{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Custom models\n", "\n", "\n", "\n", "**With great power comes great responsibility!** - Uncle Ben\n", "\n", "In the following tutorial, we’ll explore how to modify neuron models created by\n", "Dendrify to generate custom models. Specifically:\n", "\n", "* First, we’ll create a simple 2-compartment neuron with adaptation using\n", "Dendrify, which will serve as our \"control\" model.\n", "\n", "* Next, we’ll attempt to replicate this model using only custom equations and\n", "parameters.\n", "\n", "
\n", "Disclaimer\n", "\n", "This tutorial is intended for experienced Dendrify/Brian users who are comfortable working with custom model equations. Modifying Dendrify's equations offers significant flexibility but also increases the risk of introducing errors. While Dendrify and Brian will catch most of these and raise exceptions, it's crucial to thoroughly test any custom models before using them in experiments to ensure they work as expected and don’t contain hidden bugs. If you need assistance with creating a custom model, please refer to the available [support](https://dendrify.readthedocs.io/en/latest/support.html) options.\n", "
\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Importing Libraries & Defining Helper Functions\n", "\n", "
\n", "To avoid repetitive code, we will first create some helper functions that handle the generation of all necessary Brian objects, run the simulation, and plot the results. You don’t need to focus too much on how they work. Instead, concentrate on the code blocks that demonstrate how to modify equations in Dendrify. At the end of the tutorial, we’ll bring everything together, and it will be clearer how the entire pipeline works.\n", "
\n" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import brian2 as b\n", "from brian2.units import Hz, ms, mV, nS, pF, pA\n", "from dendrify import Soma, Dendrite, NeuronModel\n", "\n", "\n", "b.prefs.codegen.target = 'numpy' # faster for simple simulations\n", "\n", "def create_neuron_model(soma, dend):\n", " model = NeuronModel([(soma, dend, 15*nS)], v_rest=-60*mV)\n", " model.add_params({\n", " 'Vth': -40*mV,\n", " 'tauw_soma': 150*ms,\n", " 'a_soma': 0*nS,\n", " 'b_soma': 50*pA,\n", " 'Vr': -50*mV})\n", " return model\n", "\n", "def create_neuron_group(model):\n", " return model.make_neurongroup(\n", " 1, method='euler',\n", " threshold='V_soma > Vth',\n", " reset='V_soma = Vr; w_soma += b_soma',\n", " refractory=4*ms)\n", "\n", "def create_brian_objects(neuron):\n", " poisson = b.PoissonGroup(10, rates=20*Hz)\n", " syn = b.Synapses(poisson, neuron, on_pre='s_AMPA_x_dend += 1; s_NMDA_x_dend += 1')\n", " syn.connect(p=1)\n", " mon = b.StateMonitor(neuron, ['V_soma', 'V_dend', 'w_soma'], record=True)\n", " return poisson, syn, mon\n", "\n", "def run_simulation(net):\n", " b.start_scope()\n", " b.seed(42)\n", " net.run(500*ms)\n", "\n", "def plot_results(mon):\n", " time = mon.t / ms\n", " v_soma = mon.V_soma[0] / mV\n", " v_dend = mon.V_dend[0] / mV\n", " w = mon.w_soma[0] / pA\n", "\n", " fig, (ax1, ax2) = b.subplots(2, 1, figsize=[6, 6], sharex=True)\n", " ax1.plot(time, v_soma, label='soma')\n", " ax1.plot(time, v_dend, label='dendrite', c='C3')\n", " ax1.set_ylabel('Voltage (mV)')\n", " ax1.legend()\n", " ax2.plot(time, w, color='black', label='w')\n", " ax2.set_ylabel('Adaptation current (pA)')\n", " ax2.set_xlabel('Time (ms)')\n", " ax2.legend()\n", " fig.tight_layout()\n", " b.show()\n", "\n", "def one_function_to_rule_them_all(soma, dend):\n", " model = create_neuron_model(soma, dend)\n", " neuron = create_neuron_group(model)\n", " poisson, syn, mon = create_brian_objects(neuron)\n", " net = b.Network(neuron, poisson, syn, mon)\n", " run_simulation(net)\n", " plot_results(mon)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Control model behavior" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "soma = Soma('soma', model='adaptiveIF', cm_abs=200*pF, gl_abs=10*nS)\n", "dend = Dendrite('dend', cm_abs=50*pF, gl_abs=2.5*nS)\n", "dend.synapse('AMPA', tag='x', g=3*nS, t_decay=2*ms)\n", "dend.synapse('NMDA', tag='x', g=3*nS, t_decay=60*ms)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "one_function_to_rule_them_all(soma, dend)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "The upper panel shows how the somatic and dendritic voltages evolve over time in \n", "response to random synaptic input on the dendrite. The lower panel illustrates \n", "the adaptation current dynamics and how it is influenced by somatic spiking. Next,\n", "we’ll try to reproduce the same model behavior using custom equations.\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Customizing a Soma\n", "\n", "
\n", "Let's first inspect the somatic equations that were generated by Dendrify:\n", "
" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "dV_soma/dt = (gL_soma * (EL_soma-V_soma) + I_soma - w_soma) / C_soma :volt\n", "dw_soma/dt = (a_soma * (V_soma-EL_soma) - w_soma) / tauw_soma :amp\n", "I_soma = I_ext_soma :amp\n", "I_ext_soma :amp\n" ] } ], "source": [ "print(soma.equations)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "Now let's try to create the same equations starting from a simple passive soma:\n", "
" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "dV_soma/dt = (gL_soma * (EL_soma-V_soma) + I_soma) / C_soma :volt\n", "I_soma = I_ext_soma :amp\n", "I_ext_soma :amp\n" ] } ], "source": [ "soma_custom1 = Soma('soma', cm_abs=200*pF, gl_abs=10*nS)\n", "print(soma_custom1.equations)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Option 1: Replacing existing equations" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "dV_soma/dt = (gL_soma * (EL_soma-V_soma) + I_soma - w_soma) / C_soma :volt\n", "dw_soma/dt = (a_soma * (V_soma-EL_soma) - w_soma) / tauw_soma :amp\n", "I_soma = I_ext_soma :amp\n", "I_ext_soma :amp\n" ] } ], "source": [ "custom_eqs = '''\n", "dV_soma/dt = (gL_soma * (EL_soma-V_soma) + I_soma - w_soma) / C_soma :volt\n", "dw_soma/dt = (a_soma * (V_soma-EL_soma) - w_soma) / tauw_soma :amp'''\n", "\n", "soma_custom1.replace_equations(\n", " 'dV_soma/dt = (gL_soma * (EL_soma-V_soma) + I_soma) / C_soma :volt',\n", " custom_eqs)\n", "\n", "print(soma_custom1.equations)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "one_function_to_rule_them_all(soma_custom1, dend)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "Notice how both the equations and the model response are identical to the control model.\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Option 2: targeted string replacements and additions" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "dV_soma/dt = (gL_soma * (EL_soma-V_soma) + I_soma - w_soma) / C_soma :volt\n", "I_soma = I_ext_soma :amp\n", "I_ext_soma :amp\n", "dw_soma/dt = (a_soma * (V_soma-EL_soma) - w_soma) / tauw_soma :amp\n" ] } ], "source": [ "soma_custom2 = Soma('soma', cm_abs=200*pF, gl_abs=10*nS)\n", "soma_custom2.replace_equations(\n", " \"I_soma)\",\n", " \"I_soma - w_soma)\")\n", "\n", "soma_custom2.add_equations(\n", " 'dw_soma/dt = (a_soma * (V_soma-EL_soma) - w_soma) / tauw_soma :amp')\n", "\n", "print(soma_custom2.equations)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "one_function_to_rule_them_all(soma_custom2, dend)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "Once again, we’ve replicated the control model using more targeted string formatting.\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Customizing a Dendrite\n", "\n", "
