLu7o0OHDnhxyRJ8v/EHkaKVtqysbCQnJzf6AoCMjEzk5eXxWhtQRUUFvv9+I9asWQ1/f394eXnh3Xf/D/sPHEBGZiavtYFEX7yIyspKvPTSi3B1dYWLiwsWv/A8FAoFwsPD+Z5tJDe6rqa67kx4jGj1+2twLuI8Dh/6G/+dOI6MjAwsW75c7LAkbfLkSRgz5hY89eRc5GRnNvry8/PDiy++BE2lBmdOn8S+vXtw5MgRrF//odhhyxKvtWG99vobOHr0GPbt3YPTp/6DVqvFvHnzAfBaG0pJaSmmPDANQ4cMxrnwMJyPCMfIkSMwZcpUFBUV8T3bSG50XU113bkODxEREckee3iIiIhI9pjwEBERkewx4SEiIiLZY8JDREREsseEh4iIiGSPCQ8RERHJHhMeIiIikj0mPERERCR7THiIiIhI9pjwEJFJPfTgHDz22KONjn337QZMmDDeZDFcuSVJYGCAQc+9etV7unO//toKg56biFqPCQ8RmdSIESOaHHvo4Ufw55+7TBvHyNHwUvsgPj7BoOd9YfESeKl9sHnLFoOel4j0w4SHiEzmqy+/wL333oOV7/4fcrIzsXrVewCA/fv+wvTp0wAAw4cNw++/78T06dMQdvYMEhPi8flnn0KtVuPzzz5FQsJlnI8Ix6OPPtLo3MOGDcWB/XuRnJSAfw4fwq23jr3puKZPn4ZPPv4ICxb8D1EXInE57hLeeedttGnTBps3b0JSYjzOnD6FiRMn6J4THByMHdu3ISHhMi5GReLHTT9ApVQa4CoRkTEw4SEik3n8ibk4evQoXnzpZXipffDC4iXNPq5P794YPGgQRo0egzvuvAsjRgzHwb/34+ChQ+jRIwQvvfwK3n7rTbRt2xYA4O/vj6+/+gpvvf0OOnfpirfeehtffvE5OnTocNOxTZgwAUqlEgMGDsTMWbMxa+ZM/P7bTnzzzQZ07dYDX3z5JdavWwt7e3sAwKr33sX58+fRrVsPjBp9C37YtAklpaX6XyQiMgomPERkdhwdHfHmW2+jqKgIFy9exL79B5CcnIItW7aitLQMf/zxJ9LT09G1azAAYM6c2fh12zYcPHgIFRUV2LtvH06fOYMJ4++66TarqjRYufI9lJaW4cSJ/3DmzBmEhoZi3779KCsrw1dffQ0nJyf4+fnpYqyqqkJ5eTmysrKxa9duo1wLIjIMJjxEZHYKCwuRl5fX8H1BARISEho9prS0DMr6IaQe3bvjqSfnNipGHjtmDNRq9U23mZySgtraWt33BYUFiL+izZqaGlRUVuqGrV54YQkmTpyIPbt34d577oGVFd9OicyZjdgBEBFdrbq6uumxmqbHBAoF8PY7/4cPPljb6jZrmmmzuWOC8HPnMHjIUEycOAGLFi7A4088hqlTp6G0tKzVMRCR8fAjCRGZVG2tFtbW1gY9Z3R0DPr362fQc96M2tpa/Pbb7xh3x13o4O+PsWNvvlCaiEyLCQ8RmVRaWhpuGT0ajo6OcHZ2Nsg5v9+4ESNHjsTcuU/AxcUFbm5uuP3223RFzcYwffo0BAYGwM7ODr1794bK2RlpaelGa4+I9MOEh4hM6oO16+DtrUZMdBQWv/C8Qc55+XI8Hpg6FZMnT8L5iHCEnjmFZ+bNg0KhMMj5m9O7d2/8+ccfSEy4jC+/+Awr312JM2fOGK09ItKPwtPLWyt2EEREppSTnYkRI0fj4sWLRmvjww/XIS83Dytee91obRDRzWMPDxEREckeEx4iskj/Hjls1L20ZkyfbtDzEpF+OKRFREREssceHiIiIpI9JjxEREQke0x4iIiISPaY8BAREZHsMeEhIiIi2WPCQ0RERLLHhIeIiIhkjwkPERERyR4THiIiIpI9JjxEREQke/8PFCD/Nz7jJ+YAAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "T = 100 * ms\n", "sim.run(T)\n", "\n", "fig, (ax1, ax2) = plt.subplots(2, 1, sharex=True)\n", "ax1.plot(mon.t / ms, mon.i, \"|\")\n", "ax1.set(ylabel=\"neuron index\", title=\"spiking\")\n", "ax2.plot(fiber.t / ms, fiber.irradiance_)\n", "ax2.set(\n", " ylabel=r\"$Irr_0$ (mm/mW$^2$)\", title=\"optogenetic stimulus\", xlabel=\"time [ms]\"\n", ");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If you're curious, here are the equations for the 4-state Markov model:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/latex": [ "\\begin{align*}C2 &= - C_{1} - O_{1} - O_{2} + 1 && \\text{(unit of $C_{2}$: $\\mathrm{rad}$)}\\\\\n", "Theta &= \\operatorname{int}_{}{\\left(\\phi_{pre} > 0 \\right)} && \\text{(unit of $\\Theta$: $\\mathrm{rad}$)}\\\\\n", "fphi &= O_{1} + O_{2} \\gamma && \\text{(unit of $fphi$: $\\mathrm{rad}$)}\\\\\n", "fv_timesVminusE &= v_{1} \\cdot \\left(1 - e^{\\frac{E - v_{post}}{v_{0}}}\\right) && \\text{(unit of $fv_{timesVminusE}$: $\\mathrm{V}$)}\\\\\n", "Hp &= \\frac{\\Theta \\phi_{pre}^{p}}{\\phi_{pre}^{p} + phim^{p}} && \\text{(unit of $Hp$: $\\mathrm{rad}$)}\\\\\n", "Hq &= \\frac{\\Theta \\phi_{pre}^{q}}{\\phi_{pre}^{q} + phim^{q}} && \\text{(unit of $Hq$: $\\mathrm{rad}$)}\\\\\n", "Ga1 &= Hp k_{1} && \\text{(unit of $Ga_{1}$: $\\mathrm{Hz}$)}\\\\\n", "Ga2 &= Hp k_{2} && \\text{(unit of $Ga_{2}$: $\\mathrm{Hz}$)}\\\\\n", "Gf &= Gf_{0} + Hq kf && \\text{(unit of $Gf$: $\\mathrm{Hz}$)}\\\\\n", "Gb &= Gb_{0} + Hq kb && \\text{(unit of $Gb$: $\\mathrm{Hz}$)}\\\\\n", "\\frac{\\mathrm{d}C_{1}}{\\mathrm{d}t} &= - C_{1} Ga_{1} + C_{2} Gr_{0} + Gd_{1} O_{1} && \\text{(unit of $C_{1}$: $\\mathrm{rad}$, flags: