{ "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={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), 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')})" ] }, "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={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), 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')})" ] }, "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 0.01s, trying other methods took 0.04s). [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 0.02s, trying other methods took 0.05s). [brian2.stateupdaters.base.method_choice]\n" ] }, { "data": { "image/png": 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", "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} \\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 0.01s, 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 'neurongroup_2', using method 'exact' (took 0.04s). [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 0.06s). [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 0.02s, trying other methods took 0.02s). [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 0.01s, trying other methods took 0.01s). [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 0.01s, trying other methods took 0.01s). [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 0.01s, trying other methods took 0.01s). [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 }