\n", "Let’s first take a look at the dendritic equations generated by Dendrify. Notice that this time, the equations are more complex, as they describe the AMPA and NMDA synaptic dynamics.\n", "
\n" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "dV_dend/dt = (gL_dend * (EL_dend-V_dend) + I_dend) / C_dend :volt\n", "I_dend = I_ext_dend + I_NMDA_x_dend + I_AMPA_x_dend :amp\n", "I_ext_dend :amp\n", "I_AMPA_x_dend = g_AMPA_x_dend * (E_AMPA-V_dend) * s_AMPA_x_dend * w_AMPA_x_dend :amp\n", "ds_AMPA_x_dend/dt = -s_AMPA_x_dend / t_AMPA_decay_x_dend :1\n", "I_NMDA_x_dend = g_NMDA_x_dend * (E_NMDA-V_dend) * s_NMDA_x_dend / (1 + Mg_con * exp(-Alpha_NMDA*(V_dend/mV+Gamma_NMDA)) / Beta_NMDA) * w_NMDA_x_dend :amp\n", "ds_NMDA_x_dend/dt = -s_NMDA_x_dend/t_NMDA_decay_x_dend :1\n" ] } ], "source": [ "print(dend.equations)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "Like in the previous example, we will start from a passive dendritic compartment\n", "and then modify its equations using the `replace_equations` and `add_equations`\n", "methods provided by Dendrify.\n", "
" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "dV_dend/dt = (gL_dend * (EL_dend-V_dend) + I_dend) / C_dend :volt\n", "I_dend = I_ext_dend :amp\n", "I_ext_dend :amp\n" ] } ], "source": [ "dend_custom = Dendrite('dend', cm_abs=50*pF, gl_abs=2.5*nS)\n", "print(dend_custom.equations)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "dV_dend/dt = (gL_dend * (EL_dend-V_dend) + I_dend) / C_dend :volt\n", "I_dend = I_ext_dend + I_NMDA_x_dend + I_AMPA_x_dend :amp\n", "I_ext_dend :amp\n", "\n", "I_AMPA_x_dend = g_AMPA_x_dend * (E_AMPA-V_dend) * s_AMPA_x_dend * w_AMPA_x_dend :amp\n", "ds_AMPA_x_dend/dt = -s_AMPA_x_dend / t_AMPA_decay_x_dend :1\n", "I_NMDA_x_dend = g_NMDA_x_dend * (E_NMDA-V_dend) * s_NMDA_x_dend / (1 + Mg_con * exp(-Alpha_NMDA*(V_dend/mV+Gamma_NMDA)) / Beta_NMDA) * w_NMDA_x_dend :amp\n", "ds_NMDA_x_dend/dt = -s_NMDA_x_dend/t_NMDA_decay_x_dend :1\n" ] } ], "source": [ "dend_custom.replace_equations(\n", " 'I_dend = I_ext_dend :amp',\n", " 'I_dend = I_ext_dend + I_NMDA_x_dend + I_AMPA_x_dend :amp')\n", "\n", "custom_synaptic_eqs = \"\"\"\n", "I_AMPA_x_dend = g_AMPA_x_dend * (E_AMPA-V_dend) * s_AMPA_x_dend * w_AMPA_x_dend :amp\n", "ds_AMPA_x_dend/dt = -s_AMPA_x_dend / t_AMPA_decay_x_dend :1\n", "I_NMDA_x_dend = g_NMDA_x_dend * (E_NMDA-V_dend) * s_NMDA_x_dend / (1 + Mg_con * exp(-Alpha_NMDA*(V_dend/mV+Gamma_NMDA)) / Beta_NMDA) * w_NMDA_x_dend :amp\n", "ds_NMDA_x_dend/dt = -s_NMDA_x_dend/t_NMDA_decay_x_dend :1\"\"\"\n", "\n", "dend_custom.add_equations(custom_synaptic_eqs)\n", "\n", "print(dend_custom.equations)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "SPOILER ALERT!\n", "\n", "Although the custom dendrite has identical equations to the control dendrite, running the same simulation will result in an error. Scroll down to find out why.\n", "
\n" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "ename": "BrianObjectException", "evalue": "Error encountered with object named 'neurongroup_1'.