clock-driven)}\\\\\n", "\\frac{\\mathrm{d}O_{1}}{\\mathrm{d}t} &= C_{1} Ga_{1} + Gb O_{2} - O_{1} \\left(Gd_{1} + Gf\\right) && \\text{(unit of $O_{1}$: $\\mathrm{rad}$, flags: clock-driven)}\\\\\n", "\\frac{\\mathrm{d}O_{2}}{\\mathrm{d}t} &= C_{2} Ga_{2} + Gf O_{1} - O_{2} \\left(Gb + Gd_{2}\\right) && \\text{(unit of $O_{2}$: $\\mathrm{rad}$, flags: clock-driven)}\\\\\n", "\\rho_{rel} &&& \\text{(unit: $\\mathrm{rad}$)}\\end{align*}" ], "text/plain": [ "C2 = -C1 - O1 - O2 + 1 : radian\n", "Theta = int_(phi_pre > 0) : radian\n", "fphi = O1 + O2*gamma : radian\n", "fv_timesVminusE = v1*(1 - exp((E - v_post)/v0)) : volt\n", "Hp = Theta*phi_pre**p/(phi_pre**p + phim**p) : radian\n", "Hq = Theta*phi_pre**q/(phi_pre**q + phim**q) : radian\n", "Ga1 = Hp*k1 : hertz\n", "Ga2 = Hp*k2 : hertz\n", "Gf = Gf0 + Hq*kf : hertz\n", "Gb = Gb0 + Hq*kb : hertz\n", "dC1/dt = -C1*Ga1 + C2*Gr0 + Gd1*O1 : radian (clock-driven)\n", "dO1/dt = C1*Ga1 + Gb*O2 - O1*(Gd1 + Gf) : radian (clock-driven)\n", "dO2/dt = C2*Ga2 + Gf*O1 - O2*(Gb + Gd2) : radian (clock-driven)\n", "rho_rel : radian\n" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "opsin.synapses[ng.name].equations" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Conclusion\n", "We can see clearly that firing rate correlates with light intensity as expected.\n", "\n", "As a recap, in this tutorial we've seen how to:\n", "* configure and inject an opsin,\n", "* configure and inject a light source,\n", "* and control stimulation in an open-loop fashion." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Appendix: alternative opsin and neuron models\n", "\n", "Because it would be a pain and an obstacle to reproducibility to have to replace all pre-existing simple neuron models with more sophisticated ones with proper voltage ranges and units, we provide an approximation that is much more flexible, requiring only a current term, of any unit, in the target neurons. \n", "\n", "The Markov models of opsin dynamics we've used so far produce a rise, peak, and fall to a steady-state plateau current when subjected to sustained light. Since they are conductance-based, the current also varies with membrane voltage, including during spikes.\n", "The `ProportionalCurrentModel`, on the other hand, simply delivers current proportional to light intensity. \n", "This should be adequate for a wide range of use cases where the exact opsin current dynamics on short timescales don't matter so much and a sort of average current-light relationship will suffice.\n", "\n", "Speaking of realistic membrane voltages, does the Markov model's voltage-dependent current render it unsuitable for the most basic leaky integrate-and-fire (LIF) neuron model? LIF neurons reset on reaching their rheobase threshold, staying perpetually in a subthreshold region producing exaggerated opsin currents. How much does this affect the output? We will explore this question by comparing a variety of opsin/neuron model combinations.\n", "\n", "First, we introduce exponential integrate-and-fire neurons, which maintain simplicity while modeling an upward membrane potential swing during a spike. For more info, see the [related section in the Neuronal Dynamics online textbook](https://neuronaldynamics.epfl.ch/online/Ch5.S2.html) and their [example parameters table](https://neuronaldynamics.epfl.ch/online/Ch6.S2.html#:~:text=Table%C2%A06.1%3A%20Exemplar%20parameters).