\nObject was created here (most recent call only, full details in debug log):\n File '/home/michalis/.conda/envs/brian/lib/python3.12/site-packages/dendrify/neuronmodel.py', line 362, in make_neurongroup\n group = NeuronGroup(N,\n\nAn error occurred when preparing an object. (See above for original error message and traceback.)", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", "File \u001b[0;32m~/.conda/envs/brian/lib/python3.12/site-packages/brian2/core/network.py:1003\u001b[0m, in \u001b[0;36mNetwork.before_run\u001b[0;34m(self, run_namespace)\u001b[0m\n\u001b[1;32m 1002\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 1003\u001b[0m \u001b[43mobj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbefore_run\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrun_namespace\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1004\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m ex:\n", "File \u001b[0;32m~/.conda/envs/brian/lib/python3.12/site-packages/brian2/groups/neurongroup.py:989\u001b[0m, in \u001b[0;36mNeuronGroup.before_run\u001b[0;34m(self, run_namespace)\u001b[0m\n\u001b[1;32m 987\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mbefore_run\u001b[39m(\u001b[38;5;28mself\u001b[39m, run_namespace\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m 988\u001b[0m \u001b[38;5;66;03m# Check units\u001b[39;00m\n\u001b[0;32m--> 989\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mequations\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcheck_units\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrun_namespace\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrun_namespace\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 990\u001b[0m \u001b[38;5;66;03m# Check that subexpressions that refer to stateful functions are labeled\u001b[39;00m\n\u001b[1;32m 991\u001b[0m \u001b[38;5;66;03m# as \"constant over dt\"\u001b[39;00m\n", "File \u001b[0;32m~/.conda/envs/brian/lib/python3.12/site-packages/brian2/equations/equations.py:1165\u001b[0m, in \u001b[0;36mEquations.check_units\u001b[0;34m(self, group, run_namespace)\u001b[0m\n\u001b[1;32m 1163\u001b[0m external \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;28mset\u001b[39m(all_variables\u001b[38;5;241m.\u001b[39mkeys())\n\u001b[0;32m-> 1165\u001b[0m resolved_namespace \u001b[38;5;241m=\u001b[39m \u001b[43mgroup\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mresolve_all\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1166\u001b[0m \u001b[43m \u001b[49m\u001b[43mexternal\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrun_namespace\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43muser_identifiers\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexternal\u001b[49m\n\u001b[1;32m 1167\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# all variables are user defined\u001b[39;00m\n\u001b[1;32m 1169\u001b[0m all_variables\u001b[38;5;241m.\u001b[39mupdate(resolved_namespace)\n", "File \u001b[0;32m~/.conda/envs/brian/lib/python3.12/site-packages/brian2/groups/group.py:801\u001b[0m, in \u001b[0;36mGroup.resolve_all\u001b[0;34m(self, identifiers, run_namespace, user_identifiers, additional_variables)\u001b[0m\n\u001b[1;32m 800\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m identifier \u001b[38;5;129;01min\u001b[39;00m identifiers:\n\u001b[0;32m--> 801\u001b[0m resolved[identifier] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_resolve\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 802\u001b[0m \u001b[43m \u001b[49m\u001b[43midentifier\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 803\u001b[0m \u001b[43m \u001b[49m\u001b[43muser_identifier\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43midentifier\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43muser_identifiers\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 804\u001b[0m \u001b[43m \u001b[49m\u001b[43madditional_variables\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43madditional_variables\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 805\u001b[0m \u001b[43m \u001b[49m\u001b[43mrun_namespace\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrun_namespace\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 806\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 807\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m resolved\n", "File \u001b[0;32m~/.conda/envs/brian/lib/python3.12/site-packages/brian2/groups/group.py:756\u001b[0m, in \u001b[0;36mGroup._resolve\u001b[0;34m(self, identifier, run_namespace, user_identifier, additional_variables)\u001b[0m\n\u001b[1;32m 754\u001b[0m \u001b[38;5;66;03m# We did not find the name internally, try to resolve it in the external\u001b[39;00m\n\u001b[1;32m 755\u001b[0m \u001b[38;5;66;03m# namespace\u001b[39;00m\n\u001b[0;32m--> 756\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_resolve_external\u001b[49m\u001b[43m(\u001b[49m\u001b[43midentifier\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrun_namespace\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrun_namespace\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m~/.conda/envs/brian/lib/python3.12/site-packages/brian2/groups/group.py:890\u001b[0m, in \u001b[0;36mGroup._resolve_external\u001b[0;34m(self, identifier, run_namespace, user_identifier, internal_variable)\u001b[0m\n\u001b[1;32m 889\u001b[0m error_msg \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mThe identifier \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00midentifier\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m could not be resolved.\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m--> 890\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(error_msg)\n\u001b[1;32m 892\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(matches) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m 893\u001b[0m \u001b[38;5;66;03m# Possibly, all matches refer to the same object\u001b[39;00m\n", "\u001b[0;31mKeyError\u001b[0m: 'The identifier \"w_NMDA_x_dend\" could not be resolved.'", "\nThe above exception was the direct cause of the following exception:\n", "\u001b[0;31mBrianObjectException\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[14], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mone_function_to_rule_them_all\u001b[49m\u001b[43m(\u001b[49m\u001b[43msoma\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdend_custom\u001b[49m\u001b[43m)\u001b[49m\n", "Cell \u001b[0;32mIn[2], line 53\u001b[0m, in \u001b[0;36mone_function_to_rule_them_all\u001b[0;34m(soma, dend)\u001b[0m\n\u001b[1;32m 51\u001b[0m poisson, syn, mon \u001b[38;5;241m=\u001b[39m create_brian_objects(neuron)\n\u001b[1;32m 52\u001b[0m net \u001b[38;5;241m=\u001b[39m b\u001b[38;5;241m.\u001b[39mNetwork(neuron, poisson, syn, mon)\n\u001b[0;32m---> 53\u001b[0m \u001b[43mrun_simulation\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnet\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 54\u001b[0m plot_results(mon)\n", "Cell \u001b[0;32mIn[2], line 28\u001b[0m, in \u001b[0;36mrun_simulation\u001b[0;34m(net)\u001b[0m\n\u001b[1;32m 26\u001b[0m b\u001b[38;5;241m.\u001b[39mstart_scope()\n\u001b[1;32m 27\u001b[0m b\u001b[38;5;241m.\u001b[39mseed(\u001b[38;5;241m42\u001b[39m)\n\u001b[0;32m---> 28\u001b[0m \u001b[43mnet\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m500\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mms\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m~/.conda/envs/brian/lib/python3.12/site-packages/brian2/core/base.py:346\u001b[0m, in \u001b[0;36mdevice_override..device_override_decorator..device_override_decorated_function\u001b[0;34m(*args, **kwds)\u001b[0m\n\u001b[1;32m 344\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mgetattr\u001b[39m(curdev, name)(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds)\n\u001b[1;32m 345\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 