\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "neuron_params = {\n", " \"tau_m\": 20 * b2.ms,\n", " \"Rm\": 500 * b2.Mohm,\n", " \"theta\": -50 * b2.mV,\n", " \"Delta_T\": 2 * b2.mV,\n", " \"E_L\": -70 * b2.mV,\n", "}\n", "\n", "\n", "def prep_ng(ng, neuron_type, markov_opsin):\n", " ng.v = neuron_params[\"E_L\"]\n", " assign_coords_rand_rect_prism(ng, xlim=(0, 0), ylim=(0, 0), zlim=(0, 0))\n", " state_mon = b2.StateMonitor(ng, (\"Iopto\", \"v\"), record=True)\n", " spike_mon = b2.SpikeMonitor(ng)\n", " return neuron_type, ng, state_mon, spike_mon, markov_opsin\n", "\n", "\n", "experiments = []\n", "\n", "eif = b2.NeuronGroup(\n", " 1,\n", " \"\"\"\n", " dv/dt = (-(v - E_L) + Delta_T*exp((v-theta)/Delta_T) + Rm*Iopto) / tau_m : volt\n", " Iopto : amp\n", " \"\"\",\n", " threshold=\"v > -10*mV\",\n", " reset=\"v = E_L - 0*mV\",\n", " namespace=neuron_params,\n", ")\n", "\n", "experiments.append(prep_ng(eif, \"EIF\", True))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Configure LIF models\n", "Here we define LIF neurons with biological parameters for the sake of comparison, but the `ProportionalCurrentModel` is compatible with models of any voltage range and units, so long as it has an `Iopto` term." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "def prep_lif(markov_opsin):\n", " ng = b2.NeuronGroup(\n", " 1,\n", " \"\"\"dv/dt = (-(v - E_L) + Rm*Iopto) / tau_m : volt\n", " Iopto : amp\"\"\",\n", " threshold=\"v > theta + 4*mV\",\n", " reset=\"v = E_L - 0*mV\",\n", " namespace=neuron_params,\n", " )\n", " return prep_ng(ng, \"LIF\", markov_opsin)\n", "\n", "\n", "experiments.append(prep_lif(True))\n", "experiments.append(prep_lif(False))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Comparing to more realistic models\n", "To see how well simplified neuron and opsin models do, we'll also compare to the more complex [AdEx neuron](http://www.scholarpedia.org/article/Adaptive_exponential_integrate-and-fire_model#:~:text=The%20Adaptive%20exponential%20integrate-and-fire%20model%2C%20also%20called%20AdEx%2C,coupled%20to%20a%20second%20equation%20which%20describes%20adaptation.) (with [\"tonic\" firing pattern parameters](https://neuronaldynamics.epfl.ch/online/Ch6.S2.html)) and a Hodgkin-Huxley model (code from [Neuronal Dynamics](https://neuronaldynamics-exercises.readthedocs.io/en/latest/_modules/neurodynex3/hodgkin_huxley/HH.html#:~:text=def%20simulate_HH_neuron))." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "adex = b2.NeuronGroup(\n", " 1,\n", " \"\"\"dv/dt = (-(v - E_L) + 2*mV*exp((v-theta)/Delta_T) + Rm*(Iopto-w)) / tau_m : volt\n", " dw/dt = (0*nsiemens*(v-E_L) - w) / (100*ms) : amp\n", " Iopto : amp\"\"\",\n", " threshold=\"v>=-10*mV\",\n", " reset=\"v=-55*mV; w+=5*pamp\",\n", " namespace=neuron_params,\n", ")\n", "experiments.append(prep_ng(adex, \"AdEx\", True))\n", "\n", "# Parameters\n", "# Cm = 1*ufarad*cm**-2 * area\n", "Cm = neuron_params[\"tau_m\"] / neuron_params[\"Rm\"]\n", "# area = 5000*umetre**2\n", "area = Cm / (1 * ufarad * cm**-2)\n", "gl = 0.3 * msiemens * cm**-2 * area\n", "El = -65 * mV\n", "EK = -90 * mV\n", "ENa = 50 * mV\n", "g_na = 40 * msiemens * cm**-2 * area\n", "g_kd = 35 * msiemens * cm**-2 * area\n", "VT = -63 * mV\n", "\n", "# The model\n", "eqs = b2.Equations(\n", " \"\"\"\n", "dv/dt = (gl*(El-v) - g_na*(m*m*m)*h*(v-ENa) - g_kd*(n*n*n*n)*(v-EK) + Iopto)/Cm : volt\n", "dm/dt = 0.32*(mV**-1)*4*mV/exprel((13.*mV-v+VT)/(4*mV))/ms*(1-m)-0.28*(mV**-1)*5*mV/exprel((v-VT-40.*mV)/(5*mV))/ms*m : 1\n", "dn/dt = 0.032*(mV**-1)*5*mV/exprel((15.*mV-v+VT)/(5*mV))/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", "Iopto : amp\n", "\"\"\"\n", ")\n", "# Threshold and refractoriness are only used for spike counting\n", "hh = b2.NeuronGroup(\n", " 1, eqs, threshold=\"v > -40*mV\", reset=\"\", method=\"exponential_euler\"\n", ")\n", "\n", "experiments.append(prep_ng(hh, \"HH\", True))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Opsin configuration\n", "Note that the only parameter we need to set for the simple opsin model is the gain on light intensity, `I_per_Irr`.