346\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m~/.conda/envs/brian/lib/python3.12/site-packages/brian2/units/fundamentalunits.py:2652\u001b[0m, in \u001b[0;36mcheck_units..do_check_units..new_f\u001b[0;34m(*args, **kwds)\u001b[0m\n\u001b[1;32m 2642\u001b[0m error_message \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m 2643\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFunction \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mf\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 2644\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mexpected a quantity with unit \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 2645\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00munit\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m for argument \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mk\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m but got \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 2646\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mvalue\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 2647\u001b[0m )\n\u001b[1;32m 2648\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m DimensionMismatchError(\n\u001b[1;32m 2649\u001b[0m error_message, get_dimensions(newkeyset[k])\n\u001b[1;32m 2650\u001b[0m )\n\u001b[0;32m-> 2652\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mf\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2653\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mresult\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m au:\n\u001b[1;32m 2654\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(au[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mresult\u001b[39m\u001b[38;5;124m\"\u001b[39m], Callable) \u001b[38;5;129;01mand\u001b[39;00m au[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mresult\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m (\n\u001b[1;32m 2655\u001b[0m \u001b[38;5;28mbool\u001b[39m,\n\u001b[1;32m 2656\u001b[0m np\u001b[38;5;241m.\u001b[39mbool_,\n\u001b[1;32m 2657\u001b[0m ):\n", "File \u001b[0;32m~/.conda/envs/brian/lib/python3.12/site-packages/brian2/core/network.py:1141\u001b[0m, in \u001b[0;36mNetwork.run\u001b[0;34m(self, duration, report, report_period, namespace, profile, level)\u001b[0m\n\u001b[1;32m 1138\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m namespace \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1139\u001b[0m namespace \u001b[38;5;241m=\u001b[39m get_local_namespace(level\u001b[38;5;241m=\u001b[39mlevel \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m3\u001b[39m)\n\u001b[0;32m-> 1141\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbefore_run\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnamespace\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1143\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(all_objects) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 1144\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;66;03m# TODO: raise an error? warning?\u001b[39;00m\n", "File \u001b[0;32m~/.conda/envs/brian/lib/python3.12/site-packages/brian2/core/base.py:346\u001b[0m, in \u001b[0;36mdevice_override..device_override_decorator..device_override_decorated_function\u001b[0;34m(*args, **kwds)\u001b[0m\n\u001b[1;32m 344\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mgetattr\u001b[39m(curdev, name)(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds)\n\u001b[1;32m 345\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 346\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m~/.conda/envs/brian/lib/python3.12/site-packages/brian2/core/network.py:1005\u001b[0m, in \u001b[0;36mNetwork.before_run\u001b[0;34m(self, run_namespace)\u001b[0m\n\u001b[1;32m 1003\u001b[0m obj\u001b[38;5;241m.\u001b[39mbefore_run(run_namespace)\n\u001b[1;32m 1004\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m ex:\n\u001b[0;32m-> 1005\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m BrianObjectException(\n\u001b[1;32m 1006\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAn error occurred when preparing an object.\u001b[39m\u001b[38;5;124m\"\u001b[39m, obj\n\u001b[1;32m 1007\u001b[0m ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mex\u001b[39;00m\n\u001b[1;32m 1009\u001b[0m \u001b[38;5;66;03m# Check that no object has been run as part of another network before\u001b[39;00m\n\u001b[1;32m 1010\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m obj \u001b[38;5;129;01min\u001b[39;00m all_objects:\n", "\u001b[0;31mBrianObjectException\u001b[0m: Error encountered with object named 'neurongroup_1'.\nObject was created here (most recent call only, full details in debug log):\n File '/home/michalis/.conda/envs/brian/lib/python3.12/site-packages/dendrify/neuronmodel.py', line 362, in make_neurongroup\n group = NeuronGroup(N,\n\nAn error occurred when preparing an object. (See above for original error message and traceback.)" ] } ], "source": [ "one_function_to_rule_them_all(soma, dend_custom)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "Although we matched the default dendrite equations, we didn’t provide values for some key parameters. This can be fixed using the `add_params` method. See below:\n", "
" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dend_custom_params = {\n", " 't_AMPA_decay_x_dend': 2*ms, # tau AMPA\n", " 't_NMDA_decay_x_dend': 60*ms, # tau NMDA\n", " 'g_AMPA_x_dend': 3*nS, # AMPA conductance\n", " 'g_NMDA_x_dend': 3*nS, # NMDA conductance\n", " 'w_NMDA_x_dend': 1, # NMDA weight\n", " 'w_AMPA_x_dend': 1, # AMPA weight\n", " }\n", "dend_custom.add_params(dend_custom_params)\n", "\n", "one_function_to_rule_them_all(soma, dend_custom)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Creating and simulating a custom model from scratch" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "Note\n", "\n", "When creating a custom model from scratch, we have the flexibility to simplify\n", "certain equations or variable names. This is because we know in advance the exact\n", "model we want to build. In contrast, Dendrify is agnostic to the user’s needs and\n", "must account for all possible model features to avoid breaking or causing simulation\n", "errors. This is why you might encounter some ugly or long variable or parameter\n", "names when using stock Dendrify.\n", "
\n" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Create and customize soma\n", "soma = Soma('soma', cm_abs=200*pF, gl_abs=10*nS)\n", "soma.replace_equations(\"I_soma)\", \"I_soma - w)\")\n", "soma.add_equations('dw/dt = (a * (V_soma-EL_soma) - w) / tauw :amp')\n", "\n", "# Create and customize dendrite\n", "dend = Dendrite('dend', cm_abs=50*pF, gl_abs=2.5*nS)\n", "dend.replace_equations(\n", " 'I_dend = I_ext_dend :amp',\n", " 'I_dend = I_ext_dend + I_NMDA + I_AMPA :amp')\n", "custom_synaptic_eqs = \"\"\"\n", "I_AMPA = g_AMPA * (E_AMPA-V_dend) * s_AMPA :amp\n", "ds_AMPA/dt = -s_AMPA / t_AMPA_decay :1\n", "I_NMDA = g_NMDA * (E_NMDA-V_dend) * s_NMDA / (1 + Mg_con * exp(-Alpha_NMDA*(V_dend/mV+Gamma_NMDA)) / Beta_NMDA) :amp\n", "ds_NMDA/dt = -s_NMDA/t_NMDA_decay :1\"\"\"\n", "dend.add_equations(custom_synaptic_eqs)\n", "\n", "# Create neuron model and add parameters\n", "model = NeuronModel([(soma, dend, 15*nS)], v_rest=-60*mV)\n", "model.add_params({\n", " # spiking parameters\n", " 'Vth': -40*mV,\n", " 'tauw': 