\n", "This term defines what the neuron receives for every 1 mW/mm2 of light intensity.\n", "Here that term is defined in amperes, but it could have been unitless for a simpler model.\n", "\n", "The gain is tuned somewhat by hand (in relation to the membrane resistance and the 20 mV gap between rest and threshold potential) to achieve similar outputs to the Markov model." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING /home/kyle/GaTech Dropbox/Kyle Johnsen/projects/cleo/cleo/light/light_dependence.py:81: UserWarning: No spectrum provided for light-dependent device simple_opsin. Assuming ε = 1 for all λ.\n", " warnings.warn(\n", " [py.warnings]\n" ] } ], "source": [ "light = cleo.light.Light(light_model=cleo.light.fiber473nm())\n", "simple_opsin = cleo.opto.ProportionalCurrentOpsin(\n", " name=\"simple_opsin\",\n", " # handpicked gain to make firing rate roughly comparable to EIF\n", " I_per_Irr=140 / neuron_params[\"Rm\"] * 20 * mV / (mwatt / mm2),\n", ")\n", "markov_opsin = cleo.opto.chr2_4s()\n", "markov_opsin.name = \"markov_opsin\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Simulation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And we set up the simulator:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "net = b2.Network()\n", "sim = cleo.CLSimulator(net)\n", "for ng_type, ng, state_mon, spike_mon, use_markov_opsin in experiments:\n", " net.add(ng, state_mon, spike_mon)\n", " sim.inject(light, ng)\n", " if use_markov_opsin:\n", " sim.inject(markov_opsin, ng)\n", " else:\n", " sim.inject(simple_opsin, ng)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We'll now run the simulation with light pulses of increasing amplitudes to observe the effect on the current." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING 'T' is an internal variable of group 'light_prop_markov_opsin_neurongroup_1', but also exists in the run namespace with the value 100. * msecond. The internal variable will be used. [brian2.groups.group.Group.resolve.resolution_conflict]\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING 'T' is an internal variable of group 'light_prop_markov_opsin_neurongroup_2', but also exists in the run namespace with the value 100. * msecond. The internal variable will be used. [brian2.groups.group.Group.resolve.resolution_conflict]\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING 'T' is an internal variable of group 'light_prop_markov_opsin_neurongroup_4', but also exists in the run namespace with the value 100. * msecond. The internal variable will be used. [brian2.groups.group.Group.resolve.resolution_conflict]\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING 'T' is an internal variable of group 'light_prop_markov_opsin_neurongroup_5', but also exists in the run namespace with the value 100. * msecond. The internal variable will be used. [brian2.groups.group.Group.resolve.resolution_conflict]\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING 'T' is an internal variable of group 'light_prop_simple_opsin_neurongroup_3', but also exists in the run namespace with the value 100. * msecond. The internal variable will be used. [brian2.groups.group.Group.resolve.resolution_conflict]\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO No numerical integration method specified for group 'neurongroup_1', using method 'euler' (took 0.02s, trying other methods took 