150*ms,\n", " 'a': 0*nS,\n", " 'b': 50*pA,\n", " 'Vr': -50*mV,\n", " # synaptic parameters\n", " 't_AMPA_decay': 2*ms,\n", " 't_NMDA_decay': 60*ms,\n", " 'g_AMPA': 3*nS,\n", " 'g_NMDA': 3*nS})\n", "\n", "# Create neuron group\n", "neuron = model.make_neurongroup(\n", " 1, method='euler',\n", " threshold='V_soma > Vth',\n", " reset='V_soma = Vr; w += b',\n", " refractory=4*ms)\n", "\n", "# Create necessary Brian objects\n", "poisson = b.PoissonGroup(10, rates=20*Hz)\n", "syn = b.Synapses(poisson, neuron, on_pre='s_AMPA += 1; s_NMDA += 1')\n", "syn.connect(p=1)\n", "mon = b.StateMonitor(neuron, ['V_soma', 'V_dend', 'w'], record=True)\n", "net = b.Network(neuron, poisson, syn, mon)\n", "\n", "# Run simulation\n", "b.start_scope()\n", "b.seed(42)\n", "net.run(500*ms)\n", "\n", "# Plot results\n", "time = mon.t / ms\n", "v_soma = mon.V_soma[0] / mV\n", "v_dend = mon.V_dend[0] / mV\n", "w = mon.w[0] / pA\n", "\n", "fig, (ax1, ax2) = b.subplots(2, 1, figsize=[6, 6], sharex=True)\n", "ax1.plot(time, v_soma, label='soma')\n", "ax1.plot(time, v_dend, label='dendrite', c='C3')\n", "ax1.set_ylabel('Voltage (mV)')\n", "ax1.legend()\n", "ax2.plot(time, w, color='black', label='w')\n", "ax2.set_ylabel('Adaptation current (pA)')\n", "ax2.set_xlabel('Time (ms)')\n", "ax2.legend()\n", "fig.tight_layout()\n", "b.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Customizing a NeuronModel\n", "\n", "
\n", "Note that all the customization options available for `Soma` and `Dendrite` objects are also available for the final `NeuronModel`. The methods `add_equations`, `replace_equations`, and `add_params` are shared among these three classes.\n", "
" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "dV_soma/dt = (gL_soma * (EL_soma-V_soma) + I_soma - w) / C_soma :volt\n", "I_soma = I_ext_soma + I_dend_soma :amp\n", "I_ext_soma :amp\n", "dw/dt = (a * (V_soma-EL_soma) - w) / tauw :amp\n", "I_dend_soma = (V_dend-V_soma) * g_dend_soma :amp\n", "\n", "dV_dend/dt = (gL_dend * (EL_dend-V_dend) + I_dend) / C_dend :volt\n", "I_dend = I_ext_dend + I_soma_dend + I_NMDA + I_AMPA :amp\n", "I_ext_dend :amp\n", "\n", "I_AMPA = g_AMPA * (E_AMPA-V_dend) * s_AMPA :amp\n", "ds_AMPA/dt = -s_AMPA / t_AMPA_decay :1\n", "I_NMDA = g_NMDA * (E_NMDA-V_dend) * s_NMDA / (1 + Mg_con * exp(-Alpha_NMDA*(V_dend/mV+Gamma_NMDA)) / Beta_NMDA) :amp\n", "ds_NMDA/dt = -s_NMDA/t_NMDA_decay :1\n", "I_soma_dend = (V_soma-V_dend) * g_soma_dend :amp\n" ] } ], "source": [ "print(model.equations)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "dV_soma/dt = (gL_soma * (EL_soma-V_soma) + I_soma - w) / C_soma :volt\n", "I_soma = I_ext_soma + I_dend_soma :amp\n", "I_ext_soma :amp\n", "dw/dt = (a * (V_soma-EL_soma) - w) / tauw :amp\n", "I_dend_soma = (V_dend-V_soma) * g_dend_soma :amp\n", "\n", "dV_dend/dt = (gL_dend * (EL_dend-V_dend) + I_dend) / C_dend :volt\n", "I_dend = I_ext_dend + I_soma_dend + I_NMDA + I_AMPA :amp\n", "I_ext_dend :amp\n", "\n", "I_AMPA = g_AMPA * (E_AMPA-V_dend) * s_AMPA :amp\n", "ds_AMPA/dt = -s_AMPA / t_AMPA_decay :1\n", "I_NMDA = g_NMDA * (E_NMDA-V_dend) * s_NMDA / (1 + Mg_con * exp(-Alpha_NMDA*(V_dend/mV+Gamma_NMDA)) / Beta_NMDA) :amp\n", "ds_NMDA/dt = -s_NMDA/t_NMDA_decay :1\n", "\n", "\n", "Hello World!\n", "\n", "Have a beautiful and productive day!\n" ] } ], "source": [ "model.replace_equations(\n", " 'I_soma_dend = (V_soma-V_dend) * g_soma_dend :amp',\n", " '\\n\\nHello World!'\n", ")\n", "model.add_equations('Have a beautiful and productive day!')\n", "print(model.equations)" ] } ], "metadata": { "kernelspec": { "display_name": "brian", "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": "3.12.3" } }, "nbformat": 4, "nbformat_minor": 2 }