0.05s). [brian2.stateupdaters.base.method_choice]\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO No numerical integration method specified for group 'neurongroup_2', using method 'exact' (took 0.48s). [brian2.stateupdaters.base.method_choice]\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO No numerical integration method specified for group 'neurongroup_3', using method 'exact' (took 0.00s). [brian2.stateupdaters.base.method_choice]\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO No numerical integration method specified for group 'neurongroup_4', using method 'euler' (took 0.01s, trying other methods took 0.07s). [brian2.stateupdaters.base.method_choice]\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING 'n' is an internal variable of group 'neurongroup_5', but also exists in the run namespace with the value 10. The internal variable will be used. [brian2.groups.group.Group.resolve.resolution_conflict]\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO No numerical integration method specified for group 'syn_markov_opsin_neurongroup_1', using method 'euler' (took 0.04s, trying other methods took 0.05s). [brian2.stateupdaters.base.method_choice]\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO No numerical integration method specified for group 'syn_markov_opsin_neurongroup_2', using method 'euler' (took 0.02s, trying other methods took 0.03s). [brian2.stateupdaters.base.method_choice]\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO No numerical integration method specified for group 'syn_markov_opsin_neurongroup_4', using method 'euler' (took 0.02s, trying other methods took 0.03s). [brian2.stateupdaters.base.method_choice]\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO No numerical integration method specified for group 'syn_markov_opsin_neurongroup_5', using method 'euler' (took 0.02s, trying other methods took 0.03s). [brian2.stateupdaters.base.method_choice]\n" ] } ], "source": [ "# hand-picked range of amplitudes to show 0 to moderate firing rates\n", "for irradiance in np.linspace(0.015, 0.05, 5) * mwatt / mm2:\n", " light.update(irradiance)\n", " sim.run(60 * ms)\n", " light.update(0)\n", " sim.run(60 * ms)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Results" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "c1 = \"#8000b4\"\n", "c2 = \"#df87e1\"\n", "\n", "fig, axs = plt.subplots(\n", " len(experiments), 1, figsize=(8, 2 * len(experiments)), sharex=True\n", ")\n", "\n", "for ax, (ng_type, _, state_mon, spike_mon, markov_opsin) in zip(axs, experiments):\n", " ax.plot(state_mon.t / ms, state_mon.Iopto[0] / b2.pA, c=c1, label=\"$I_{opto}$ (pA)\")\n", " ax.plot(state_mon.t / ms, state_mon.v[0] / mV, c=c2, label=\"v (mV)\")\n", " opsin_name = \"4-state Markov\" if markov_opsin else \"proportional current\"\n", " ax.set(title=f\"{ng_type} neuron, {opsin_name} opsin model\")\n", "\n", "axs[-1].set_xlabel(\"t (ms)\")\n", "axs[0].legend()\n", "max_ylim = max([ax.get_ylim()[1] for ax in axs])\n", "for ax in axs:\n", " ax.set_ylim([-75, 200])\n", "\n", "fig.tight_layout()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Qualitatively we can see that the proportional current model doesn't capture the rise, peak, plateau, and fall dynamics that a Markov model can produce, but is a reasonable approximation if all you need is a roughly linear light intensity-firing rate relationship. We also see that a variety of neuron/opsin model combinations all produce similar firing responses to light." ] } ], "metadata": { "kernelspec": { "display_name": "python3", "language": "python", "name": "python3" } }, "nbformat": 4, "nbformat_minor": 2 }